CN107945352A - Bus passenger flow data acquisition equipment and OD analysis systems - Google Patents

Abstract

The purpose of this application is to provide a bus passenger flow data acquisition device and OD analysis system, the system includes a server and at least one data data acquisition device, the directional antenna is used to limit the WiFi probe to only collect the WiFi data held by all passengers in the bus The MAC address of the device avoids the error introduced by the MAC address of the interfering device outside the vehicle; triggers the WiFi probe to stop or allow the collection of the MAC address by triggering the sensor; the CPU obtains the information on the bus when it leaves each station based on the MAC address The total number of people; and based on the update and adjustment of the MAC address of the bus between two adjacent stations collected by the WiFi probe, the corresponding number of people on board and number of people getting off the bus at each station; the total number of people on board and the type of bus The vehicle congestion degree is obtained through the combination of the data transmission unit; the collected passenger flow data is sent to the server through the data transmission unit, so as to analyze and obtain the OD matrix of each passenger's travel trajectory and all bus stops, and provide vehicle congestion degree query.

Description

Bus passenger flow data acquisition equipment and OD analysis system

technical field

The present application relates to the field of computer technology, in particular to a bus passenger flow data collection device and an OD analysis system realized by using the data collection device.

Background technique

At present, there are many passenger flow collection methods and equipment for bus passenger flow data collection. With the popularization of smart terminals in recent years, it has also appeared to collect the MAC addresses of the WiFi signals of passengers in the bus through WiFi signals. For example, at present, the collected WiFi data is used to detect and analyze the passenger flow in the bus. However, since the WiFi signal coverage ideally reaches a radius of 100 meters, the accuracy of the results cannot be guaranteed by directly using the scanned WiFi data. There will be a large number of Multi-inspection data, such as the WiFi data of pedestrians on the side of the platform and the WiFi data of private vehicles around the bus, cannot be effectively removed, resulting in low accuracy of the collected WiFi data. Another example is that at present, the WiFi signal acquisition equipment installed on the platform and the bus is used to filter and calculate the collected WiFi signals. Since the passengers who get off the bus will leave the platform quickly, the WiFi signal acquisition equipment on the platform cannot guarantee that the passenger can be detected. , more equipment, increased implementation costs.

Contents of the invention

One purpose of this application is to provide a bus passenger flow data acquisition device and OD analysis system to solve the problem in the prior art that the signal range of the WiFi probe is too large to effectively filter out the passenger data on the bus.

According to one aspect of the present application, there is provided a bus passenger flow data collection device, the data collection device includes: a CPU, a WiFi probe connected to the CPU, a trigger sensor and a data transmission unit and communicating with the WiFi probe At least one directional antenna connected, where:

The directional antenna is used to limit the WiFi probe to only collect the MAC addresses of the WiFi devices held by all passengers of the bus in each site;

The trigger sensor is connected in communication with the WiFi probe, and is used to trigger whether the WiFi probe stops or allows to collect the MAC address, and simultaneously collects the position and time of the bus at each site through the trigger sensor Identification; the CPU is configured to generate passenger data information of the bus at each site based on the bus's position at each site, time identifier and corresponding MAC address;

The data transmission unit is used to send the passenger data information of the bus at each stop to the server.

Further, in the above data collection device, the CPU is also used for:

Obtain the total number of people on board when the bus leaves each site based on the MAC address; for updating and adjusting the MAC addresses of the bus collected based on the WiFi probe between two adjacent sites , to obtain the number of boarders and the number of people who get off the bus corresponding to each station; used to Number of people, generating the passenger data information of the bus at each stop.

Further, in the above data acquisition device, the trigger sensor is used for:

After detecting that the bus enters the current site, trigger the WiFi probe to stop collecting the MAC address;

When it is detected that the bus leaves the current station, the WiFi probe is triggered to re-collect the MAC addresses of the WiFi devices held by the passengers in the bus and send them to the CPU.

Further, in the above data acquisition device, when the trigger sensor is a GPS positioning and navigation sensor, wherein,

The GPS positioning and navigation sensor locates the position of the bus; detects whether the bus enters the current site through a preset electronic fence,

When entering the area to which the preset electronic fence belongs, trigger the WiFi probe to stop collecting the MAC address;

When leaving the area of the preset electronic fence, the WiFi probe is triggered to re-collect the MAC addresses of the WiFi devices held by the passengers in the bus.

Further, in the above data acquisition device, the trigger sensor includes a GPS positioning navigation sensor and a door opening and closing sensor, wherein,

The GPS positioning and navigation sensor locates the position of the bus and identifies the current site;

When the door opening sensor detects the door opening signal of the bus, it is determined that the bus enters the current site, and the WiFi probe is triggered to stop collecting the MAC address based on the door opening signal;

When the door closing sensor detects the door closing signal of the bus, it is determined that the bus leaves the current site, and the WiFi probe is allowed to collect the MAC address based on the door closing signal.

Further, in the above data acquisition device, when the trigger sensor is a Bluetooth signal sensor:

By presetting the electronic fence to detect whether the bus enters the current station,

If the bluetooth signal sensor detects the incoming signal of the bus entering the preset electronic fence, it is determined that the bus enters the current site, and the WiFi probe is triggered to stop collecting the MAC based on the incoming signal. address; or,

If the bluetooth signal sensor detects that the bus leaves the station departure signal of the preset electronic fence, it is determined that the bus leaves the current site, and the WiFi probe is allowed to collect the information in the bus based on the departure signal. MAC addresses of WiFi devices held by all passengers.

Further, in the above data collection device, the data collection device further includes a data mining unit,

The data mining unit is communicatively connected to the CPU for:

The total MAC address and the actual total number of people in the bus, the newly added MAC address and the actual number of people added, and the reduced MAC address and the actual number of people added to the bus collected by the WiFi probe history are respectively carried out at each site. Analyze and mine to determine the preset in-vehicle ratio coefficient, preset addition ratio coefficient and preset reduction ratio coefficient of the bus at each stop.

Further, in the above data acquisition device, the CPU is used for:

Based on the MAC address and the preset scale factor in the car, determine the total number of people on board when the bus leaves each site;

Based on the newly added MAC address of the bus collected by the WiFi probe between adjacent two sites and the preset newly added proportional coefficient, it is determined that the bus corresponds to the last site in the adjacent two sites. car number;

Based on the reduced MAC address of the bus collected by the WiFi probe between two adjacent sites and the preset reduction ratio coefficient, determine the number of people who get off the bus corresponding to the latter site of the two adjacent sites .

Further, in the above data acquisition device, the data mining unit is also used for:

Binding the bus IC card identifier of the passenger with at least one MAC address, and updating the preset in-vehicle ratio coefficient, the preset addition ratio coefficient and the preset reduction ratio coefficient respectively based on the binding.

Further, in the above data collection device, the data collection device further includes a wireless access point,

The wireless access point communicates with the CPU and is used to provide wireless connection services to passengers in the bus.

Further, in the above data collection device, the CPU is also used for:

Based on the vehicle type to which the bus belongs and the total number of people on board the bus corresponding to each site, calculate the degree of congestion corresponding to the bus at each site;

The data transmission unit is further configured to: send the corresponding congestion degree of the bus at each stop to the server, so that the server returns the congestion degree query request sent by the user equipment to the user equipment. congestion.

According to another aspect of the present application, a bus passenger flow OD analysis system is also provided, which includes a server and at least one data collection device, the data collection device includes a CPU, a WiFi probe connected to the CPU, a trigger A sensor and data transmission unit and at least one directional antenna communicatively connected to said WiFi probe, wherein:

The directional antenna is used to limit the WiFi probe to only collect the MAC addresses of the WiFi devices held by all passengers in the bus;

The trigger sensor is connected in communication with the WiFi probe, and is used to trigger whether the WiFi probe stops or allows to collect the MAC address, and simultaneously collects the position and time of the bus at each site through the trigger sensor logo;

The CPU is configured to generate passenger data information of the bus at each site based on the bus's position at each site, time stamp and the corresponding MAC address;

The data transmission unit is used to send the passenger data information of the bus at each station to the server;

The server is configured to analyze the passenger data information of the bus at each station to obtain the travel trajectory of each passenger and the OD matrix between all bus stations.

Compared with the prior art, the application provides a bus passenger flow data acquisition device, the data acquisition device includes: a CPU, a WiFi probe connected to the CPU processor, a trigger sensor and a data transmission unit and the at least one directional antenna to which the WiFi probe is communicatively linked, wherein:

The directional antenna is used to limit the WiFi probe to only collect the MAC addresses of WiFi devices held by all passengers in each station of the bus, so that the MAC addresses of the WiFi devices collected only belong to the bus, avoiding The error introduced by the MAC address of the interfering device outside the station; the trigger sensor communicates with the WiFi probe to trigger whether the WiFi probe stops or allows the collection of the MAC address, so as to control the WiFi probe to MAC The acquisition of the address, at the same time through the trigger sensor to collect the position and time identification of the bus at each site; the CPU is used for based on the position, time identification and corresponding MAC address, generating the passenger data information of the bus at each site; the data transmission unit is used to send the passenger data information of the bus at each site to the server, not only realizing the passenger data information on the bus The directional data collection of passenger flow data improves the accuracy of passenger flow data collection, and uploads the passenger data information of each station of the bus to the server, so as to analyze the travel trajectory of each passenger and the distance between all bus stations. OD matrix.

Description of drawings

Other characteristics, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

Fig. 1 shows a schematic structural diagram of a bus passenger flow data acquisition device according to one aspect of the present application;

Fig. 2 shows the data table of only the MAC address of the WiFi device held by the passengers in the bus collected by the WiFi probe in a bus passenger flow data collection device according to one aspect of the present application;

Fig. 3 shows a MAC address-related data table obtained after the server analyzes the MAC address in a bus passenger flow OD analysis system according to one aspect of the present application.

The same or similar reference numerals in the drawings represent the same or similar components.

Detailed ways

The application will be described in further detail below in conjunction with the accompanying drawings.

Fig. 1 shows a schematic structural diagram of a bus passenger flow data acquisition device according to one aspect of the present application, which is applied in the process of counting the passenger flow of passengers at each bus stop in the traffic system, and the data acquisition device is a vehicle-mounted intelligent device , comprising a central processing unit 1 (Central Processing Unit, CPU), a WiFi probe 2 connected to the CPU1 processor, a trigger sensor 3 and a data transmission unit 4 and at least one directional antenna connected to the WiFi probe 2 respectively 5, of which:

The directional antenna 5 is used to limit the WiFi probe 2 to only collect the MAC addresses of the WiFi devices held by all passengers in each station of the bus, and is used to limit the WiFi devices held by passengers in the receiving bus. WiFi signal, so that the MAC address of the collected WiFi device only belongs to the bus, avoiding the error introduced by the MAC address of the interference device outside the platform; here, the WiFi device can be an intelligent terminal and a mobile device with WiFi function , such as smart phones with WiFi functions, IPADs, and mobile bracelets with WiFi functions.

The trigger sensor 3 is connected in communication with the WiFi probe 2, and is used to trigger whether the WiFi probe 2 stops or allows to collect the MAC address, so as to control the WiFi probe 2 to all passengers in the bus. The collection of the MAC address of the WiFi device, as shown in Figure 2, is the data table of the MAC address of the WiFi device held by the passenger in the bus collected by the WiFi probe 2 in the data collection device on the bus Simultaneously, the trigger sensor is also used to collect the position and time mark of the bus at each site by the trigger sensor, as shown in Figure 2, the actual time mark of the MAC address collected after the bus leaves the site, The longitude and latitude are used to indicate the actual position of the bus located by the trigger sensor 3 on the bus at each site, the speed is used to indicate the current driving speed of the bus, and the MAC identification of WiFi is used to indicate the detected The MAC address of the WiFi device and the 1 of the sign of going out of the electronic fence are used to indicate leaving the electronic fence and the WiFi probe 2 can collect the MAC address of the WiFi device held by the passenger in the bus.

The CPU1 is configured to generate the passenger data information of the bus at each site based on the position of the bus at each site, the time stamp and the corresponding MAC address, so as to realize the control of each site of the bus The corresponding passenger information is collected for data collection.

The data transmission unit 4 is configured to send the passenger data information of the bus at each site to a server, so that the server analyzes the passenger data information of the bus at each site, and obtains the passenger data information of each passenger. The bus trajectories and the OD matrix between all bus stations realize the collection of bus passenger data information at each station through the on-board data collection equipment on the bus. In order to save the resource consumption of the data collection equipment, the server Based on the received passenger data information of each bus at each site, data analysis is performed to obtain each passenger's ride trajectory and the OD matrix between all bus sites, so as to understand the status of all passengers on the bus. Riding trajectory and passenger data information at each station, etc.

In the bus passenger flow data acquisition device in an embodiment of the present application, the data acquisition device can also perform data analysis on the MAC addresses obtained by the collected buses at each station, for example, the CPU1 is used to perform data analysis based on the MAC address Obtain the total number of people on board when the bus leaves each site; be used for updating and adjusting the MAC address of the bus between two adjacent sites collected based on the WiFi probe 2 to obtain the bus The number of boarders and the number of people who get off at each station; used to generate the bus based on the position of the bus at each station, the time stamp and the corresponding total number of people on board, the number of people on board and the number of people who get off the bus The passenger data information of the bus at each station; the data transmission unit data transmission unit 4 is used to include the position, time stamp and corresponding number of boarders and number of people who get off the bus at each station and the number of people who leave the bus. The passenger data information of the total number of passengers on the bus at the time of the station is sent to the server, which not only realizes the directional data collection of passenger flow data on the bus, improves the accuracy of passenger flow data collection, but also obtains each station of the bus The passenger flow data of the bus is uploaded to the server, so as to analyze and obtain the OD matrix of each passenger's travel trajectory and all bus stops.

In the bus passenger flow data collection device in an embodiment of the present application, the trigger sensor may be a GPS positioning and navigation sensor. When the trigger sensor is a GPS positioning and navigation sensor, the position of the bus at each site is positioned by the GPS positioning and navigation sensor, so that the position at which the bus arrives at each site can be obtained in real time; then, by Preset the electronic fence to detect whether the bus enters the current site, when entering the area of the preset electronic fence, trigger the WiFi probe to stop collecting the MAC address; when leaving the area of the preset electronic fence , trigger the WiFi probe to re-collect the MAC address of the WiFi device held by the passenger in the bus, so as to realize the control of collecting or prohibiting the collection of the MAC address of the WiFi device held by the passenger in the bus.

For another example, the trigger sensor 3 may include a positioning navigation sensor and a door opening/closing sensor. Wherein, the GPS positioning navigation sensor locates the position of the bus; thereby the position of the bus arriving at each site can be obtained in real time; then, when the door opening sensor detects the door opening signal of the bus, it is determined The bus enters the current site, and the WiFi probe 2 is triggered to stop collecting the MAC address based on the door opening signal; or, when the door opening sensor detects the door closing signal of the bus, it is determined that the bus leaves the current site, based on The door-closing signal allows the WiFi probe 2 to collect the MAC address, so as to control when to collect or stop collecting the MAC addresses of the WiFi devices held by all passengers on the bus, so as to ensure the accuracy of the collection. The precision of the MAC address. For example, if the trigger sensor 3 is a bluetooth signal sensor, after the bluetooth signal sensor detects the incoming signal of the bus entering the preset electronic fence, after determining that the bus enters the current station, based on the The station signal triggers the WiFi probe 2 to stop collecting the MAC address; or, the bluetooth signal sensor detects the departure signal of the bus leaving the preset electronic fence to determine that the bus leaves the current After the station, the WiFi probe 2 is allowed to collect the MAC addresses of WiFi devices held by all passengers in the bus based on the off-site signal trigger, that is, the actual position of the station platform of the bus station is marked by GPS, when the bus enters When the platform or leaving the platform enters the preset electronic fence of the bus station, when the signal of the bus passing through the preset electronic fence is collected, it means that the bus enters the station, and when the signal of the bus passing through the preset electronic fence is collected After the signal, it means that the bus leaves the site, and according to the incoming signal or the signal of leaving the station detected by the Bluetooth signal sensor, the WiFi probe 2 can be triggered to start or stop collecting the MAC addresses of the WiFi devices held by all passengers in the bus. address, to reduce the access of additional interfering MAC addresses, and ensure the accuracy of the MAC addresses collected by the WiFi probe 2.

In the bus passenger flow data collection device in an embodiment of the present application, the data collection device also includes a data mining unit 5,

The data mining unit 5 is communicatively connected with the CPU1 for:

The total MAC address and the actual total number of people in the bus, the newly added MAC address and the actual number of people added, and the reduced MAC address and the actual number of people added to the bus collected by the WiFi probe 2 in each station are respectively carried out. The data is analyzed and mined to determine the preset in-vehicle ratio coefficient, preset addition ratio coefficient and preset reduction ratio coefficient of the bus at each station. For example, perform data analysis and mining on station 1 of bus A to obtain the total MAC addresses and actual total MAC The number of people, the newly added MAC address and the actual number of people added, and the reduced MAC address and the actual reduced number of people, for the station 1 of the bus A, for the N pairs obtained by the WiFi probe 2: the total MAC address in the car Data mining and analysis with the actual total number of people shows that there is a ratio between the total MAC address in the bus of bus station 1 and the actual total number of people, that is, the preset proportional coefficient V1 in the bus, for example, in bus A The V1 of the site 1 is 105%, and the total MAC addresses in the bus collected by the WiFi probe 2 are 40 when the time point is t(N+1), then 40*105%=42, It means that when the time point is t(N+1), the actual total number of people in the bus obtained by statistics when bus A is at stop 1 is 42. According to the method of obtaining the preset in-vehicle proportional coefficient according to the above-mentioned mining analysis, it can be obtained by mining and analyzing the newly added MAC address and the actual new number of people counted by the bus A at the station 1 according to the historical collection of the WiFi probe 2. The preset newly added proportional coefficient corresponding to bus A at station 1 can also be mined and analyzed to obtain the reduced MAC address and actual reduced number of people of bus A at station 1 that have been collected historically by the WiFi probe 2. The preset reduction ratio coefficient corresponding to A at station 1, so that the MAC address collected in real time can be calculated and estimated to obtain the total number of people on board, the number of people boarding and the number of people getting off bus A at station 1 at any point in time, so as to realize the real-time monitoring of bus A. Statistics of passenger flow data of vehicles at each site.

Then the bus passenger flow data acquisition device in an embodiment of the present application, the CPU1 is used for:

Based on the MAC address and the preset in-vehicle proportional coefficient, determine the total number of people on board when the bus leaves each site; for example, the V1 at the site 1 of the bus A is 105%, and at the point in time is The total MAC addresses in the bus collected by the WiFi probe 2 during t(N+1) are 40, then 40*105%=42, then when the time point is t(N+1), the bus When car A is at station 1, the actual total number of people in the car is 42.

Based on the newly added MAC address of the bus collected by the WiFi probe 2 between adjacent two sites and the preset newly added proportional coefficient, it is determined that the bus corresponds to the last site of the two adjacent sites. The number of people on the bus; for example, the preset new proportional coefficient V2 at the site 1 of the bus A is 100%, and the number of people in the bus collected by the WiFi probe 2 when the time point is t(N+1) When station 1 leaves the platform, 10 newly added MAC addresses are collected, then 10*100%=10, which means that when the time point is t(N+1), the number of passengers on board bus A at station 1 is 10 .

Based on the reduced MAC address of the bus collected by the WiFi probe 2 between two adjacent sites and the preset reduction ratio coefficient, determine the corresponding alighting time of the bus at the latter site of the two adjacent sites number of people. For example, the preset reduction ratio coefficient V3 at the site 1 of the bus A is 110%, and when the time point is t(N+1), the time point in the bus collected by the WiFi probe 2 is when the site 1 leaves the platform The collected and reduced MAC addresses are 10, then 10*110%=11, which means that when the time point is t(N+1), the number of bus A getting off at stop 1 is 11.

In the bus passenger flow data acquisition device in an embodiment of the present application, the data mining unit is also used for:

Binding the bus IC card identifier of the passenger with at least one MAC address, and updating the preset in-vehicle ratio coefficient, the preset addition ratio coefficient and the preset reduction ratio coefficient respectively based on the binding. For example, some passengers will carry a WiFi device or multiple WiFi devices. In order to identify the same passenger, a passenger is identified by the bus IC card swiped when boarding the bus. For example, the bus IC card identifier 1 corresponds to the MAC address Address32 and Address43 , it is used to indicate that when the MAC addresses Address32 and Address43 appear on the bus at the same time, it can indicate that only one passenger has been added to the bus instead of two passengers, and the bus IC card identifier of the bound passenger and at least one MAC address to update the preset in-vehicle proportional coefficient V1, the preset newly added proportional coefficient V2 and the preset reduced proportional coefficient V3, so as to avoid the V1, V2 and There is an error in V3 (mining and analysis through historical data may not have analyzed the situation that a passenger will bring at least one WiFi device), so according to the guarantee, the preset in-vehicle proportional coefficient V1 and the preset newly added proportional coefficient V2 And the accuracy of the total number of people on the bus, the number of people on board and the number of people getting off the bus calculated by the preset reduction ratio coefficient V3.

In the bus passenger flow data collection device in an embodiment of the present application, the data collection device also includes a wireless access point 6,

The wireless access point 6 is communicatively connected with the CPU1 for providing wireless connection services to passengers in the bus. For example, when there is no shared WiFi signal in the bus for passengers to connect to, in order to more accurately count the MAC addresses of the WiFi devices held by passengers in the bus, the data collection device also includes a connection with the CPU1 Connected wireless access point, the wireless access point broadcasts WiFi signals to the passengers in the bus, providing passengers with wireless connection services, so that the WiFi probe 2 can detect the WiFi device connected to the wireless access point MAC address, thereby realizing the acquisition of the MAC address of the WiFi device held by the passenger in the bus when there is no shared WiFi signal in the bus.

In the bus passenger flow data acquisition device in an embodiment of the present application, the CPU is also used for:

Based on the vehicle type to which the bus belongs and the total number of people on board the bus corresponding to each site, calculate the degree of congestion corresponding to the bus at each site;

The data transmission unit is also used to: send the congestion degree corresponding to the bus at each station to the server, so that when the user equipment sends a query request for the congestion degree of the bus to the server through the application program, the The server can return the congestion degree to the user equipment according to the congestion degree query request sent by the user equipment, so that the user can query the real-time congestion situation of the bus in real time, and then choose a different bus route or avoid the bus congestion period and routes to improve user experience.

According to another aspect of the present application, a bus passenger flow OD analysis system is also provided, which is applied in the process of counting the passenger passenger flow of each bus stop in the traffic system, wherein the bus passenger flow OD analysis system includes a server and At least one data collection device, the data collection device includes a CPU1, a WiFi probe 2 connected to the CPU1 processor, a trigger sensor 3 and a data transmission unit data transmission unit 4 and a communication connection with the WiFi probe 2 At least one directional antenna 5, wherein:

The directional antenna 5 is used to limit the WiFi probe 2 to only collect the MAC addresses of the WiFi devices held by all passengers in each station of the bus, and is used for directional reception of the WiFi devices held by passengers in the bus. WiFi signal, so that the MAC address of the collected WiFi device only belongs to the bus, avoiding the error introduced by the MAC address of the interference device outside the platform; here, the WiFi device can be an intelligent terminal and a mobile device with WiFi function , such as smart phones with WiFi functions, IPADs, and mobile bracelets with WiFi functions.

The trigger sensor 3 is connected in communication with the WiFi probe 2, and is used to trigger whether the WiFi probe 2 stops or allows to collect the MAC address, so as to control the WiFi probe 2 to all passengers in the bus. The collection of the MAC address of the WiFi device, as shown in Figure 2, is the data table of the MAC address of the WiFi device held by the passenger in the bus collected by the WiFi probe 2 in the data collection device on the bus Meanwhile, the trigger sensor is also used to collect the position and time mark of the bus at each site by the trigger sensor, as shown in Figure 2, the time is the actual time mark of collecting the MAC address after the bus leaves the site , longitude and latitude are used to indicate the actual position of the bus located by the trigger sensor 3 on the bus at each site, the speed is used to indicate the current driving speed of the bus, and the MAC identification of WiFi is used to indicate detection The MAC address of the WiFi device and the 1 of the geo-fence sign are used to indicate leaving the geo-fence and the WiFi probe 2 can collect the MAC address of the WiFi device held by the passenger in the bus.

The CPU1 is configured to generate the passenger data information of the bus at each site based on the position of the bus at each site, the time stamp and the corresponding MAC address, so as to realize the control of each site of the bus The corresponding passenger information is collected for data collection.

The data transmission unit 4 is configured to send the passenger data information of the bus at each site to a server, so that the server analyzes the passenger data information of the bus at each site, and obtains the passenger data information of each passenger. The bus trajectories and the OD matrix between all bus stations realize the collection of bus passenger data information at each station through the on-board data collection equipment on the bus. In order to save the resource consumption of the data collection equipment, the server Based on the received passenger data information of each bus at each site, data analysis is performed to obtain each passenger's ride trajectory and the OD matrix between all bus sites, so as to understand the status of all passengers on the bus. Riding trajectory and passenger data information at each station, etc.

The server is used to analyze the number of people on board and the number of people getting off corresponding to each station of all buses received and the total number of people on board when leaving the station, so as to obtain the riding trajectory of each passenger and all bus stations OD matrix between.

In summary, the present application provides a bus passenger flow data collection device in an embodiment, the data collection device includes: a CPU, a WiFi probe connected to the CPU processor, a trigger sensor, a data transmission unit and a at least one directional antenna to which the WiFi probe is communicatively linked, wherein:

The directional antenna is used to limit the WiFi probe to only collect the MAC addresses of WiFi devices held by all passengers in each station of the bus, so that the MAC addresses of the WiFi devices collected only belong to the bus, avoiding The error introduced by the MAC address of the interfering device outside the station; the trigger sensor communicates with the WiFi probe to trigger whether the WiFi probe stops or allows the collection of the MAC address, so as to control the WiFi probe to MAC The collection of address, collect the position and the time identification of described bus at each station by described trigger sensor simultaneously; The MAC address generates the passenger data information of the bus at each site; the data transmission unit is used to send the passenger data information of the bus at each site to the server, which not only realizes the bus on the bus The directional data collection of passenger flow data improves the accuracy of passenger flow data collection, and uploads the acquired passenger data information of each bus stop to the server, so as to analyze and obtain each passenger's travel trajectory and all bus stops. OD matrix between.

It should be noted that the present application can be implemented in software and/or a combination of software and hardware, for example, it can be implemented by using an application specific integrated circuit (ASIC), a general-purpose computer or any other similar hardware devices. In one embodiment, the software program of the present application can be executed by a processor to realize the steps or functions described above. Likewise, the software program (including associated data structures) of the present application can be stored in a computer-readable recording medium such as RAM memory, magnetic or optical drive or floppy disk and the like. In addition, some steps or functions of the present application may be realized by hardware, for example, as a circuit that cooperates with a processor to execute each step or function.

In addition, a part of the present application can be applied as a computer program product, such as a computer program instruction. When it is executed by a computer, the method and/or technical solution according to the present application can be invoked or provided through the operation of the computer. The program instructions for invoking the method of the present application may be stored in a fixed or removable recording medium, and/or transmitted through a data stream in a broadcast or other signal-carrying medium, and/or stored in a in the working memory of the computer device on which the program instructions described above are executed. Here, an embodiment according to the present application includes an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, triggering The operation of the device is based on the foregoing methods and/or technical solutions according to multiple embodiments of the present application.

It will be apparent to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, but that the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered exemplary and not restrictive in all points of view, and the scope of the application is defined by the appended claims rather than the foregoing description, and it is intended that the scope of the present application be defined by the appended claims rather than by the foregoing description. All changes within the meaning and range of equivalents of the elements are embraced in this application. Any reference sign in a claim should not be construed as limiting the claim concerned. In addition, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means stated in the device claims may also be realized by one unit or device through software or hardware. The words first, second, etc. are used to denote names and do not imply any particular order.

Claims (12)

1. A bus passenger flow data acquisition device, comprising CPU, a WiFi probe connected to the CPU, a trigger sensor and a data transmission unit and at least one directional antenna connected in communication with the WiFi probe respectively, wherein: The directional antenna is used to limit the WiFi probe to only collect the MAC addresses of the WiFi devices held by all passengers in the bus; The trigger sensor is connected in communication with the WiFi probe, and is used to trigger whether the WiFi probe stops or allows to collect the MAC address, and simultaneously collects the position and time of the bus at each site through the trigger sensor logo; The CPU is configured to generate passenger data information of the bus at each site based on the bus's position at each site, time stamp and corresponding MAC address; the data transmission unit is used to Send the passenger data information of the bus at each station to the server. 2. The data acquisition device according to claim 1, wherein the CPU is also used for: Obtain the total number of people on board when the bus leaves each site based on the MAC address; for updating and adjusting the MAC addresses of the bus collected based on the WiFi probe between two adjacent sites , to obtain the number of boarders and the number of people who get off the bus corresponding to each station; used to Number of people, generating the passenger data information of the bus at each stop. 3. The data collection device of claim 1, wherein the trigger sensor is used to: After detecting that the bus enters the current site, trigger the WiFi probe to stop collecting the MAC address; When it is detected that the bus leaves the current station, the WiFi probe is triggered to re-collect the MAC addresses of the WiFi devices held by the passengers in the bus and send them to the CPU. 4. The data acquisition device according to claim 3, wherein, when the trigger sensor is a GPS positioning and navigation sensor, wherein, The GPS positioning and navigation sensor locates the position of the bus at each site; By presetting the electronic fence to detect whether the bus enters the current station, When entering the area to which the preset electronic fence belongs, trigger the WiFi probe to stop collecting the MAC address; When leaving the area of the preset electronic fence, the WiFi probe is triggered to re-collect the MAC addresses of the WiFi devices held by the passengers in the bus. 5. The data acquisition device according to claim 3, wherein the trigger sensor comprises a positioning navigation sensor and a door switch sensor, wherein, The GPS positioning and navigation sensor locates the position of the bus at each site, and identifies the current site; When the door-opening sensor detects the door-opening signal of the bus, it is determined that the bus enters the current site, and the WiFi probe is triggered to stop collecting the MAC address based on the door-opening signal; When the door closing sensor detects the door closing signal of the bus, it is determined that the bus leaves the current site, and the WiFi probe is allowed to collect the MAC address based on the door closing signal. 6. The data acquisition device according to claim 3, wherein, when the trigger sensor is a bluetooth signal sensor, By presetting the electronic fence to detect whether the bus enters the current station, If the bluetooth signal sensor detects the incoming signal of the bus entering the preset electronic fence, it is determined that the bus enters the current site, and the WiFi probe is triggered to stop collecting the MAC based on the incoming signal. address; If the bluetooth signal sensor detects that the bus leaves the station departure signal of the preset electronic fence, it is determined that the bus leaves the current site, and the WiFi probe is allowed to collect the information in the bus based on the departure signal. MAC addresses of WiFi devices held by all passengers. 7. The data acquisition device according to claim 1, wherein the data acquisition device also comprises a data mining unit, The data mining unit is communicatively connected to the CPU for: The total MAC address and the actual total number of people in the bus, the newly added MAC address and the actual number of people added, and the reduced MAC address and the actual number of people added to the bus collected by the WiFi probe history are respectively carried out at each site. Analyze and mine to determine the preset in-vehicle ratio coefficient, preset addition ratio coefficient and preset reduction ratio coefficient of the bus at each stop. 8. The data acquisition device according to claim 7, wherein the CPU is used for: Based on the MAC address and the preset scale factor in the car, determine the total number of people on board when the bus leaves each site; Based on the newly added MAC address of the bus collected by the WiFi probe between adjacent two sites and the preset newly added proportional coefficient, it is determined that the bus corresponds to the last site in the adjacent two sites. car number; Based on the reduced MAC address of the bus collected by the WiFi probe between two adjacent sites and the preset reduction ratio coefficient, determine the number of people who get off the bus corresponding to the latter site of the two adjacent sites . 9. The data acquisition device according to claim 7, wherein the data mining unit is also used for: Binding the bus IC card identifier of the passenger with at least one MAC address, and updating the preset in-vehicle ratio coefficient, the preset addition ratio coefficient and the preset reduction ratio coefficient respectively based on the binding. 10. The data collection device according to claim 1, wherein the data collection device further comprises a wireless access point, The wireless access point communicates with the CPU and is used to provide wireless connection services to passengers in the bus. 11. The data acquisition device according to claim 2, wherein the CPU is also used for: Based on the vehicle type to which the bus belongs and the total number of people on board the bus corresponding to each site, calculate the degree of congestion corresponding to the bus at each site; The data transmission unit is further configured to: send the corresponding congestion degree of the bus at each stop to the server, so that the server returns the congestion degree query request sent by the user equipment to the user equipment. congestion. 12. A bus passenger flow OD analysis system, wherein, includes a server and at least one data acquisition device, the data acquisition device includes a CPU, a WiFi probe connected to the CPU, a trigger sensor and a data transmission unit and the communication with the at least one directional antenna to which the WiFi probe is communicatively linked, wherein: The directional antenna is used to limit the WiFi probe to only collect the MAC addresses of the WiFi devices held by all passengers in the bus; The trigger sensor is connected in communication with the WiFi probe, and is used to trigger whether the WiFi probe stops or allows to collect the MAC address, and simultaneously collects the position and location of the bus at each site by the trigger sensor time stamp; The CPU is configured to generate passenger data information of the bus at each site based on the bus's position at each site, time stamp and the corresponding MAC address; The data transmission unit is used to send the passenger data information of the bus at each station to the server; The server is configured to analyze the passenger data information of the bus at each station to obtain the travel trajectory of each passenger and the OD matrix between all bus stations.