CN107067730B - Network appointment vehicle-man-vehicle inconsistency monitoring method based on bayonet equipment - Google Patents
Network appointment vehicle-man-vehicle inconsistency monitoring method based on bayonet equipment Download PDFInfo
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Abstract
The invention provides a network taxi appointment people-vehicle inconsistency monitoring method based on a gate device, which comprises the steps of dividing detection areas for various gate devices, and comparing and analyzing vehicle positioning data and gate device data in the device detection areas to realize vehicle monitoring; the monitoring method for the inconsistency of the networked car reservation people and the vehicles based on the bayonet device relies on mass detection data and vehicle positioning data of the intelligent bayonet device, data are fully mined and analyzed, meanwhile, consistency between two data is considered to be compared and analyzed, monitoring equipment is not required to be additionally installed, actual running vehicles and registered vehicle license plates are effectively monitored in the inconsistency, and safety of passengers in the networked car reservation traveling is guaranteed.
Description
Technical Field
The invention relates to a network taxi appointment people-taxi inconsistency monitoring method based on bayonet equipment.
Background
With the continuous development of internet technology, a network is utilized to provide a plurality of things which can be completed without leaving a house, so that a network reservation taxi (hereinafter referred to as a network reservation taxi) which can be reserved in advance to smoothly get on the bus to complete traveling is taken into account. The appearance of "net car of making an appointment" provides the taxi mode of going out that convenient can reserve for the city resident, has effectively satisfied some taxi trip passenger's trip demand, can apply for because of the private car simultaneously and become net car of making an appointment car owner, has improved the motor vehicle utilization efficiency to a certain extent.
However, social problems, legal conflicts and supervision problems caused by online car booking are not ignored, severe information asymmetry exists among service and transaction parties, many 'online car booking' drivers in the current market rent other people to operate after passing through a platform, and then the situation that the actually operated vehicles are inconsistent with the vehicles registered by a car booking system occurs, even drivers of the actually operated vehicles are not drivers registered in the system in real names, and common passengers go out for time or get on the vehicles due to carelessness. Under the condition of the inconsistent pedestrian and vehicle violation, a driver may not be examined, passengers are seriously threatened to go out, and the traffic accident rate is increased. In order to strengthen the supervision of network car booking, the network car booking management rules are issued by various cities, strict regulations are made on the aspects of driver qualification, vehicle performance and the like, and a basis is provided for the source supervision of the network car booking. The dynamic supervision of the reinforced network car booking operation process puts higher requirements on transportation management departments.
After retrieval: the invention discloses a network appointment safety monitoring system, which is characterized in that the China patent application numbers are CN 201610504952 and 6, and the network appointment safety monitoring system comprises an image recording module, an image change judging module, a safety monitoring alarm module, a central control module and a wireless transmitting module; a network appointment vehicle safety monitoring scheme is used for carrying out image detection on the passenger carrying condition of the network appointment vehicle. The invention discloses an intelligent supervisor for comprehensive information management of taxis, which integrates various necessary functions, controls the passenger carrying state of a vehicle through personnel fingerprint identification and supervises the taxis, and is applied to the integrated information management of the taxis, and the intelligent supervisor is applied to the integrated information management of the taxis.
Above-mentioned patent application file carries out safety supervision to net car of appointment or the inconsistent condition of taxi people car, mainly is that the driver passenger condition of taking a candid photograph in real time through the surveillance camera head of installation carries out image comparison analysis supervision or carries out fingerprint identification supervision through installing intelligent supervisor, but in the face of the present net car of appointment 85% the vehicle is the condition of private car, and it is big to install surveillance camera head or other supervisory equipment degree of difficulty on all vehicles, and is with high costs. Along with the construction of intelligent transportation and the development of large transportation data, the coverage rate of front-end intelligent card port equipment is high, the vehicle passing condition can be analyzed based on massive card port detection data, and effective supervision means can be provided for supervision departments through comparison and analysis of vehicle positioning data and multi-source data of card port vehicle passing data.
Disclosure of Invention
The invention aims to provide a network car-booking people-vehicle inconsistency monitoring method based on a bayonet device, which is characterized in that vehicle data are collected in real time and subjected to data mining by means of an intelligent bayonet device, the data are further compared and analyzed with network car-booking system data, the inconsistency between actually-operated vehicles and account number registered vehicles is effectively supervised, the violation of network car-booking people-vehicle inconsistency is early-warned and checked in time, safety travel guarantee is provided for passengers, and the overall supervision level of a network car-booking system is improved.
The technical solution of the invention is as follows:
the utility model provides a network car appointment people car nonconformity monitoring method based on bayonet socket equipment, divides detection area to each bayonet socket equipment, realizes vehicle monitoring according to equipment detection area's vehicle positioning data and bayonet socket equipment data comparison analysis, and concrete step is:
s1, extracting all positioning data of the vehicle in the running process in the equipment detection area and detection data of the gate equipment in a time period T when the vehicle runs through the gate equipment according to the running track of the network car booking system;
s2, comparing and analyzing the extracted high-definition bayonet device snapshot image with driver information registered by a network car reservation system, if the driver is inconsistent, automatically early warning if the violation condition of human-car inconsistency exists, and otherwise, turning to the next step;
s3, comparing the vehicle number plate data of the gate equipment data with the vehicle number plate data of the order information of the network car booking system, namely searching whether consistent vehicle number plate numbers exist in the gate equipment data in the time period T, and if yes, determining that the vehicle normally runs and returning to the step S1; otherwise, the vehicle number plate data detected by the gate equipment is inconsistent with the vehicle number plate data of the order form of the network car booking system, and the suspected illegal vehicle is marked, and then the step S1 is returned; analyzing the next device according to the vehicle running track until the trip is completed;
and S4, integrating and counting the violation times of vehicles marked with suspected violation, if the violation times exceed the marking threshold, determining that the vehicles are under the condition of inconsistent human and vehicles and automatically giving an alarm, otherwise, determining that the vehicles are normally running.
Further, in step S1, when the first gate device that the vehicle has driven through starts to perform data extraction and analysis, all the positioning data are obtained when the time period T is according to the time-series integrated vehicle detection area.
Further, in step S4, specifically,
s41, tracking the vehicles marked with suspected violation, if the threshold value of the number of continuous suspected judgments is reached, considering that the vehicles about the network have the violation condition of inconsistency of people and vehicles, carrying out automatic early warning, otherwise, considering that the abnormal condition of the detection of the checkpoint equipment or the abnormal positioning function of the mobile phone exists, and turning to the next step;
and S42, integrating the suspected violation judgment times of the trip, if the suspected violation judgment times exceed a suspected violation total threshold, considering that the network appointment vehicle has a violation condition of human-vehicle inconsistency, and performing automatic early warning, otherwise, considering that the vehicle is a normally-running vehicle.
Further, carry out automatic early warning, specifically be: the system provides automatic early warning information for traffic supervisors and network car booking system managers, comprises order numbers, network car booking information and real-time vehicle position information, and provides data support for network car booking accounts and vehicle drivers to check.
The invention has the beneficial effects that:
according to the method for monitoring the inconsistency of the network car reservation people and the vehicles based on the bayonet device, the data are fully mined and analyzed by relying on mass detection data of the intelligent bayonet device and GPS data of a mobile phone terminal positioning function, meanwhile, the consistency between the two data is considered for comparison and analysis, no monitoring device is required to be additionally installed, the inconsistency between an actually-operated vehicle and a registered vehicle number plate is effectively monitored, and the safety of passengers in the network car reservation trip is guaranteed;
the monitoring method not only monitors the inconsistent condition of the vehicle number plate, but also can monitor the inconsistent condition of the driver according to the existing high-definition bayonet equipment, effectively strengthens the supervision range and improves the network appointment supervision efficiency;
the monitoring method analyzes the vehicle running track in real time, extracts, compares and analyzes the vehicle in time when the vehicle runs through the bayonet device, tracks and detects suspicious vehicles, monitors violation phenomena in real time and can check and treat the violation phenomena in time, improves the monitoring efficiency and standardizes the network appointment operation industry.
Drawings
Fig. 1 is a schematic flow chart of a network appointment vehicle-human-vehicle inconsistency monitoring method based on a bayonet device in an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The method comprises the steps of comparing positioning data of a system platform with a vehicle passing record of a bayonet device in real time, tracking and detecting vehicles with inconsistent vehicle numbers, timely checking illegal vehicle reservation of vehicles with different numbers, effectively supervising the disordered condition of the inconsistency of vehicles with the vehicle reservation of the network, improving the supervision efficiency and guaranteeing the travel safety of passengers.
Examples
The utility model provides a network car reservation people car inconsistent monitoring method based on bayonet socket equipment, divides detection area to each bayonet socket equipment, realizes vehicle monitoring according to the data comparison analysis of equipment detection area's locating data and bayonet socket equipment data, and concrete step is:
s1, according to the running track of the network car booking system, when the vehicle runs through a gate device i, i is 1,2, …, n, all positioning data including point location and time when the vehicle runs in a device detection area are extracted, and data are integrated according to a time sequence to obtain a detection time range T; extracting detection data of the gate equipment i in a T time period, namely vehicle passing information automatically captured by the equipment, wherein the vehicle passing information comprises captured pictures, detection time, vehicle number plates, lane numbers and the like;
s2, comparing and analyzing the extracted high-definition bayonet device snapshot image with driver information registered by a 'net appointment' system, if the drivers are consistent, considering that the vehicle normally operates, and turning to the next step; otherwise, the vehicle is considered to have the violation condition of human-vehicle inconsistency, and automatic early warning is carried out;
s3, comparing the vehicle number plate data of the gate equipment data with the vehicle number plate data of the network car reservation system order information, namely searching whether a consistent number plate number exists in the gate equipment data in a time range T, if so, determining that the vehicle normally runs, returning to S1, analyzing i +1 equipment driven by the vehicle according to a vehicle driving track until the trip is completed, otherwise, determining that the vehicle number plate data detected by the gate equipment is inconsistent with the vehicle number plate data of the network car reservation system order, marking a suspected violation vehicle, returning to S1, analyzing the i +1 equipment according to the vehicle driving track until the trip is completed;
and S4, integrating and counting the violation times of vehicles marked with suspected violation, if the violation times exceed the marking threshold, determining that the vehicles are under the condition of inconsistent human and vehicles and automatically giving an alarm, otherwise, determining that the vehicles are normally running.
S41, tracking the vehicles marked with suspected violation, if the threshold value of the number of continuous suspected judgments is reached, considering that the vehicles about the network have the violation condition of inconsistency of people and vehicles, carrying out automatic early warning, otherwise, considering that the abnormal condition of the detection of the checkpoint equipment or the abnormal positioning function of the mobile phone exists, and turning to the next step; wherein the number threshold is continuously and sequentially determined for 2 times in general;
and S42, integrating the suspected violation judgment times of the trip, if the suspected violation judgment times exceed a suspected violation total threshold, considering that the network appointment vehicle has a violation condition of human-vehicle inconsistency, and performing automatic early warning, otherwise, considering that the vehicle is a normally-running vehicle. The general threshold value of the total number of the violations is determined according to the total number of the bayonet devices passing through the whole travel process.
Aiming at illegal vehicles with inconsistent people and vehicles, the method provides automatic early warning information for traffic supervisors and network car booking system managers, wherein the automatic early warning information comprises order numbers, network car booking information and vehicle real-time position information, and provides data support for network car booking account numbers and vehicle drivers to check and deal with.
Claims (3)
1. A network taxi appointment people-taxi inconsistency monitoring method based on bayonet equipment is characterized by comprising the following steps: dividing detection areas for each bayonet device, comparing and analyzing vehicle positioning data and bayonet device data according to the detection areas of the devices to realize vehicle monitoring, and specifically comprising the following steps:
s1, according to the running track of the network car booking system, when the vehicle runs through the gate device, extracting all positioning data of the vehicle running in the device detection area and detection data of the gate device in a time period T, wherein the time period T is obtained according to all the positioning data of the vehicle running in the time sequence integrated vehicle detection area;
s2, comparing and analyzing the extracted high-definition bayonet device snapshot image with driver information registered by a network car reservation system, if the driver is inconsistent, automatically early warning if the violation condition of human-car inconsistency exists, and otherwise, turning to the next step;
s3, comparing the vehicle number plate data of the gate equipment data with the vehicle number plate data of the order information of the network car booking system, namely searching whether consistent vehicle number plate numbers exist in the gate equipment data in the time period T, and if yes, determining that the vehicle normally runs and returning to the step S1; otherwise, the vehicle number plate data detected by the gate equipment is inconsistent with the vehicle number plate data of the order form of the network car booking system, and the suspected illegal vehicle is marked, and then the step S1 is returned; analyzing the next device according to the vehicle running track until the trip is completed;
and S4, integrating and counting the violation times of vehicles marked with suspected violation, if the violation times exceed the marking threshold, determining that the vehicles are under the condition of inconsistent human and vehicles and automatically giving an alarm, otherwise, determining that the vehicles are normally running.
2. The vehicle-ordering people and vehicle inconsistency monitoring method based on the bayonet device network as claimed in claim 1, wherein: in step S4, specifically, the step,
s41, tracking the vehicles marked with suspected violation, if the threshold value of the number of continuous suspected judgments is reached, considering that the vehicles about the network have the violation condition of inconsistency of people and vehicles, carrying out automatic early warning, otherwise, considering that the abnormal condition of the detection of the checkpoint equipment or the abnormal positioning function of the mobile phone exists, and turning to the next step;
and S42, integrating the suspected violation judgment times of the trip, if the suspected violation judgment times exceed a suspected violation total threshold, considering that the network appointment vehicle has a violation condition of human-vehicle inconsistency, and performing automatic early warning, otherwise, considering that the vehicle is a normally-running vehicle.
3. The vehicle-to-vehicle inconsistency monitoring method for network appointment of vehicles based on a bayonet device according to claim 1 or 2, characterized by performing automatic early warning, specifically: the system provides automatic early warning information for traffic supervisors and network car booking system managers, comprises order numbers, network car booking information and real-time vehicle position information, and provides data support for network car booking accounts and vehicle drivers to check.
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| CN108428346B (en) * | 2018-03-23 | 2021-11-02 | 京东方科技集团股份有限公司 | Method and system for identifying whether service vehicle and registered vehicle are consistent |
| CN108492551A (en) * | 2018-05-17 | 2018-09-04 | 西安艾润物联网技术服务有限责任公司 | Taxi queuing management method, system and computer readable storage medium |
| CN110619256A (en) * | 2018-06-19 | 2019-12-27 | 杭州海康威视数字技术股份有限公司 | Road monitoring detection method and device |
| CN111127126A (en) * | 2018-10-31 | 2020-05-08 | 北京嘀嘀无限科技发展有限公司 | Information feedback method and device and computer readable storage medium |
| CN111354194A (en) * | 2018-12-20 | 2020-06-30 | 中国移动通信集团山东有限公司 | Method and device for vehicle identification on expressway |
| CN110197291A (en) * | 2019-04-09 | 2019-09-03 | 安徽四创电子股份有限公司 | Net based on Beidou about vehicle information exchange and supervisory systems |
| CN111859101B (en) * | 2019-12-31 | 2024-12-10 | 北京嘀嘀无限科技发展有限公司 | Abnormal event detection method, device, electronic device and storage medium |
| CN111402469B (en) * | 2020-03-23 | 2022-05-27 | 武汉无线飞翔科技有限公司 | Vehicle inspection method and system |
| CN111899517B (en) * | 2020-06-24 | 2022-11-04 | 浙江浩腾电子科技股份有限公司 | A method for determining the illegal behavior of highway fatigue driving |
| CN113963398B (en) * | 2021-09-01 | 2025-04-11 | 浙江吉利控股集团有限公司 | Intelligent review method, device, storage medium and terminal for matching person and vehicle |
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| CN100336086C (en) * | 2005-04-30 | 2007-09-05 | 文鹏飞 | Motor vehicle driving information handling method and apparatus |
| US20080055050A1 (en) * | 2006-09-06 | 2008-03-06 | Robert Brown | Mobile file, indentification and security system device |
| CN202939800U (en) * | 2012-11-28 | 2013-05-15 | 福建省视通光电网络有限公司 | Intelligent high-definition toll-gate system |
| CN103473923B (en) * | 2013-09-18 | 2016-04-20 | 林诗昊 | A kind of method of motor vehicle traffic violation real-time notification, confirmation |
| CN104468787A (en) * | 2014-12-09 | 2015-03-25 | 浪潮电子信息产业股份有限公司 | Man-vehicle association identification method based on big data |
| CN106056916A (en) * | 2016-06-23 | 2016-10-26 | 安徽时旭智能科技有限公司 | License plate changing vehicle detection method and system based on intelligent traffic |
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Address after: 211100 No. 19 Suyuan Avenue, Jiangning Economic and Technological Development Zone, Nanjing City, Jiangsu Province Patentee after: JIANGSU ZHITONG TRAFFIC TECHNOLOGY Co.,Ltd. Address before: 210006, Qinhuai District, Jiangsu, Nanjing should be 388 days street, Chenguang 1865 Technology Creative Industry Park E10 building on the third floor Patentee before: JIANGSU ZHITONG TRAFFIC TECHNOLOGY Co.,Ltd. |