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CN115909722A - A road resistance scheduling method and system applied to intelligent public transportation - Google Patents

A road resistance scheduling method and system applied to intelligent public transportation Download PDF

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Publication number
CN115909722A
CN115909722A CN202211325458.5A CN202211325458A CN115909722A CN 115909722 A CN115909722 A CN 115909722A CN 202211325458 A CN202211325458 A CN 202211325458A CN 115909722 A CN115909722 A CN 115909722A
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bus
road
vehicle
platform
dispatch
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张利
厉国重
李辉
陈文�
夏祖权
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Dongfeng Yuexiang Technology Co Ltd
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Abstract

The invention provides a road block scheduling method and system applied to an intelligent bus, aiming at a dynamic scheduling scheme when a road congestion situation occurs in the bus running process through a road block scheduling scene, under the situation, a bus scheduling system needs to detect the road congestion in real time based on manual feedback or vehicle-mounted state feedback of line operators and send a road block warning to a scheduling system administrator; the method comprises the following steps that a manager calls a road resistance real-time scheduling interface to redistribute a route for a vehicle related to the route and adjust a traveling plan of a subsequent bus; therefore, the stability of bus operation under abnormal events is ensured.

Description

Road resistance scheduling method and system applied to intelligent bus
Technical Field
The invention relates to the technical field of intelligent bus road block scheduling, in particular to a road block scheduling method and system applied to intelligent buses.
Background
For the vehicle scheduling problem under the condition of traffic road network congestion, in recent years, a series of researches improve the vehicle scheduling problem under the condition of road network congestion by means of advanced planning based on historical traffic data, dynamic adjustment of a running route based on real-time road resistance and the like, so that the operation efficiency of a traffic transport system and the adaptability of the traffic transport system to special conditions are improved.
The intelligent bus dispatching mainly focuses on the aspects of real-time dispatching control strategies, single-mode bus dispatching and the like, researches on road resistance processing methods in a bus running scene are few, road congestion conditions are mostly avoided through historical data analysis, and a road resistance corresponding scheme for sudden congestion situations is lacked; in addition, from the actual bus operation scene, unpredictable road resistance conditions are difficult to avoid, so that how to determine the operation form, departure interval and vehicle configuration of the buses under the urban traffic jam condition so as to formulate an emergency allocation strategy under the road resistance condition has important practical significance for relieving various problems of urban traffic and improving the travel quality of urban residents, and is also one of key technologies to be solved urgently by the intelligent bus scheduling system.
Therefore, it is urgently needed to provide a road block scheduling method and system applied to intelligent buses for the problem of bus dynamic scheduling under the condition of road block, starting from a dynamic adjustment mode of a bus running route aiming at the defects of the current intelligent bus road block scheduling scheme.
Disclosure of Invention
In view of this, the invention provides a road resistance scheduling method and system applied to an intelligent bus, and solves the problem that in the prior art, a road resistance coping scheme is lacked for a sudden congestion situation encountered on a road.
The technical scheme of the invention is realized as follows:
as a first aspect, the present invention provides a road resistance scheduling method applied to an intelligent bus, including the following steps:
step S1: acquiring position information and operation state information of a bus in real time, and uploading the acquired information to a cloud scheduling platform in real time;
step S2: the cloud scheduling platform judges the road resistance and the abnormal conditions of train crossing and the abnormal conditions of large intervals caused by the road resistance in real time through a road resistance and scheduling algorithm according to the position information and the operation state information of the bus;
and step S3: an operator confirms the current states of the road resistance and the traffic cluster and the large interval caused by the road resistance according to the abnormal conditions of the road resistance and the traffic cluster and the large interval caused by the road resistance, and the current state, the route and the station to be arrived at, makes a manual scheduling scheme, and sends a scheduling instruction through a cloud scheduling platform;
and step S4: dispatching personnel dispatch standby vehicles from a bus station according to a dispatching instruction, and dispatch the number of vehicles to the station according to the station, so that the average waiting time of passengers is reduced;
step S5: after vehicle scheduling is finished, the cloud scheduling platform collects the position of a road block according to the position information and the operation state information of the bus, determines the starting point and the ending point of a road block section, positions the operation line with the road block according to the road block section, and calculates whether the distance from a vehicle j to be driven to the block section on the line to the starting point of the block section reaches a threshold value or not;
step S6: transmitting the driving plan data of the scheduled vehicle to a cloud scheduling platform, and regenerating a bus operation driving plan;
step S7: and the cloud scheduling platform informs the passengers of the number of coming-to-stop cars and the waiting time through the passenger applet according to the newly generated bus operation driving plan.
On the basis of the above technical solution, preferably, in step S2, the way of determining the abnormal traffic jam and the abnormal large-interval condition caused by the road resistance is as follows: the method comprises the steps that people on a vehicle pay attention to the condition of a running road in real time, and if the running road in front of the vehicle is blocked, the position of the blocked road section is reported through an operation APP.
On the basis of the above technical solution, preferably, in step S2, the way of determining the abnormal traffic jam and the abnormal large-interval condition caused by the road resistance is as follows: estimating the displacement and the average speed of the vehicle within a period of time delta t through position information uploaded by a vehicle end of the vehicle running on the road in real time;
function for determining displacement amount of vehicle:
L_Δt≤τ,
average speed of vehicle judgment function:
V_Δt≤σ,
wherein L _ delta t is the displacement of the vehicle within delta t time, tau is the minimum value of the displacement of the vehicle, V _ delta t is the running speed of the vehicle within delta t time, and sigma is the minimum value of the average speed of the vehicle; and judging the blocking condition of the road where the vehicle is located according to the displacement and the average speed of the vehicle.
On the basis of the above technical solution, preferably, in step S5, a distance function of the number j of vehicles on the route from the starting point of the congested road segment is as follows:
the function is:
Figure BDA0003911881770000031
wherein,
Figure BDA0003911881770000032
for the driving position of a vehicle j on a line t>
Figure BDA0003911881770000033
For the starting point of the blocked section of the line t, L max Is a distance threshold.
As a second aspect, the present invention provides a road block dispatching system applied to an intelligent bus, comprising a bus-mounted system, a mobile service system, a platform system and a station system, which are respectively connected with a cloud dispatching platform in a wireless communication manner, and performing any one of the above methods, wherein,
the bus-mounted system is used for acquiring the position information and the operation state information of the bus in real time, uploading the acquired information to the cloud scheduling platform through the vehicle-mounted mobile communication terminal, or executing a command issued by the cloud scheduling platform;
the mobile service system is used for customizing the bus trip information service capability according to the position information and the operation state information of the bus;
the platform system is used for monitoring platform passenger flow and platform information query, and pre-broadcasting the arrival of the bus according to the position information and the operation state information of the bus;
the station system consists of a bus parking lot and a bus command center large screen and is used for video monitoring equipment and inter-station networking equipment.
On the basis of the technical scheme, preferably, the public transport vehicle is an automatic driving vehicle with the L3 level and above.
On the basis of the technical scheme, preferably, the mobile service system is composed of a passenger APP/applet and an operator APP, and customized bus trip information service capacity is realized and comprises passenger end service, operator end service, operation settlement monitoring analysis, attendance rate and station passenger flow.
On the basis of the above technical solution, preferably, the platform system includes an electronic station board and a video monitoring device, and the platform information query includes a line query, a site query, a shift query and a transfer query.
As a third aspect, the present invention provides a computer readable storage medium storing one or more programs, the computer readable storage medium storing one or more program instructions, which when executed by a processor, perform any of the methods described above.
As a fourth aspect, the present invention provides a computer, including a central processing unit, a computer-readable memory, and a data bus, where the central processing unit and the computer-readable memory are connected by the data bus, and the central processing unit executes any one of the above methods according to an operation instruction stored in the computer-readable memory.
Compared with the prior art, the invention has the following beneficial effects:
aiming at a dynamic scheduling scheme when a road congestion situation occurs in the running process of a bus through a road congestion scheduling scene, in the situation, a bus scheduling system needs to detect the road congestion in real time based on manual feedback or vehicle-mounted state feedback of line operators and send a road congestion warning to a scheduling system administrator; the method comprises the following steps that a manager calls a road resistance real-time scheduling interface to redistribute a route for a vehicle related to the route and adjust a traveling plan of a subsequent bus; therefore, the stability of bus operation under abnormal events is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flow chart of a road resistance scheduling method applied to an intelligent bus in the invention;
FIG. 2 is a block diagram of a road resistance detection and scheduling algorithm according to the present invention;
FIG. 3 is a diagram illustrating data flow for road block scheduling according to the present invention;
fig. 4 is a structural diagram of a road block dispatching system applied to an intelligent bus in the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1-4, the embodiment of the invention discloses a road block scheduling method applied to an intelligent bus, comprising the following steps:
step S1: acquiring position information and operation state information of a bus in real time, and uploading the acquired information to a cloud scheduling platform in real time;
step S2: the cloud scheduling platform judges the road resistance and the abnormal conditions of train crossing and the abnormal conditions of large intervals caused by the road resistance in real time through a road resistance and scheduling algorithm according to the position information and the operation state information of the bus;
and step S3: an operator confirms the current states of the road resistance and the traffic cluster and the large interval caused by the road resistance according to the abnormal conditions of the road resistance and the traffic cluster and the large interval caused by the road resistance, and the current state, the route and the station to be arrived at, makes a manual scheduling scheme, and sends a scheduling instruction through a cloud scheduling platform;
and step S4: dispatching personnel dispatch standby vehicles from a bus station according to a dispatching instruction, and dispatch the number of vehicles to the station according to the station, so that the average waiting time of passengers is reduced;
step S5: after vehicle scheduling is finished, the cloud scheduling platform collects the position of the road block according to the position information and the operation state information of the bus, determines the starting point and the ending point of the road block section, positions the operation line with the road block according to the road block section, and calculates the vehicle which is going to drive to the block section on the line;
step S6: transmitting the driving plan data of the scheduled vehicle to a cloud scheduling platform, and regenerating a bus operation driving plan;
step S7: and the cloud scheduling platform informs the passengers of the number of coming-to-stop cars and the waiting time through the passenger applet according to the newly generated bus operation driving plan.
Specifically, the road block refers to a road block point on the operation running route of the bus; the train crossing means that the distance between two or more vehicles is too close in the running process of the bus operation; the large interval means that the time for a passenger to wait for the arrival of the bus is longer than the planned time in the driving schedule in the bus operation driving process; the number of the vehicles is the route of the vehicles, wherein the route comprises an uplink and a downlink, and the number of the vehicles is one trip from a starting station to a terminal station; the round trip is two times, which can be called as the time in the industry; the station is a station in a bus operation mode, and the coverage rate of the station within 500 meters is more than 90%.
The road congestion scheduling scene aims at a dynamic scheduling scheme when a road congestion situation occurs in the bus running process, in this case, a bus scheduling system needs to detect the road congestion in real time based on manual feedback or vehicle-mounted state feedback of line operators and send a road congestion warning to a scheduling system administrator; and the administrator performs route redistribution and trip plan adjustment of subsequent buses for the vehicle related to the route by calling the road resistance real-time scheduling interface.
Aiming at the influence of weather, road traffic environment and emergencies in the actual bus operation, the operation shift of the bus can not arrive and depart according to the requirements of a driving schedule; when the line vehicle can not run according to the static schedule, the operation cost of the public transport operation system is increased and the waiting time of passengers is prolonged; therefore, the system can detect special conditions such as road resistance, traffic congestion and passenger flow abnormity in real time, carry out emergency scheduling when an event occurs, and reallocate system resources, thereby ensuring the stability of bus operation under the abnormal event.
Preferably, in step S2, the way of determining the abnormal traffic crossing and the abnormal large-interval condition caused by the road resistance is as follows: the method comprises the steps that people on a vehicle pay attention to the condition of a running road in real time, and if the running road in front of the vehicle is blocked, the position of the blocked road section is reported through an operation APP.
Preferably, in step S2, the way of determining the abnormal traffic crossing and the abnormal large-interval condition caused by the road resistance is as follows: estimating the displacement and the average speed of the vehicle within a period of time delta t through position information uploaded by a vehicle end of the vehicle running on the road in real time;
function for determining displacement amount of vehicle:
L_Δt≤τ,
average speed of vehicle determination function:
V_Δt≤σ,
wherein L _ delta t is the displacement of the vehicle within delta t time, tau is the minimum value of the displacement of the vehicle, V _ delta t is the running speed of the vehicle within delta t time, and sigma is the minimum value of the average speed of the vehicle; and judging the blocking condition of the road where the vehicle is located according to the displacement and the average speed of the vehicle.
Specifically, if the displacement and the average speed of the vehicle are smaller than a certain threshold value, and the vehicle does not have special problems such as waiting for passengers to get on or off the vehicle at a platform and vehicle operation faults in delta t, it is determined that the road in front of the vehicle is blocked, and the blocked position is positioned as the current driving road of the vehicle.
Preferably, in step S5, the distance function of the j number of vehicles on the route from the starting point of the congested road segment is:
Figure BDA0003911881770000071
wherein,
Figure BDA0003911881770000072
for the driving position of a vehicle j on a line t>
Figure BDA0003911881770000073
For the starting point of the blocked section of the line t, L max Is a distance threshold.
Specifically, if the vehicles on the line meet the conditions, the dispatching system sends a jam early warning to the vehicle and informs the position of a jammed road section, and the personnel on the vehicle avoid the jammed road section according to a vehicle-mounted high-precision map of the automatic driving vehicle and plan the driving path of the vehicle again.
The embodiment of the invention also discloses a road resistance dispatching system applied to the intelligent bus, which comprises a bus-mounted system, a mobile service system, a platform system and a station system which are respectively in wireless communication connection with the cloud dispatching platform, and executes any one of the methods,
the bus-mounted system is used for acquiring the position information and the operation state information of the bus in real time, uploading the acquired information to the cloud scheduling platform through the vehicle-mounted mobile communication terminal, or executing a command issued by the cloud scheduling platform;
the mobile service system is used for customizing the bus trip information service capability according to the position information and the operation state information of the bus;
the platform system is used for monitoring platform passenger flow and platform information query, and pre-broadcasting the arrival of the bus according to the position information and the operation state information of the bus;
the station system consists of a bus parking lot and a bus command center large screen and is used for video monitoring equipment and inter-station networking equipment.
Specifically, the bus-mounted system, the mobile service system, the platform system and the station system are in wireless communication connection with a cloud scheduling platform through a 4G or 5G mobile communication network respectively, and the cloud scheduling platform realizes rationalization of vehicle driving plan and schedule formulation and automation of machine algorithm and operates according to a vehicle operation plan; the real-time process monitoring of the vehicle operation is realized; performing holographic sensing and multi-source fusion on basic data of buses, lines, stations, operators and the like and dynamic data of GPS (global positioning system), scheduling, balance and the like; based on a visual means, driving a bus monitoring, diagnosing, optimizing and evaluating business governing closed loop, constructing a bus data brain center, and displaying a series of bus business data on a visual large screen.
The bus-mounted system comprises a vehicle-mounted mobile communication terminal, a camera, passenger flow information acquisition equipment and the like. The system realizes the real-time collection of vehicle position information and operation state information, comprehensively monitors the running state of the vehicle and counts the number of passengers getting on or off the vehicle in real time; and vehicle operation data acquisition is provided for the cloud scheduling platform, and the instruction issued by the cloud scheduling platform is executed.
The station system mainly comprises a bus parking lot and a bus command center large screen; the bus parking lot mainly comprises video monitoring equipment and inter-site networking equipment; the command center large screen is divided into an LED display system, an image and audio processing system, a transmission control system and the like; and executing the instruction issued by the cloud scheduling platform, and displaying the operation condition monitoring, counting and analyzing results of the bus through a large screen of the command center.
Preferably, the public transport vehicle is an automatic driving vehicle with the L3 level and above.
Preferably, the mobile service system is composed of a passenger APP/applet and an operator APP, and customized bus trip information service capacity is realized, wherein the customized bus trip information service capacity comprises passenger end service, operator end service, operation settlement monitoring analysis, attendance rate and station passenger flow.
Preferably, the platform system comprises an electronic station board and a video monitoring device, and the platform information query comprises a line query, a station query, a shift query and a transfer query.
Specifically, the platform system mainly achieves a bus information inquiry function such as a station passenger flow volume counting function, a platform monitoring function, a line, a station, a shift and transfer function, a station arrival pre-broadcasting function, multimedia voice, platform monitoring and a series of services, and executes an instruction issued by the cloud scheduling platform.
The embodiment of the invention also discloses a computer readable storage medium storing one or more programs, wherein the computer readable storage medium stores one or more program instructions, and the program instructions are executed by a processor to implement any one of the methods.
The embodiment of the invention also discloses a computer, which comprises a central processing unit, a computer readable memory and a data bus, wherein the central processing unit is in data connection with the computer readable memory through the data bus, and the central processing unit executes any one of the methods according to the operating instructions stored in the computer readable memory.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1.一种应用于智能公交的路阻调度方法,其特征在于,包括如下步骤:1. A road obstruction scheduling method applied to intelligent public transportation, characterized by comprising the following steps: 步骤S1:实时获取公交的位置信息及运营状态信息,并实时将所获取的信息上传至云调度平台;Step S1: Obtain the location and operational status information of the bus in real time, and upload the obtained information to the cloud dispatch platform in real time; 步骤S2:云调度平台根据公交的位置信息及运营状态信息,通过路阻及调度算法,实时判断路阻及所引起的串车异常情况和大间隔异常情况;Step S2: Based on the location and operational status information of the buses, the cloud dispatch platform uses road obstruction and dispatch algorithms to determine in real time the road obstruction and the resulting abnormal situations of multiple buses running together and large intervals. 步骤S3:运营人员根据路阻及引起的串车和大间隔的异常情况,确认路阻及引起的串车和大间隔的当前状态,以及所在路线与即将到达的站点,制定人工调度方案,并通过云调度平台下发调度指令;Step S3: Based on the road obstruction and the resulting train back-to-back and large intervals, the operations personnel confirm the current status of the road obstruction and the resulting train back-to-back and large intervals, as well as the current route and the station to be reached, formulate a manual dispatch plan, and issue dispatch instructions through the cloud dispatch platform. 步骤S4:调度人员根据调度指令,从公交场站调度备用车辆,按场站对站点调度车次,减少乘客平均等待时间;Step S4: Dispatchers dispatch standby vehicles from the bus depot according to dispatch instructions, and dispatch bus services to stations according to depots to reduce the average waiting time for passengers; 步骤S5:在完成车辆调度后,云调度平台根据公交的位置信息及运营状态信息,收集路阻出现的位置,确定路阻路段的起始点和终止点,依据路阻路段定位出现路阻的运营线路,并计算出线路上即将行驶至阻塞路段的车辆j距离阻塞路段起始点的距离是否达到阈值;Step S5: After completing vehicle dispatch, the cloud dispatch platform collects the location of the road blockage based on the bus location information and operation status information, determines the start and end points of the road blockage section, locates the operating line where the road blockage occurs based on the road blockage section, and calculates whether the distance between the vehicle j that is about to travel to the blockage section and the start point of the blockage section reaches the threshold. 步骤S6:将调度车辆的行车计划数据传输至云调度平台,重新生成公交运营行车计划;Step S6: Transmit the driving plan data of the dispatched vehicles to the cloud dispatch platform to regenerate the bus operation driving plan; 步骤S7:云调度平台根据新生成公交运营行车计划,通过乘客小程序,通知乘客即将到站的车次与等待时间。Step S7: Based on the newly generated bus operation plan, the cloud dispatch platform notifies passengers of the upcoming bus number and waiting time via a passenger mini-program. 2.如权利要求1所述的一种应用于智能公交的路阻调度方法,其特征在于,在步骤S2中,路阻及所引起的串车异常情况和大间隔异常情况的判断方式为:通过车上的人员实时关注行驶道路情况,若车辆前方行驶道路出现阻塞,则通过运营APP上报阻塞路段位置。2. The road obstruction scheduling method for intelligent buses as described in claim 1, characterized in that, in step S2, the method for judging road obstruction and the resulting abnormal situations of multiple vehicles passing each other and large intervals is as follows: the personnel on the bus monitor the road conditions in real time, and if the road ahead of the vehicle is blocked, the location of the blocked section is reported through the operation APP. 3.如权利要求1所述的一种应用于智能公交的路阻调度方法,其特征在于,在步骤S2中,路阻及所引起的串车异常情况和大间隔异常情况的判断方式为:通过在路上运营的车辆的车端实时上传的位置信息,估算在一段时间Δt内车辆的位移量和平均速度;3. The road obstruction scheduling method for intelligent buses as described in claim 1, characterized in that, in step S2, the method for judging road obstruction and the resulting abnormal situations of multiple vehicles passing each other and large intervals is: by estimating the displacement and average speed of the vehicle within a time period Δt by using the location information uploaded in real time by the vehicle terminal of the vehicle operating on the road. 车辆的位移量判断函数:Vehicle displacement determination function: L_Δt≤τ,L_Δt≤τ, 车辆的平均速度判断函数:Function for determining the average speed of a vehicle: V_Δt≤σ,V_Δt≤σ, 其中,L_Δt为Δt时间内车辆的位移量,τ为车辆位移最小值,V_Δt为Δt时间内车辆的行驶速度,σ为车辆平均速度最小值;通过车辆的位移量和平均速度判断车辆所在道路的阻塞情况。Where L_Δt is the vehicle's displacement within time Δt, τ is the minimum vehicle displacement, V_Δt is the vehicle's speed within time Δt, and σ is the minimum average vehicle speed; the vehicle's displacement and average speed are used to determine the traffic congestion on the road where the vehicle is located. 4.如权利要求1所述的一种应用于智能公交的路阻调度方法,其特征在于,在步骤S5中,线路上车辆j数距离阻塞路段起始点的距离函数为:4. The road obstruction scheduling method applied to intelligent public transportation as described in claim 1, characterized in that, in step S5, the distance function between the number of vehicles j on the route and the starting point of the obstructed road segment is:
Figure FDA0003911881760000021
Figure FDA0003911881760000021
其中,
Figure FDA0003911881760000022
为在线路t上车辆j的行驶位置,
Figure FDA0003911881760000023
为线路t的阻塞路段起始点,阻塞路段起始点的距离,Lmax为距离阈值。
in,
Figure FDA0003911881760000022
Let J be the position of vehicle J on line t.
Figure FDA0003911881760000023
Let L be the starting point of the blocked section of line t, L be the distance from the starting point of the blocked section, and Lmax be the distance threshold.
5.一种应用于智能公交的路阻调度系统,其特征在于,包括分别与云调度平台无线通信连接的公交车载系统、移动服务系统、站台系统和场站系统,执行权利要求1-4任意一项所述的方法,其中,5. A road obstruction dispatching system for intelligent public transportation, characterized in that it comprises a bus-mounted system, a mobile service system, a platform system, and a depot system, all wirelessly connected to a cloud dispatching platform, and executes the method described in any one of claims 1-4, wherein... 公交车载系统,用于实时采集公交车辆的位置信息和运营状态信息,并通过车载移动通信终端将所采集到的信息上传至云调度平台,或执行云调度平台下发的指令;The bus-mounted system is used to collect real-time location and operational status information of buses and upload the collected information to the cloud dispatch platform through the onboard mobile communication terminal, or execute instructions issued by the cloud dispatch platform. 移动服务系统,用于根据公交车辆的位置信息和运营状态信息,实现定制公交出行信息服务能力;The mobile service system is used to provide customized public transportation travel information services based on the location and operational status information of public transportation vehicles. 站台系统,用于监控站台客流量和站台信息查询,以及根据公交车辆的位置信息和运营状态信息,进行车辆到站预播报;The platform system is used to monitor passenger flow and query platform information, as well as to provide pre-announcement of bus arrivals based on the location and operational status of buses. 场站系统,由公交停车场及公交指挥中心大屏组成,用于视频监控设备及场间组网设备。The station system consists of a bus parking lot and a large screen in the bus command center, which is used for video surveillance equipment and inter-station networking equipment. 6.如权利要求5所述的一种应用于智能公交的路阻调度系统,其特征在于,所述公交车辆为L3级及以上的自动驾驶车辆。6. The road obstruction dispatching system for intelligent buses as described in claim 5, wherein the buses are Level 3 or higher autonomous driving vehicles. 7.如权利要求5所述的一种应用于智能公交的路阻调度系统,其特征在于,所述移动服务系统由乘客APP/小程序、运营人员APP组成,实现定制的公交出行信息服务能力,包括乘客端服务、运营人员端服务、运营结算监测分析、上座率和站点客流量。7. The road obstruction dispatching system for intelligent buses as described in claim 5, characterized in that the mobile service system consists of a passenger APP/mini-program and an operator APP, realizing customized public transportation travel information service capabilities, including passenger-side services, operator-side services, operation settlement monitoring and analysis, occupancy rate and station passenger flow. 8.如权利要求5所述的一种应用于智能公交的路阻调度系统,其特征在于,所述站台系统包括电子站牌和视屏监控设备,所述站台信息查询包括线路查询、站点查询、班次查询和换乘查询。8. A road obstruction dispatching system for intelligent public transportation as described in claim 5, characterized in that the platform system includes electronic bus stop signs and video monitoring equipment, and the platform information query includes route query, station query, bus schedule query and transfer query. 9.一种存储一个或多个程序的计算机可读存储介质,其特征在于,所述计算机可读存储介质存储有一个或多个程序指令,所述程序指令被处理器执行时,完成权利要求1至4中的任意一项方法。9. A computer-readable storage medium storing one or more programs, characterized in that the computer-readable storage medium stores one or more program instructions, which, when executed by a processor, perform the method of any one of claims 1 to 4. 10.一种计算机,所述计算机包括中央处理器、计算机可读存储器、数据总线,其特征在于,所述中央处理器同所述计算机可读存储器通过数据总线进行数据连接,所述中央处理器根据计算机可读存储器存储的操作指令执行权利要求1至4中的任意一项方法。10. A computer comprising a central processing unit, a computer-readable storage device, and a data bus, characterized in that the central processing unit is connected to the computer-readable storage device via the data bus, and the central processing unit executes any one of the methods of claims 1 to 4 according to operation instructions stored in the computer-readable storage device.
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