CN113177742A - Public transport service method, system, terminal and storage medium based on intelligent transportation - Google Patents
Public transport service method, system, terminal and storage medium based on intelligent transportation Download PDFInfo
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Abstract
The application relates to the technical field of urban public transport, in particular to a public transport service method, a system, a terminal and a storage medium based on intelligent transportation, aiming at solving the defect that the prior art has the problem that the scheduling mode ignores the road condition information of the vehicle, so that the vehicle is difficult to be on time, and the technical scheme is as follows: a public transportation service method based on intelligent transportation comprises the steps of pre-establishing a public transportation geographic information system; obtaining the train number information of all bus routes in a city, and identifying all stops in the bus routes; acquiring real-time traffic data in a city, and estimating the running time between adjacent stations in a bus line; adjusting a scheduling scheme of the vehicle; acquiring a real-time driving state of a vehicle and operation information of vehicle-mounted equipment; the scheduling scheme of the vehicle is updated, and the method and the device have the effects of referring to actual road condition information when the bus is scheduled and improving the rationality of vehicle scheduling.
Description
Technical Field
The application relates to the technical field of urban public transport, in particular to a public transport service method, a public transport service system, a public transport service terminal and a public transport service storage medium based on intelligent transportation.
Background
Urban public transport refers to transportation modes such as buses, rail transit and the like which are operated on fixed lines within an urban range. Public transportation systems are composed of physical elements such as roads, transportation means, and station facilities, and are the main ways in which people appear on a daily basis.
Urban public transport is a social public welfare career meeting the basic travel of people, is an important component of transportation service industry, is closely related to the production and life of people, is inseparable from urban operation and economic development, and is an important civil engineering. The urban public transport system has the advantages that the healthy development of the urban public transport industry is promoted, the stable and orderly operation of urban public transport is guaranteed, and the urban public transport system is vital to the promotion of the sustainable development of the economic society, the improvement of urban living environment, the promotion of urban civilization and the guarantee of the basic travel rights and interests of the masses. With the progress of science and technology, the public transportation service system is also combined with a public advanced technology, so that the public transportation service is greatly improved, and the life of people is greatly facilitated.
At present, a common public traffic service system mainly applies a global positioning technology, a wireless communication technology, a geographic information technology and the like, realizes real-time positioning of a bus through the global positioning technology and the geographic information technology, and then realizes real-time dispatching monitoring operation of the bus through the wireless communication technology.
For the related technologies, the inventor thinks that there is a defect that the scheduling manner in the related technologies only takes the geographic information of the vehicle as the basis for scheduling, but ignores the road condition information where the vehicle is located in the process of running the bus, and causes difficulty in punctuality of the vehicle.
Disclosure of Invention
In order to improve the rationality of vehicle scheduling by referring to actual road condition information when the public transport vehicles are scheduled, the application provides a public transport service method, a system, a terminal and a storage medium based on intelligent transportation.
In a first aspect, the application provides a public transportation service method based on intelligent transportation, which adopts the following technical scheme:
a public transportation service method based on intelligent transportation comprises the following steps:
pre-establishing a public transportation geographic information system, acquiring geographic information related to urban traffic and storing the geographic information into the public transportation geographic information system;
acquiring the train number information of all bus lines in a city, mapping the bus lines into a bus geographic information system according to the driving routes in the train number information, and identifying all stops in the bus lines;
acquiring real-time traffic data in a city, and estimating the running time between adjacent stations in the same bus route in a bus geographic information system based on the real-time traffic data;
adjusting the scheduling scheme of the next vehicle shift in the bus route and sending the scheduling scheme to the corresponding vehicle based on the running time between adjacent stations in the same bus route and the specified shift interval of the bus route;
acquiring a real-time driving state of a vehicle and operation information of vehicle-mounted equipment;
and updating the scheduling scheme of the vehicles on the bus route and transmitting the scheduling scheme to the vehicles in real time based on the real-time running state of the vehicles and the running information of the vehicle-mounted equipment.
By adopting the technical scheme, the geographic information related to public transport in the city is collected in advance, and the public transport geographic information system is suggested, so that the geographic information in the city can be acquired, the public transport vehicles can be conveniently dispatched according to the geographic information, and the dispatching rationality of the public transport vehicles is improved; the stations are identified according to the driving routes of the vehicles, so that the distance between the stations can be intuitively mastered, the reference can be conveniently provided for the dispatching of the public transport vehicles, the real-time traffic data can be referred in the dispatching process, the accuracy of the vehicle dispatching scheme can be improved, and the conformity between the dispatching scheme and the actual traffic condition can be enhanced; the running state of the vehicle and the running information of the vehicle-mounted equipment are detected and collected in real time in the running process of the vehicle, so that the scheduling scheme is favorable for being in line with the running state and the equipment state of the vehicle, the safety of the scheduling scheme is enhanced, the scheduling efficiency of the transportation capacity of the urban public transportation service system is fully enhanced, and the quality of public transportation service is improved.
Optionally, the method includes the steps of obtaining train number information of all bus routes in the city, mapping the bus routes to a bus geographic information system according to driving routes in the train number information, identifying all stops in the bus routes, and then:
marking key buildings on which the bus line passes, wherein the key buildings comprise: buildings such as schools, hospitals, business centers, etc. that have an impact on the traffic environment;
and then supplementing the marked influence factors of the key buildings on the traffic conditions into the public transportation geographic information system.
By adopting the technical scheme, except for marking the stations on the bus line, the key buildings on the bus line are marked at the same time, so that the reference of the inter-station distance and the traffic conditions of the key buildings is facilitated when the travel time between the stations is predicted, the accuracy of the travel time prediction result is facilitated to be improved, and the efficiency of scheduling in the bus resources of the bus service system is facilitated to be enhanced.
Optionally, the acquiring real-time traffic data in the city, and estimating the travel time between adjacent stations in the same bus route in the geographic information system of the bus based on the real-time traffic data, further includes:
and adding correction values to the estimation result of the travel time between the adjacent stations in the same bus line, wherein the correction values comprise positive values and negative values.
By adopting the technical scheme, the corrected value is added to the finally predicted running time, so that the time interval of floating is formed in the time prediction result, the possibility that the prediction result is matched with the actual running time is favorably improved, the accuracy of running time prediction is convenient to enhance, the experience of a service provider in a public traffic service system is convenient to improve, the corrected value simultaneously comprises a positive value and a negative value, the road condition of the vehicle in the running process is favorably matched, the running time is shortened or the road condition is poor, the running time is prolonged, and the reasonability of the running time prediction result is further improved.
Optionally, the acquiring real-time traffic data in the city, and estimating the travel time between adjacent stations in the same bus route in the geographic information system of the bus based on the real-time traffic data, wherein the acquiring real-time traffic data in the city further includes:
screening and clearing real-time traffic data irrelevant to all bus lines in a city;
the real-time traffic data specifically comprises road traffic data, intersection traffic data, road intersection information, traffic commander information and commander working state information.
By adopting the technical scheme, the real-time traffic data irrelevant to all bus lines in a city are screened and cleared, the data volume of the real-time traffic data is favorably reduced, the data processing efficiency in a bus service system is favorably improved, the response speed of the bus service system is accelerated, meanwhile, the real-time traffic data can be screened and clarified only when the real-time traffic data is irrelevant to all bus lines, the integrity of the real-time traffic data relevant to the bus lines is ensured, and the possibility of data loss when the bus lines are analyzed is further reduced.
Optionally, based on the travel time between adjacent stations in the same bus route and the specified shift interval of the bus route, the scheduling scheme of the next shift of the vehicle in the bus route is adjusted and sent to the corresponding vehicle, wherein:
the adjusting and scheduling scheme specifically comprises the following steps: the number of bus shifts of the corresponding line is increased, the number of bus shifts of the corresponding line is reduced, the departure interval time of adjacent shifts of the corresponding line is increased, and the departure interval time of adjacent shifts of the corresponding line is reduced.
By adopting the technical scheme, the supplement or reduction of the number of the trains on the bus line is fully met, the service quality of the bus service system is favorably met, the possibility of putting redundant transport capacity into the bus line is reduced, and the utilization rate of the transport capacity in the bus line is favorably improved; the time interval between the departure of the vehicle shifts is increased or reduced, the punctual punctuality rate of the vehicle shifts in the bus line is favorably improved, and the experience of passengers are conveniently improved.
Optionally, the scheduling scheme of the vehicle on the bus route is updated and sent to the vehicle in real time based on the real-time driving state of the vehicle and the running information of the vehicle-mounted device;
the update scheduling scheme specifically includes: prolonging the stop time of the vehicle at a certain station, canceling the stop of the vehicle at the certain station, canceling the running of the vehicle and the like.
By adopting the technical scheme, when the passenger gets on or off the bus at a high flow, the parking time of the bus is prolonged, and the safety of bus service is improved; when the bus is fully loaded and no person gets off, the bus stop is cancelled, so that the running time of the bus is saved, and the possibility of personal injury under the condition that the bus is fully loaded is reduced; when the running shift on the bus line meets the arrival time interval of each stop and the passing requirements of passengers, redundant vehicle shifts are cancelled, the utilization efficiency of the vehicle transport capacity in the bus service system is improved, and the possibility of transport capacity waste is reduced.
In a second aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the method.
By adopting the technical scheme, the processor in the intelligent terminal can realize the intelligent transportation-based public transportation service method according to the related computer program stored in the memory, so that a reasonable and accurate scheduling scheme is provided for the public transportation service system in a city, the rationality of transportation capacity scheduling in the public transportation system is enhanced, and the service quality of the public transportation service system is finally improved.
In a third aspect, the present application provides a public transportation service system based on intelligent transportation, which adopts the following technical scheme:
the utility model provides a public transit service system based on-vehicle intelligent terminal, includes:
the public transportation service center module is used as a terminal and a platform, receives and processes the sent information related to public transportation service, and performs centralized scheduling on public transportation service systems in cities;
the vehicle-mounted intelligent terminal module is used for collecting and processing equipment information of a vehicle, and simultaneously realizes data exchange with the public transportation service center module through a remote communication interface;
the vehicle-mounted equipment module assists a vehicle in achieving basic functions and expansion functions of public transportation services and detecting running states of the vehicle.
By adopting the technical scheme, the bus service center module provides functions of a terminal and a platform for a bus service system, dynamic balance of bus capacity and traffic is realized, operation efficiency and service level of buses are improved, centralized and real-time scheduling is realized by allocating flexible capacity, and the effect of improving the vehicle punctuality rate is achieved; the vehicle-mounted equipment module detects the running state of the vehicle and assists the bus service system to complete bus service, and the safety and riding experience of the vehicle are improved.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium storing a computer program that can be loaded by a processor and executes the above-mentioned method.
By adopting the technical scheme, the corresponding program can be stored, so that a reasonable and accurate scheduling scheme is provided for the public traffic service system in the city, the rationality of traffic scheduling in the public traffic system is enhanced, and the service quality of the public traffic service system is finally improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. geographic information related to public transport in a city is collected in advance, a public transport geographic information system is suggested, the geographic information in the city is acquired, the public transport vehicle is conveniently scheduled according to the geographic information, and the rationality of the public transport vehicle scheduling is improved; the stations are identified according to the driving routes of the vehicles, so that the distance between the stations can be intuitively mastered, the reference can be conveniently provided for the dispatching of the public transport vehicles, the real-time traffic data can be referred in the dispatching process, the accuracy of the vehicle dispatching scheme can be improved, and the conformity between the dispatching scheme and the actual traffic condition can be enhanced; the running state of the vehicle and the running information of the vehicle-mounted equipment are detected and collected in real time in the running process of the vehicle, so that the scheduling scheme is favorable for being in line with the running state and the equipment state of the vehicle, the safety of the scheduling scheme is enhanced, the scheduling efficiency of the transportation capacity of a public transportation service system in a city is fully enhanced, and the quality of public transportation service is improved;
2. the method has the advantages that real-time traffic data irrelevant to all bus lines in a city are screened and removed, the data volume of the real-time traffic data is reduced, the data processing efficiency in a bus service system is improved, the response speed of the bus service system is increased, meanwhile, the real-time traffic data can be screened and clarified only when the real-time traffic data is irrelevant to all bus lines, the integrity of the relevance of the real-time traffic data and the bus lines is ensured, and the possibility of data loss when the bus lines are analyzed is reduced;
3. the bus service center module provides functions of a terminal and a platform for a bus service system, dynamic balance of bus capacity and traffic volume is realized, operation efficiency and service level of buses are improved, centralized and real-time scheduling is realized by allocating flexible capacity, and the effect of improving the vehicle punctuality rate is achieved; the vehicle-mounted equipment module detects the running state of the vehicle and assists the bus service system to complete bus service, and the safety and riding experience of the vehicle are improved.
Drawings
FIG. 1 is a flow chart of a public transportation service method based on intelligent transportation shown in the embodiment of the application;
fig. 2 is a system block diagram of a public transportation service system based on intelligent transportation shown in the embodiment of the present application.
Description of reference numerals: 1. a public transportation service center module; 11. a bus dispatching system submodule; 12. externally releasing a platform submodule; 13. a device management platform submodule; 2. a vehicle-mounted intelligent terminal module; 21. a terminal system submodule; 22. a terminal tool submodule; 23. a terminal service submodule; 3. a vehicle-mounted device module; 4. and a communication platform module.
Detailed Description
The present application is described in further detail below with reference to figures 1-2.
The embodiment of the application discloses a public transportation service method based on intelligent transportation. Referring to fig. 1, a public transportation service method based on intelligent transportation includes the following steps:
s100, a public transportation geographic information system is established in advance, geographic information related to urban traffic is obtained and stored in the public transportation geographic information system;
the geographic information specifically includes:
spatial information such as traffic zone maps, road network maps, facility distribution maps, and the like;
attribute information such as traffic zone attribute data, road network attribute data, traffic flow, road grade, road surface condition, image data, and the like;
s200, obtaining the number information of all bus lines in a city, mapping the bus lines to a bus geographic information system according to the driving routes in the number information, and identifying all stops in the bus lines;
s201, then, key buildings passing through the bus line are labeled, and the labeling of the key buildings is distinguished from the labeling of bus stops, wherein the key buildings comprise: schools, hospitals, business centers and other buildings which have influence on the traffic situation, and then the marked attributes of the key buildings which have influence on the traffic situation are also stored in the public transportation geographic information system.
S300, acquiring real-time traffic data in the city;
the real-time traffic data specifically comprises road traffic volume data, intersection traffic volume data, road intersection information, traffic commander information, commander working state information and the like.
S301, then obtaining real-time traffic data in the city, screening geographic information corresponding to the real-time traffic data, and clearing all real-time traffic data irrelevant to all bus lines in the city;
s302, estimating the running time between adjacent stations in the same bus route in a bus geographic information system based on real-time traffic data:
the method for predicting the time of the vehicles between the adjacent stops in the same bus route specifically comprises the steps of calculating the route distance between the two adjacent stops, and calculating the average running time of the vehicles in the section of road by combining real-time traffic data, wherein the calculation steps are as follows:
(A) dividing the distance of the vehicle in the two adjacent stations into a conventional driving area and a station parking area, and then respectively calculating the road resistance function models of the station parking area and the conventional driving area, wherein the calculation formulas are as follows:
(a) a station parking area:
wherein t is the average running time of the vehicles in the station parking area,
in order to determine the parameters to be determined,
as a stationThe utilization coefficient of the ith lane in the parking area, i is a natural number which is greater than 0 and is used for representing the serial number of the lane,
the utilization coefficient of the outermost lane of the station parking area, c the traffic capacity of the conventional traffic flow in the station parking area,
the travel time of the free traffic flow in the station parking area,
for hourly traffic flow in the stop area,
the time of occupying the outermost lane for the bus stop per hour in the station stop area,
the average bus stop times per hour in the stop area;
(b) a normal driving area:
wherein,
、
in order to determine the parameters to be determined,
the average travel time of the vehicle in the regular travel zone,
the traffic capacity of the regular traffic flow in the regular driving area,
the travel time of the free flow in the regular travel area,
the traffic flow per hour in a station parking area;
wherein c is the actual traffic capacity of the road section, and the specific calculation formula is as follows:
| lane position i (from outermost to innermost) | 1 | 2 | 3 | 4 |
 |
1 | 0.87 | 0.73 | 0.6 |
The above parameters relating to real-time or non-real-time traffic data are obtained directly from real-time traffic data or indirectly by calculation. The above formula relates to a BPR road resistance function, wherein the punctuation mode of the undetermined parameter is: substituting the traffic data of the road section and the traffic capacity acquired by the method into a corresponding road resistance function model, and then utilizing SPSS software of IBM to regress to acquire a set value of the undetermined parameter;
(B) respectively calculating the vehicle running time of each road section according to the vehicle running time functions of the station parking area and the conventional running area obtained in the step (A);
(C) and finally, adding the running time of the conventional running area and the running time of the stop area, and applying-10% and +10% running time correction values to finally obtain the predicted running time.
S400, adjusting a scheduling scheme of the next vehicle in the bus line and sending the scheduling scheme to the corresponding vehicle based on the running time between adjacent stations in the same bus line and the specified shift interval of the bus line;
the adjusting scheduling scheme specifically comprises the following steps: the number of bus shifts of the corresponding line is increased, the number of bus shifts of the corresponding line is reduced, the departure interval time of adjacent shifts of the corresponding line is increased, and the departure interval time of adjacent shifts of the corresponding line is reduced.
S500, acquiring a real-time driving state of the vehicle and operation information of the vehicle-mounted equipment;
wherein, the vehicle running state comprises the passenger capacity of the vehicle and the like; the operation information of the in-vehicle apparatus includes various sensors that detect the operation state of the vehicle.
S600, updating a scheduling scheme of the vehicle on the bus line and sending the scheduling scheme to the vehicle in real time based on the real-time running state of the vehicle and the running information of the vehicle-mounted equipment;
the update scheduling scheme specifically includes: prolonging the stop time of the vehicle at a certain station, canceling the stop of the vehicle at the certain station, canceling the running of the vehicle and the like.
The embodiment of the application also discloses an intelligent terminal, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the intelligent transportation-based bus service method.
Based on the method and the intelligent terminal, the embodiment of the application further discloses a public transportation service system based on intelligent transportation, referring to fig. 2, including:
the system comprises a public transport service center module 1, a public transport service center module and a public transport service system, wherein the public transport service center module is used as a terminal and a platform, receives and processes sent information related to public transport service, and carries out centralized scheduling on a public transport service system in a city; the method specifically comprises the following steps: the system comprises a public transport scheduling system, an external publishing platform, an equipment management platform and the like.
The bus dispatching system submodule 11 is used for realizing the dynamic balance of bus capacity and traffic volume and realizing centralized and real-time bus dispatching;
the external publishing platform submodule 12 provides real-time bus trip information, so that citizens can conveniently arrange a trip plan;
the equipment management platform submodule 13 monitors the running state of the equipment, acquires the equipment information in real time and provides a supervision means for the equipment.
The vehicle-mounted intelligent terminal module 2 is used for collecting and processing the equipment information of the vehicle, and simultaneously realizes data exchange with the public traffic service center module through a remote communication interface; the method specifically comprises the following steps:
the terminal system submodule 21 is used for providing a plurality of predefined application program interfaces, which is convenient for realizing the connection between a user and terminal hardware;
the terminal tool submodule 22 is used for encapsulating general functions of the vehicle-mounted terminal, including various driving, communication control, data operation and the like;
and the terminal service submodule 23 is configured to encapsulate multiple different service functions, where the service functions include service modules and service data.
The vehicle-mounted equipment module 3 assists the vehicle in achieving basic functions and expansion functions of public transportation services and detecting running states of the vehicle.
And the communication platform module 4 is used for providing a communication function between the vehicle-mounted terminal and the dispatching center and exchanging data with other service platforms.
The embodiment of the present application further discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and executes the intelligent transportation-based public transportation service method, and the computer-readable storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above examples are only used to illustrate the technical solutions of the present application, and do not limit the scope of protection of the application. It is to be understood that the embodiments described are only some of the embodiments of the present application and not all of them. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, are within the scope of the present application.
Claims (9)
1. A public transportation service method based on intelligent transportation is characterized in that: comprises that
Pre-establishing a public transportation geographic information system, acquiring geographic information related to urban traffic and storing the geographic information into the public transportation geographic information system;
acquiring the train number information of all bus lines in a city, mapping the bus lines into a bus geographic information system according to the driving routes in the train number information, and identifying all stops in the bus lines;
acquiring real-time traffic data in a city, and estimating the running time between adjacent stations in the same bus route in a bus geographic information system based on the real-time traffic data;
adjusting the scheduling scheme of the next vehicle shift in the bus route and sending the scheduling scheme to the corresponding vehicle based on the running time between adjacent stations in the same bus route and the specified shift interval of the bus route;
acquiring a real-time driving state of a vehicle and operation information of vehicle-mounted equipment;
and updating the scheduling scheme of the vehicles on the bus route and transmitting the scheduling scheme to the vehicles in real time based on the real-time running state of the vehicles and the running information of the vehicle-mounted equipment.
2. The intelligent transportation-based public transportation service method according to claim 1, characterized in that: the method comprises the steps of obtaining the number information of all bus lines in the city, mapping the bus lines to a bus geographic information system according to the driving route in the number information, identifying all stations in the bus lines, and then further comprising:
marking key buildings on which the bus line passes, wherein the key buildings comprise: buildings such as schools, hospitals, business centers, etc. that have an impact on the traffic environment;
and then supplementing the marked influence factors of the key buildings on the traffic conditions into the public transportation geographic information system.
3. The intelligent transportation-based public transportation service method according to claim 1, characterized in that: the method for acquiring real-time traffic data in the city and estimating the running time between adjacent stations in the same bus route in the bus geographic information system based on the real-time traffic data further comprises the following steps:
and adding correction values to the estimation result of the travel time between the adjacent stations in the same bus line, wherein the correction values comprise positive values and negative values.
4. The intelligent transportation-based public transportation service method according to claim 1, characterized in that: the method for acquiring real-time traffic data in the city includes the following steps of acquiring real-time traffic data in the city, and estimating the running time between adjacent stations in the same bus route in a bus geographic information system based on the real-time traffic data, wherein the step of acquiring the real-time traffic data in the city further includes the following steps:
screening and clearing real-time traffic data irrelevant to all bus lines in a city;
the real-time traffic data specifically comprises road traffic data, intersection traffic data, road intersection information, traffic commander information and commander working state information.
5. The intelligent transportation-based public transportation service method according to claim 1, characterized in that: based on the travel time between adjacent stops in the same bus route and the specified shift interval of the bus route, adjusting the scheduling scheme of the next vehicle shift in the bus route and sending the scheduling scheme to the corresponding vehicle, wherein:
the adjusting and scheduling scheme specifically comprises the following steps: the number of bus shifts of the corresponding line is increased, the number of bus shifts of the corresponding line is reduced, the departure interval time of adjacent shifts of the corresponding line is increased, and the departure interval time of adjacent shifts of the corresponding line is reduced.
6. The intelligent transportation-based public transportation service method according to claim 1, characterized in that: updating a scheduling scheme of the vehicles on the bus line and transmitting the scheduling scheme to the vehicles in real time based on the real-time running state of the vehicles and the running information of the vehicle-mounted equipment;
the update scheduling scheme specifically includes: prolonging the stop time of the vehicle at a certain station, canceling the stop of the vehicle at the certain station, canceling the running of the vehicle and the like.
7. The utility model provides an intelligent terminal which characterized in that: comprising a memory and a processor, said memory having stored thereon a computer program which can be loaded by the processor and which performs the method of any of claims 1 to 6.
8. The utility model provides a public transit service system based on intelligent transportation which characterized in that includes:
the bus service center module (1) as claimed in claim 7, wherein the bus service center module (1) is used as a terminal and a platform, receives and processes the sent information related to the bus service, and performs centralized scheduling on the bus service systems in the city;
the vehicle-mounted intelligent terminal module (2) is used for collecting and processing equipment information of a vehicle, and simultaneously realizes data exchange with the bus service center module (1) through a remote communication interface;
the vehicle-mounted equipment module (3) assists the vehicle in achieving basic functions and expanding functions of public transportation services, and detects the running state of the vehicle.
9. A computer-readable storage medium characterized by: a computer program which can be loaded by a processor and which executes the method according to any of claims 1-6.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114241764A (en) * | 2021-12-15 | 2022-03-25 | 深圳榕亨实业集团有限公司 | Bus accurate data fusion center system and method based on bus-road cooperation technology |
| CN114996373A (en) * | 2022-03-31 | 2022-09-02 | 重庆市凤筑科技有限公司 | Public transportation big data system, method and storage medium based on geographic information system |
| CN116485137A (en) * | 2023-04-20 | 2023-07-25 | 浪潮智慧科技有限公司 | Intelligent bus scheduling method, device and medium based on big data |
| CN117495204A (en) * | 2023-12-29 | 2024-02-02 | 济南市城市交通研究中心有限公司 | Urban bus running efficiency evaluation method and system based on data analysis |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101572011A (en) * | 2009-06-10 | 2009-11-04 | 上海理工大学 | System and method for intelligently dispatching and managing urban public transports |
| CN101615340A (en) * | 2009-07-24 | 2009-12-30 | 北京工业大学 | Real-time information processing method in the bus dynamic dispatching |
| CN101930670A (en) * | 2010-08-12 | 2010-12-29 | 东南大学 | Method for predicting social vehicle running time on bus travel road section |
| CN107818377A (en) * | 2016-09-12 | 2018-03-20 | 法乐第(北京)网络科技有限公司 | Vehicle global optimization control method, system, vehicle and cloud computing platform based on cloud computing platform |
| CN111125293A (en) * | 2019-12-31 | 2020-05-08 | 南京市城市与交通规划设计研究院股份有限公司 | Automatic generation method and device of public transport network model and electronic equipment |
| CN112580962A (en) * | 2020-12-14 | 2021-03-30 | 俞涛 | Traffic optimization scheduling system and method based on smart city |
-
2021
- 2021-05-29 CN CN202110595693.3A patent/CN113177742A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101572011A (en) * | 2009-06-10 | 2009-11-04 | 上海理工大学 | System and method for intelligently dispatching and managing urban public transports |
| CN101615340A (en) * | 2009-07-24 | 2009-12-30 | 北京工业大学 | Real-time information processing method in the bus dynamic dispatching |
| CN101930670A (en) * | 2010-08-12 | 2010-12-29 | 东南大学 | Method for predicting social vehicle running time on bus travel road section |
| CN107818377A (en) * | 2016-09-12 | 2018-03-20 | 法乐第(北京)网络科技有限公司 | Vehicle global optimization control method, system, vehicle and cloud computing platform based on cloud computing platform |
| CN111125293A (en) * | 2019-12-31 | 2020-05-08 | 南京市城市与交通规划设计研究院股份有限公司 | Automatic generation method and device of public transport network model and electronic equipment |
| CN112580962A (en) * | 2020-12-14 | 2021-03-30 | 俞涛 | Traffic optimization scheduling system and method based on smart city |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114241764A (en) * | 2021-12-15 | 2022-03-25 | 深圳榕亨实业集团有限公司 | Bus accurate data fusion center system and method based on bus-road cooperation technology |
| CN114241764B (en) * | 2021-12-15 | 2022-08-02 | 深圳榕亨实业集团有限公司 | Bus accurate data fusion center system and method based on bus-road cooperation technology |
| CN114996373A (en) * | 2022-03-31 | 2022-09-02 | 重庆市凤筑科技有限公司 | Public transportation big data system, method and storage medium based on geographic information system |
| CN114996373B (en) * | 2022-03-31 | 2023-08-08 | 重庆市凤筑科技有限公司 | Public transportation big data system and method based on geographic information system and storage medium |
| CN116485137A (en) * | 2023-04-20 | 2023-07-25 | 浪潮智慧科技有限公司 | Intelligent bus scheduling method, device and medium based on big data |
| CN116485137B (en) * | 2023-04-20 | 2023-10-13 | 浪潮智慧科技有限公司 | Intelligent bus scheduling method, device and medium based on big data |
| CN117495204A (en) * | 2023-12-29 | 2024-02-02 | 济南市城市交通研究中心有限公司 | Urban bus running efficiency evaluation method and system based on data analysis |
| CN117495204B (en) * | 2023-12-29 | 2024-04-16 | 济南市城市交通研究中心有限公司 | Urban bus running efficiency evaluation method and system based on data analysis |
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