CN110969847A - Vehicle efficient operation management method based on urban traffic - Google Patents
Vehicle efficient operation management method based on urban traffic Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
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Abstract
The invention discloses a vehicle efficient operation management method based on urban traffic, which comprises the steps of firstly, establishing an urban traffic big data center, and accessing, storing and managing mass multi-source heterogeneous urban traffic participant data; establishing a high-reliability traffic intelligent private network, and adopting a DSRC network with an IEEE standard as a core; and step three, establishing an urban traffic cooperative control decision system. The invention fully utilizes and shares all resources and information in a traffic operation environment from the overall perspective of urban traffic, improves the overall efficiency and safety of urban traffic, and greatly improves the traffic efficiency and safety of a single vehicle.
Description
Technical Field
The invention relates to the technical field of traffic management, in particular to a vehicle efficient operation management method based on urban traffic.
Background
With the rapid development of national economy, the quantity of motor vehicles reserved for residents is increased year by year, and phenomena such as congestion and traffic accidents in key areas of cities not only affect the traffic order, but also cause a series of problems such as economic loss, energy waste and time cost increase.
In the traditional technical scheme, safe driving of the vehicle to a greater extent is generally ensured by improving the intelligent degree of the single vehicle, and safety early warning information is provided for a driver through a perception system of the vehicle. The vehicle is assembled with various intelligent sensing devices in a front-loading or rear-loading mode, the external traffic environment is continuously sensed in the running process, data acquisition and analysis and study and judgment are carried out, and early warning information is fed back to a driver when a potential dangerous condition is met.
Although the bicycle intelligence to a certain extent can carry out perception early warning to the dangerous situation in the road operation process, still there are many drawbacks from the urban traffic perspective: in the urban traffic environment with high-speed operation and complexity, the range and the precision of single-vehicle perception are not completely reliable; the vehicle is additionally provided with the sensing equipment, so that the cost of the single vehicle is greatly increased, great burden is caused to the purchasing power of consumers, and a cooperative decision control mechanism is lacked among vehicles, vehicles and roadside traffic facilities.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a vehicle efficient operation management method based on urban traffic, which has the characteristics of improving the overall efficiency and safety of urban traffic and improving the passing efficiency and safety of a single vehicle.
In order to realize the purpose, the invention provides the following technical scheme:
a vehicle efficient operation management method based on urban traffic comprises the steps of firstly, establishing an urban traffic big data center, and accessing, storing and managing massive multi-source heterogeneous urban traffic participant data;
establishing a high-reliability traffic intelligent private network, and adopting a DSRC network with an IEEE standard as a core;
step three, establishing an urban traffic cooperative control decision system which respectively consists of a road safety early warning system, a traffic signal cooperative system, a key vehicle active prevention and control system, an information cooperative sharing system and an emergency cooperative system;
and fourthly, creating an urban traffic comprehensive command center, and evaluating the life health index of the urban traffic in a multi-dimension manner from the overall operation condition and the variation trend of the macroscopic urban traffic to the operation condition of a microscopic single intersection and a single vehicle, and from the traffic efficiency, the congestion index, the accident index, the service data and the energy consumption.
Furthermore, in the step one, the traffic big data comprise vehicle information, traffic infrastructure information, third-party service institution information and traffic incident information, the vehicle comprises urban operation vehicles and common passenger vehicles, important supervision and service are carried out on the urban operation vehicles such as buses, trucks, muck vehicles, taxis, dangerous goods transport vehicles and special vehicles, an OBU intelligent vehicle-mounted unit and electronic license plate identification equipment are additionally installed, and information issuing and induction are mainly carried out on the common passenger vehicles through roadside variable information boards or mobile phone APPs and other terminal-only media.
Further, the traffic infrastructure in the step one comprises traffic signal lamps, bayonet videos, electronic license plate readers, flow monitoring, pedestrian detection equipment, meteorological monitoring equipment, variable information boards, ponding detection equipment, road side calculation units RSUs and other intelligent sensing equipment.
Further, in the first step, the third-party service organization comprises a police station, a hospital, a fire brigade, a city management system, an insurance claim, automobile maintenance and other vehicle peripheral services, the traffic events comprise instant events and planned events, the instant events comprise traffic accidents, road maintenance, road faults, road congestion and signal lamp abnormity reported by users in real time, and the planned events comprise large-scale activities and special traffic control.
Further, in the second step, the DSRC communication system is composed of three parts, including an on-board unit (OBU), a Road Side Unit (RSU) and a special short-distance wireless communication protocol.
Furthermore, the OBU is installed on the automobile, the RSU is a lane communication device, the main parameters comprise frequency, transmitting power and a communication interface, a special short-distance wireless communication protocol, namely, secure data transmission encryption, and necessary identity authentication and data encryption transmission are added in communication between the OBU and the RSU.
Further, road safety early warning system in step three is real-time perception road traffic conditions for various intelligent sensing equipment, such as road ponding, repair the way, the road jam, the road is unusual, the road surface is easy smooth, traffic accident and other road information, transmit roadside computing unit RSU through intelligent transportation private network in real time, RSU is again with information transmission for the key operation vehicle and the basic capability cloud platform that part is equipped with OBU, basic capability cloud platform is again with early warning information send to ordinary passenger car owner APP and roadside induction screen and other intelligent terminal media on.
Further, the traffic signal cooperation system in the third step is used for uniformly managing urban signal lamps on the basic capability cloud platform, sending the real-time states of the signal lamps to vehicles, carrying out green wave passing speed suggestion and red light running early warning on the vehicles according to the real-time speeds of the vehicles, and carrying out signal priority control on part of special vehicles.
Further, in the third step, the active prevention and control system for key vehicles supervises the transportation behavior of key operation vehicles in key areas by using an electronic identification technology, sets a passing area and a passing time period on a passing management platform based on a GIS map, identifies the electronic tags of the vehicles entering the area by using electronic tag reading and writing equipment deployed at key entries and key road sections of a restricted area, and compares the video monitoring information and the positioning information with vehicle information stored in a background by using the video monitoring information and the positioning information as supplements, so that the vehicles passing in a legal area and the time period normally pass through the identification and comparison of the vehicle information.
Further, the information collaborative sharing system in the third step is an emergency collaborative system in the third step, which is used for carrying out risk degree evaluation on the driving state of the driving route of the vehicle in a certain area in the process of vehicle advancing, carrying out real-time interactive sharing on the driving trend and carrying out real-time reminding on a driver of the potential collision risk, and carrying out avoidance induction and path optimization on sudden or planned traffic events, such as traffic accidents, by linking with a third-party service mechanism, hospitals, traffic police teams and insurance companies in real time and linking with a signal lamp to open a green life channel and simultaneously issuing event information to surrounding vehicles or relevant vehicles of the route through a terminal medium.
In conclusion, the invention has the following beneficial effects:
1. the invention fully utilizes and shares all resources and information in the traffic operation environment from the overall perspective of urban traffic, thereby improving the overall efficiency and safety of urban traffic and greatly improving the traffic efficiency and safety of a single vehicle.
2. The invention has lower cost requirement on the bicycle, and expands the self perception limit including precision and breadth by sharing the perception information of the road side equipment.
Drawings
FIG. 1 is a schematic diagram of the inventive structure;
FIG. 2 is a special vehicle signal priority flow chart of the present invention;
fig. 3 is a schematic diagram of the emergency coordination of the invention.
Detailed Description
Example (b):
the invention is described in further detail below with reference to figures 1-3.
A vehicle high-efficiency operation management method based on urban traffic is disclosed, as shown in FIGS. 1-3, the method comprises the steps of establishing an urban traffic big data center, and accessing, storing and managing massive multi-source heterogeneous urban traffic participant data;
the method comprises the steps that in the first step, traffic big data comprise vehicle information, traffic infrastructure information, third-party service organization information and traffic event information, the vehicles comprise urban operation vehicles and common passenger vehicles, important supervision and service are conducted on the urban operation vehicles such as buses, trucks, muck vehicles, taxis, dangerous goods transport vehicles and special vehicles, OBU intelligent vehicle-mounted units and electronic license plate identification equipment are additionally installed, and information issuing and induction are conducted on the common passenger vehicles mainly through roadside variable information boards or mobile phone APP and other terminal-only media;
the traffic infrastructure in the first step comprises traffic signal lamps, bayonet video, electronic license plate readers-writers, flow monitoring, pedestrian detection equipment, meteorological monitoring equipment, variable information boards, accumulated water detection equipment, a road side calculation unit (RSU) and other intelligent sensing equipment;
in the first step, the third-party service organization comprises a police station, a hospital, a fire brigade, city management, insurance claim settlement, automobile maintenance and other vehicle peripheral service matching, the traffic events comprise instant events and planned events, the instant events comprise traffic accidents, road maintenance, road faults, road congestion and signal lamp abnormity reported by users in real time, and the planned events comprise large-scale activities and special traffic control;
establishing a high-reliability traffic intelligent private network, and adopting a DSRC network with an IEEE standard as a core;
in the second step, the DSRC communication system consists of three parts, including an on-board unit (OBU), a Road Side Unit (RSU) and a special short-distance wireless communication protocol, wherein the OBU is installed on the automobile, is an embedded processing unit, has strong processing capacity, is equivalent to a mobile terminal in the communication system, is lane communication equipment, has the main parameters of frequency, transmitting power and a communication interface, and is the special short-distance wireless communication protocol, namely, security data transmission encryption, and necessary identity authentication and data encryption transmission are added for communication between the OBU and the RSU;
there are two ways of DSRC communication: road-to-vehicle communication (R2V) and vehicle-to-vehicle communication (V2V). R2V is used for communication between vehicles and roadside infrastructure, belongs to the communication process of mobile equipment and fixed equipment, adopts a network model based on one-hop Ad-Hoc network model, and is mainly applied to intelligent charging systems, multimedia downloading and intelligent parking systems. V2V is a vehicle and vehicle communication, belonging to the communication between mobile devices, the adopted network model is based on a multi-hop Ad-Hoc network model, and the typical application is an automobile active avoidance, front obstacle detection and avoidance system;
step three, establishing an urban traffic cooperative control decision system which respectively consists of a road safety early warning system, a traffic signal cooperative system, a key vehicle active prevention and control system, an information cooperative sharing system and an emergency cooperative system;
the road safety early warning system in the third step senses road traffic conditions such as road water accumulation, road repairing, road congestion, road abnormity, easy road surface slipping, traffic accidents and other road information in real time for various intelligent sensing devices, and transmits the information to a road side computing unit RSU in real time through an intelligent traffic special network, the RSU transmits the information to key operation vehicles and a basic capability cloud platform which are partially provided with OBUs, and the basic capability cloud platform transmits the early warning information to a common passenger car main APP, a road side induction screen and other intelligent terminal media;
the traffic signal coordination system in the third step is used for uniformly managing urban signal lamps on the basic capability cloud platform, sending the real-time states of the signal lamps to vehicles, carrying out green wave traffic speed suggestion and red light running early warning on the vehicles according to the real-time speeds of the vehicles, and carrying out signal priority control on part of special vehicles;
in the third step, the key vehicle active prevention and control system monitors the transportation behavior of key operation vehicles in key areas by using an electronic identification technology, sets a passing area and a passing time period on a passing management platform based on a GIS map, identifies the electronic tags of the vehicles entering the area by using electronic tag reading and writing equipment deployed at key entries and key road sections of the passing area, simultaneously utilizes video monitoring information and positioning information as supplements, compares the video monitoring information and the positioning information with vehicle information stored in a background, and normally passes the vehicles passing in legal areas and time periods by vehicle information identification and comparison;
the cooperative sharing system of the information in the third step is used for evaluating the risk degree of the driving state of the driving route of the vehicle in a certain area in the process of vehicle advancing, carrying out real-time interactive sharing on the driving trend and reminding a driver of potential collision risks in real time, and the cooperative system of the emergency in the third step is used for carrying out avoidance guidance and route optimization on sudden or planned traffic events such as traffic accidents by linking a third-party service mechanism, hospitals, traffic police teams and insurance companies in real time and linking signal lamps to open green life channels and simultaneously sending event information to peripheral vehicles or route-related vehicles through terminal media;
creating an urban traffic comprehensive command center, and evaluating the life health index of urban traffic in a multi-dimension manner from the overall operation condition and the variation trend of macroscopic urban traffic to the operation condition of a microscopic single intersection and a single vehicle, and from the traffic efficiency, the congestion index, the accident index, the service data and the energy consumption environment;
the invention fully utilizes and shares all resources and information in the traffic operation environment from the overall perspective of urban traffic, thereby improving the overall efficiency and safety of urban traffic and greatly improving the traffic efficiency and safety of a single vehicle;
the invention has lower cost requirement on the bicycle, and expands the self perception limit including precision and breadth by sharing the perception information of the road side equipment.
The present embodiment is only for explaining the invention, and it is not limited to the invention, and those skilled in the art can make modifications without inventive contribution to the present embodiment as required after reading the present specification, but all of them are protected by patent law within the scope of the claims of the invention.
Claims (10)
1. A vehicle efficient operation management method based on urban traffic is characterized in that: step one, establishing an urban traffic big data center, and accessing, storing and managing mass multi-source heterogeneous urban traffic participant data;
establishing a high-reliability traffic intelligent private network, and adopting a DSRC network with an IEEE standard as a core;
step three, establishing an urban traffic cooperative control decision system which respectively consists of a road safety early warning system, a traffic signal cooperative system, a key vehicle active prevention and control system, an information cooperative sharing system and an emergency cooperative system;
and fourthly, creating an urban traffic comprehensive command center, and evaluating the life health index of the urban traffic in a multi-dimension manner from the overall operation condition and the variation trend of the macroscopic urban traffic to the operation condition of a microscopic single intersection and a single vehicle, and from the traffic efficiency, the congestion index, the accident index, the service data and the energy consumption.
2. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 1, wherein: step one well traffic big data includes vehicle information, traffic infrastructure information, third party service institution information and traffic incident information, the vehicle contains city operation vehicle and ordinary passenger car, carries out key supervision and service to city operation vehicle such as bus, freight train, dregs car, taxi, hazardous materials transport vechicle and special vehicle, installs OBU intelligence on-vehicle unit and electronic license plate identification equipment additional, can only carry out the information through variable information board of roadside or cell-phone APP and other and issue and the induction to ordinary passenger car.
3. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 2, wherein: the traffic infrastructure in the step one comprises traffic signal lamps, bayonet videos, electronic license plate readers-writers, flow monitoring, pedestrian detection equipment, meteorological monitoring equipment, variable information boards, accumulated water detection equipment, road side calculation units RSUs and other intelligent sensing equipment.
4. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 2, wherein: in the first step, the third-party service organization comprises a police station, a hospital, a fire brigade, city management, insurance claim settlement, automobile maintenance and other vehicle surrounding service matching, the traffic events comprise instant events and planned events, the instant events comprise traffic accidents, road maintenance, road faults, road congestion and signal lamp abnormity reported by users in real time, and the planned events comprise large-scale activities and special traffic control.
5. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 1, wherein: and in the second step, the DSRC communication system consists of three parts, including an on-board unit (OBU), a Road Side Unit (RSU) and a special short-distance wireless communication protocol.
6. The method for managing the efficient operation of vehicles based on urban traffic according to claim 5, wherein: the OBU is installed on the automobile, the RSU is lane communication equipment, the main parameters comprise frequency, transmitting power and a communication interface, the special short-distance wireless communication protocol is secure data transmission encryption, and necessary identity authentication and data encryption transmission are added in communication between the OBU and the RSU.
7. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 1, wherein: road safety early warning system is real-time perception road traffic conditions of various intelligent sensing equipment in step three, like road ponding, repair the way, the road jam, the road is unusual, the road surface is easily smooth, traffic accident and other road information, transmit roadside computing unit RSU through intelligent transportation private network in real time, RSU is again with information transmission for the key operation vehicle and the basic capability cloud platform that part is equipped with OBU, basic capability cloud platform is again with early warning information send to ordinary passenger car owner APP and roadside induction screen and other intelligent terminal media on.
8. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 1, wherein: the traffic signal cooperative system in the third step is used for uniformly managing urban signal lamps on the basic capability cloud platform, sending the real-time states of the signal lamps to vehicles, carrying out green wave passing speed suggestion and red light running early warning on the vehicles according to the real-time speeds of the vehicles, and carrying out signal priority control on part of special vehicles.
9. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 1, wherein: the active prevention and control system for key vehicles in the third step utilizes an electronic identification technology to supervise the transportation behavior of key operation vehicles in key areas, sets passing areas and passing time periods on a passing management platform based on a GIS map, utilizes electronic tag reading and writing equipment deployed at key entries and key road sections of a passing area to identify electronic tags of vehicles entering the area, utilizes video monitoring information and positioning information as supplements to compare with vehicle information stored in a background, and utilizes vehicle information identification and comparison to ensure that vehicles passing in legal areas and time periods normally pass.
10. The method for managing the efficient operation of vehicles based on urban traffic as claimed in claim 1, wherein: the cooperative sharing system of the information in the third step is used for evaluating the risk degree of the driving state of the driving route of the vehicle in a certain area in the process of vehicle advancing, carrying out real-time interactive sharing on the driving trend and reminding a driver of potential collision risks in real time, and the cooperative system of the emergency events in the third step is used for carrying out avoidance induction and route optimization on sudden or planned traffic events, such as traffic accidents, by linking a third-party service mechanism, hospitals, traffic police teams and insurance companies in real time and linking signal lamps to open green life channels and simultaneously issuing event information to surrounding vehicles or vehicles related to the route through terminal media.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111768628A (en) * | 2020-07-17 | 2020-10-13 | 武汉科锐智慧交通科技有限公司 | Intelligent traffic management method based on traffic flow regulation |
| CN112512020A (en) * | 2020-11-20 | 2021-03-16 | 北京中交国通智能交通系统技术有限公司 | Multi-source data fusion-based traffic state weak signal perception studying and judging method |
| CN112533174A (en) * | 2020-11-24 | 2021-03-19 | 东风汽车集团有限公司 | Early warning and communication redundancy method and system for red light running scene based on C-V2X |
| CN113015134A (en) * | 2021-02-19 | 2021-06-22 | 东北大学 | Road condition early warning and vehicle excitation method based on block chain technology |
| CN114120623A (en) * | 2020-08-28 | 2022-03-01 | 长沙智能驾驶研究院有限公司 | Road right distribution and supervision method and device |
| CN115440041A (en) * | 2022-09-02 | 2022-12-06 | 东南大学 | Method for predicting driving behavior of key vehicle under road side view angle |
| CN117079466A (en) * | 2023-09-15 | 2023-11-17 | 淮阴工学院 | Traffic area traffic optimization system and method based on AI intelligent technology |
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2019
- 2019-11-25 CN CN201911163231.3A patent/CN110969847A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111768628A (en) * | 2020-07-17 | 2020-10-13 | 武汉科锐智慧交通科技有限公司 | Intelligent traffic management method based on traffic flow regulation |
| CN114120623A (en) * | 2020-08-28 | 2022-03-01 | 长沙智能驾驶研究院有限公司 | Road right distribution and supervision method and device |
| CN112512020A (en) * | 2020-11-20 | 2021-03-16 | 北京中交国通智能交通系统技术有限公司 | Multi-source data fusion-based traffic state weak signal perception studying and judging method |
| CN112512020B (en) * | 2020-11-20 | 2022-10-11 | 北京中交国通智能交通系统技术有限公司 | Traffic state weak signal perception studying and judging method based on multi-source data fusion |
| CN112533174A (en) * | 2020-11-24 | 2021-03-19 | 东风汽车集团有限公司 | Early warning and communication redundancy method and system for red light running scene based on C-V2X |
| CN113015134A (en) * | 2021-02-19 | 2021-06-22 | 东北大学 | Road condition early warning and vehicle excitation method based on block chain technology |
| CN115440041A (en) * | 2022-09-02 | 2022-12-06 | 东南大学 | Method for predicting driving behavior of key vehicle under road side view angle |
| CN115440041B (en) * | 2022-09-02 | 2023-05-30 | 东南大学 | Method for predicting key vehicle driving behavior under road side view angle |
| CN117079466A (en) * | 2023-09-15 | 2023-11-17 | 淮阴工学院 | Traffic area traffic optimization system and method based on AI intelligent technology |
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Application publication date: 20200407 |