CN108881837B - Intelligent traffic control method and system based on vehicle-bridge interconnection cooperation - Google Patents
Intelligent traffic control method and system based on vehicle-bridge interconnection cooperation Download PDFInfo
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- CN108881837B CN108881837B CN201810689374.7A CN201810689374A CN108881837B CN 108881837 B CN108881837 B CN 108881837B CN 201810689374 A CN201810689374 A CN 201810689374A CN 108881837 B CN108881837 B CN 108881837B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/09623—Systems involving the acquisition of information from passive traffic signs by means mounted on the vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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Abstract
The invention discloses an intelligent traffic control method and system based on vehicle-bridge interconnection cooperation. The wireless local area network covers the target bridge and the connecting road thereof and is used for information interconnection of vehicles, roads, bridges and monitoring equipment in the area range; the distributed cameras are equipment used for acquiring road fleet parameters, and acquisition results are transmitted to the road bridge cloud platform; the road bridge cloud platform records road and bridge information of a target position, calculates and collects bridge safety under the condition of motorcade passing in advance and provides a vehicle-to-vehicle distance control index; and the control index is transmitted to a vehicle cab display part, and is compared with the actual distance between the vehicles and early-warning to remind a driver of operation. The invention integrates the bridge safety into the intelligent transportation system, can provide the control index of the distance between the truck and the truck in real time to prompt the driver to operate, and can effectively ensure the safety of the medium and small span bridge under the overload and heavy load transportation environment.
Description
Technical Field
The invention relates to the interdisciplinary field of traffic engineering and bridge engineering, in particular to an intelligent traffic control method and system based on vehicle-bridge interconnection cooperation.
Background
In-service bridge safety assessment and early warning are the leading technical edge in the field of bridge engineering, and vehicle load is used as the main variable function of bridge operation use, so that the bridge safety is obviously influenced, and particularly, the bridge which is used for years and has serious degradation is operated. In China, many accidents caused by bridge collapse due to the fact that an overloaded heavy-duty vehicle runs closely following the road have occurred in recent decade, and adverse effects are caused, such as: the Harbin Yangming beach ramp has 3 deaths and 5 injuries caused by the side inclination of the whole bridge under the action of four closely following trucks (149.7t,163.6t,153.3t and 18.2t), and the Guangxi Gangxi high-speed Guangdong Heyuan south city ramp has 1 deaths and 4 injuries caused by the sudden collapse of the export ramp bridge under the action of four closely following overload trucks (111.5t, 103.6t, 71.9t and 109.9 t). However, the problem of vehicle overload and heavy load is difficult to put an end to the present national social form, and strict vehicle weight limitation can obviously affect the transportation economy, so that a more scientific and reasonable traffic control method is developed to ensure the safety of the bridge urgently.
Under the promotion of new generation information, electronics, computers and other technologies, intelligent traffic systems have been widely developed, and can scientifically and reasonably manage and control road traffic through information acquisition, but these mainly focus on the traffic engineering field, for example: the road traffic jam information is monitored and fed back and regulated in real time, routes are planned for drivers with different driving purposes to ensure the effective operation of the whole road network, and the speed is intelligently limited according to the real-time conditions of road sections to ensure the traffic safety and high-efficiency traffic, and the like. However, the intelligent transportation system does not relate to a bridge structure providing a transportation platform and safety problems thereof.
Therefore, through the interdisciplinary crossing of traffic engineering and bridge engineering, the invention provides an intelligent traffic control method and system based on vehicle-bridge interconnection cooperation, and the traffic safety and traffic efficiency can be ensured and the bridge safety can be ensured through the intelligent control of bridge deck traffic, which is very necessary.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides an intelligent traffic control method and system based on vehicle-bridge interconnection cooperation.
The invention can be combined with an intelligent traffic system to be used for road traffic intelligent control based on bridge safety, can be applied to bridge structures with any span and any type, and is particularly suitable for medium and small-span bridges.
The invention has obvious application benefit for the bridge which is used for years in operation and has certain performance degradation, can effectively early warn sudden bridge collapse and damage, and provides a foundation for road and bridge management units to master the load condition of operation vehicles and the safety of the bridge.
The purpose of the invention can be realized by the following technical scheme:
an intelligent traffic control system based on vehicle-bridge interconnection cooperation comprises a wireless local area network, a distributed camera, a road-bridge cloud platform and a vehicle cab display part. The distributed cameras transmit monitoring data to the road and bridge cloud platform through the wireless local area network, and the road and bridge cloud platform sends instructions to the vehicle cab display part through the wireless local area network.
Preferably, the wireless local area network coverage area is a full road surface of a target bridge and a full road surface of a bridge connection road within the range of 0-500 m upstream, and is used for information interconnection of vehicles, roads, bridges and monitoring equipment within an area range.
Preferably, the distributed cameras are uniformly arranged in a side range of a target bridge and a road with the upstream of 0-500 m of the connecting road at equal intervals, and are equipment for acquiring parameters of a road fleet, and the arrangement intervals are determined according to the coverage area of each camera, so that all the cameras can cover vehicles on all the roads.
Preferably, the road bridge cloud platform includes: the system comprises a digital image processing system, a toll station vehicle information database, a road and bridge information database and a random traffic flow simulation system.
Preferably, the digital image processing system converts road fleet pictures monitored by the distributed cameras into digital images for processing, and mainly extracts parameter information of license plates, lane positions and following distances.
Preferably, the toll station vehicle information database is used for matching license plate information shot by the distributed cameras, and vehicle types, axles, axle weights, wheel bases, front suspensions and rear suspensions of individual vehicles are called by a database query method.
Preferably, the road and bridge information database stores basic information of bridge design, operation and management, and can establish a bridge structure finite element rod system model to calculate an effect influence surface of a given component, or directly store structural effect influence surfaces of all key component key sections, and can calculate a key component resistance model and consider a degradation effect.
Preferably, the random traffic flow simulation system is used for forming a fleet by using lane positions, vehicle weights, axle distances, front suspensions, rear suspensions and adjustable following distances of all individual vehicles, calculating the structural load effect of the fleet by loading on a key effect influence surface, evaluating safety according to the load effect and a member resistance model stored in a road and bridge information database, adjusting the following distances of the vehicles in the fleet according to the target safety requirement of the bridge, and determining the minimum following distance control index meeting the safety of the bridge.
Preferably, the minimum following distance control index refers to a bumper distance between a target vehicle and a preceding vehicle on the same lane or an adjacent lane, and the target vehicle is a truck and the preceding vehicle on the same lane or an adjacent lane to which the target vehicle follows is also a truck. And the target vehicles are sequentially determined according to the sequence of the trucks in the forward direction monitored by the distributed cameras.
Preferably, the vehicle cab display part simultaneously presents a vehicle distance control index fed back by the road and bridge cloud platform and an actual vehicle distance monitored by the distributed cameras, and if the control value is greater than or equal to the actual value, the red light is early-warned, otherwise, the green light is turned on, the red light reminds the driver that the vehicle following distance should be increased to ensure bridge safety until the green light is turned on, and the early-warned vehicle indicates that the target vehicle is a truck and the following vehicle is also a truck.
The invention also provides an intelligent traffic control method based on vehicle-bridge interconnection cooperation, which is characterized by comprising the following specific steps:
s1, monitoring road fleet information through the distributed cameras, and transmitting data to a road bridge cloud platform through a wireless local area network;
s2, calculating the actually measured vehicle-following distance and the target vehicle-following distance for ensuring the safety of the bridge based on the road and bridge cloud platform;
s3, the road and bridge cloud platform sends the measured vehicle following distance and the target vehicle following distance of the vehicle to a vehicle cab display part through the wireless local area network, and reminds the driver whether to increase the vehicle following distance or not in a traffic light early warning way, wherein,
if the control value is smaller than the actual value, displaying an early warning green light; and if the control value is larger than or equal to the actual value, prompting an early warning red light until the driver drives the vehicle to increase the following distance so that the control value is smaller than the actual value, and resuming to display an early warning green light.
Compared with the prior art, the invention has the following beneficial effects:
1. the system can automatically monitor, early warn, record and manage vehicles entering a road bridge to run, does not need to be unattended, saves human resources and reduces management cost. The early warning system for the running vehicles also has the advantages of simple system structure, easy realization and the like, is convenient for practical popularization and strong in application applicability, and is suitable for installation of road and bridge facilities with complex road conditions.
2. Effectively alleviate traffic pressure, can also realize the accurate management and control to key vehicles such as large-scale freight, dangerization article transport vechicle and school bus, solve the technical problem that the ability to deal with traffic incident is low, automatic, intelligent degree is high, effectual. The method is particularly suitable for being installed and used at the key road and bridge intersections in cities, and has wide application range.
3. The bridge safety is integrated into an intelligent traffic system, the functions of limiting the speed of the vehicle and protecting the vehicle are achieved, vehicle information can be fed back to the traffic management intelligent management system in time, and a control index of the distance between a truck and the truck is provided in real time to prompt a driver to operate, so that the safety of the medium-small span bridge in a complex traffic environment can be effectively guaranteed.
Drawings
FIG. 1 is an overall framework diagram of the intelligent traffic control method and system based on vehicle-road interconnection cooperation according to the present invention;
FIG. 2 is a system diagram of an embodiment of the intelligent traffic control method and system based on vehicle-road interconnection and cooperation according to the present invention;
fig. 3 is a flow chart of a control method of a preferred embodiment of the intelligent traffic control method and system based on vehicle-road interconnection cooperation of the present invention.
In the figure:
1-wireless local area network 2-distributed camera 3-road bridge cloud platform 4-vehicle cab display part 5-car 6-truck
Detailed Description
The technical solution in the embodiments of the present invention is clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
In order to take bridge safety into consideration to intelligently control road traffic so as to avoid sudden structural collapse damage, the embodiment provides an intelligent traffic control method and system based on vehicle-bridge interconnection cooperation, and the intelligent traffic control method and system comprise a wireless local area network (1), a distributed camera (2), a road-bridge cloud platform (3) and a vehicle cab display part (4), wherein the distributed camera transmits monitoring data to the road-bridge cloud platform through the wireless local area network, and the road-bridge cloud platform transmits information to the vehicle cab display part through the wireless local area network.
The specific implementation of the embodiment is divided into the following three steps:
and S1, monitoring the road fleet information through the distributed cameras, and transmitting the data to the road bridge cloud platform through the wireless local area network.
And S2, calculating the actual measurement vehicle-following distance and the target vehicle-following distance for ensuring the safety of the bridge based on the road and bridge cloud platform.
S3, the road and bridge cloud platform sends the actual vehicle following distance and the target vehicle following distance of the vehicle to a vehicle cab display part through the wireless local area network, and the driver is reminded whether to increase the vehicle following distance or not through an early warning traffic light mode so as to guarantee the safety of the bridge.
Further, in step S1, the coverage area of the wireless local area network is a full road surface of the target bridge and a full road surface within a range of 0-500 m upstream of the bridge connection road, and is used for information interconnection of vehicles, roads, bridges and monitoring devices within the area. The distributed cameras are uniformly arranged in a side range of a target bridge and a road with the upstream of 0-500 m and the connecting road at equal intervals, and are equipment for acquiring the parameters of a road fleet, and the arrangement intervals are determined according to the coverage area of each camera, so that all the cameras can cover all vehicles on the road.
Further, in step S2, the bridge cloud platform includes: the system comprises a digital image processing system, a toll station vehicle information database, a road and bridge information database and a random traffic flow simulation system. The digital image processing system transmits the distributed cameras to dynamic videos of the monitored road fleet of the road bridge cloud platform for processing, and the following distance, the lane position and the license plate information of the vehicles are obtained. The vehicle information database of the toll station is combined with the identified license plate information, and the vehicle type, the axle weight, the axle distance, the front suspension and the rear suspension parameters of the individual vehicle are called by a database query method. The road and bridge information database stores basic information of bridge design, operation and management, can establish a bridge structure finite element rod system model to calculate the effect influence surface of a given component, or directly stores the structure effect influence surfaces of all key component key sections, and can calculate a key component resistance model and consider the degradation effect. The random traffic flow simulation system screens lane positions of a digital image processing system, vehicle types, vehicle weights, axle distances, front suspension and rear suspension parameters of all vehicles called by a toll station vehicle information database, component effect influence surfaces and component resistance models obtained by a road and bridge information database, and adjustable and controllable following distance control values, so that a fleet loads the component effect influence surfaces in advance, and the following distance control values meeting the requirement that the load effect is lower than the component resistance with a certain reliability standard are calculated by interpolating and summing the bridge load effect through the fleet axle weights and the corresponding position influence surface values.
Further, in step S2, the minimum following distance control index refers to a bumper distance between a target vehicle and a preceding vehicle on the same lane or an adjacent lane, in the case where the target vehicle is a truck and the preceding vehicle on the same lane or an adjacent lane to which the target vehicle follows is also a truck, and the following distance is not considered to be controlled for the case where the target vehicle is a sedan or the target vehicle is a truck and the following vehicle is a sedan. The target vehicles are sequentially determined according to the sequence of the trucks in the advancing direction monitored by the distributed cameras, and the following truck distance control values are different for each truck due to the fact that the load of each truck and the load of the following truck are different.
Further, in step S3, the command is sent to the vehicle cab display unit via the wireless lan based on the actual following distance of the vehicle identified by the digital image processing system in the road and bridge cloud platform and the control following distance of the vehicle calculated by the random traffic flow simulation system. If the actual distance between the vehicles and the bridge is smaller than or equal to the control distance between the vehicles, a red light is early warned, and a driver is required to increase the distance between the vehicles so as to ensure the safety of the bridge in the vehicle passing process; if the actual car following distance is larger than the control car following distance, an early warning green light is given to indicate that the driver can keep or shorten the current car following distance according to the condition.
Claims (8)
1. An intelligent traffic control system based on vehicle-bridge interconnection and cooperation is characterized by comprising a wireless local area network, a distributed camera, a road-bridge cloud platform and a vehicle cab display part;
the distributed camera transmits monitored road vehicle information data to a road and bridge cloud platform through a wireless local area network, and the road and bridge cloud platform sends an instruction to a vehicle cab display part through the wireless local area network;
the road bridge cloud platform comprises: the system comprises a digital image processing system, a toll station vehicle information database, a road and bridge information database and a random traffic flow simulation system; the digital image processing system can identify license plates, lane positions and following distance parameters of all individual vehicles; the toll station vehicle information database is used for matching license plate information shot by the distributed cameras and calling vehicle types, axles, axle weights, wheel bases, front suspensions and rear suspensions of all individual vehicles; the road and bridge information database stores basic information of bridge design, operation and management, is used for establishing a bridge structure finite element model to calculate an effect influence surface of a given component, and can calculate a key component resistance model and consider a degradation effect;
the random traffic flow simulation system forms a fleet of vehicles by using the vehicle weight, axle distance and following distance parameters of all individual vehicles, loads the fleet on an effect influence surface of a bridge member, calculates a load effect, evaluates the safety of a bridge, adjusts the following distance of the vehicles in the fleet according to the target safety requirement of the bridge, and determines a minimum following distance control index;
the road fleet information is monitored through the distributed cameras, and the data are transmitted to the road bridge cloud platform through the wireless local area network; calculating an actually measured vehicle following distance and a target vehicle following distance for ensuring the safety of the bridge based on the road and bridge cloud platform; the road bridge cloud platform sends the actual vehicle following distance and the target vehicle following distance of the vehicle to a vehicle cab display part through a wireless local area network, and reminds a driver whether to increase the vehicle following distance or not through a pre-warning traffic light mode.
2. The intelligent traffic control system based on vehicle-bridge interconnection cooperation of claim 1, wherein the coverage area of the wireless local area network and the distributed cameras is the whole road surface of a target bridge and the whole road surface within the range of 0-500 m upstream of a bridge connecting road.
3. The intelligent traffic control system based on vehicle-bridge interconnection cooperation of claim 2, wherein the distributed cameras are arranged at equal intervals, and the distance is determined according to the coverage area of each camera, so that all the cameras can monitor all vehicles on the road surface.
4. The intelligent traffic control system based on vehicle-bridge interconnection cooperation of claim 1, wherein the minimum following distance control index refers to a bumper distance between a target vehicle and a front-running vehicle on the same lane or an adjacent lane.
5. An intelligent traffic control system based on vehicle-bridge interconnection cooperation according to claim 4, wherein the target vehicle is a truck and the vehicle running ahead of the same lane or the adjacent lane to which the target vehicle follows is also a truck.
6. The intelligent traffic control system based on vehicle-bridge interconnection cooperation of claim 5, wherein the target vehicles are sequentially determined according to the truck sequence in the forward direction monitored by the distributed cameras.
7. The intelligent traffic control system based on the vehicle-bridge interconnection cooperation of claim 1, wherein the vehicle cab display part comprises a vehicle-mounted early warning lamp, and simultaneously presents vehicle distance control indexes fed back by the road-bridge cloud platform and actual vehicle-following distances monitored by the distributed cameras, and reminds a driver whether to increase the vehicle-following distances or not in an early warning lamp prompting manner.
8. An intelligent traffic control method based on vehicle-bridge interconnection cooperation, which is characterized in that the intelligent traffic control system based on vehicle-bridge interconnection cooperation according to any one of claims 1 to 7 is controlled, and the specific steps comprise:
s1, monitoring road fleet information through the distributed cameras, and transmitting data to a road bridge cloud platform through a wireless local area network;
s2, calculating the actually measured vehicle-following distance and the target vehicle-following distance for ensuring the safety of the bridge based on the road and bridge cloud platform;
s3, the road and bridge cloud platform sends the measured vehicle following distance and the target vehicle following distance of the vehicle to a vehicle cab display part through the wireless local area network, and reminds the driver whether to increase the vehicle following distance or not in a traffic light early warning way, wherein,
if the control value is smaller than the actual value, displaying an early warning green light; and if the control value is larger than or equal to the actual value, prompting an early warning red light until the driver drives the vehicle to increase the following distance so that the control value is smaller than the actual value, and resuming to display an early warning green light.
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| CN109903558B (en) * | 2019-03-07 | 2021-11-12 | 南京博瑞吉工程技术有限公司 | Road and bridge vehicle load monitoring system and monitoring method |
| CN109859473A (en) * | 2019-03-07 | 2019-06-07 | 南京博瑞吉工程技术有限公司 | A kind of road and bridge vehicular load distributing monitoring system and monitoring method |
| CN111752373A (en) * | 2019-03-28 | 2020-10-09 | 上海擎感智能科技有限公司 | Vehicle-mounted interaction method, device and system |
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