CN113257009B - Intelligent traffic operation and maintenance method and system with vehicle guidance function - Google Patents
Intelligent traffic operation and maintenance method and system with vehicle guidance function Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
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- 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
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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Abstract
The invention discloses an intelligent traffic operation and maintenance method with a vehicle guidance function and a system thereof, wherein the method comprises the following steps: receiving monitoring video images from each monitoring point, analyzing the traffic running state and the traffic equipment running state, and generating an operation and maintenance instruction according to the state analysis result; if the operation and maintenance instruction is vehicle induction, generating an induction strategy; the induction strategy provides a traffic strategy for traffic in at least two traffic directions, and comprises the following steps: monitoring traffic flow queue conditions of each lane, and determining corresponding traffic priorities of each lane when the traffic flow queue conditions are monitored to be changed; and regulating and controlling traffic light signals in the passing direction of each lane according to the determined passing priority corresponding to each lane. The invention realizes the traffic flow queue based on the dynamic change of each lane, generates the traffic priority of the dynamically changed lane, effectively balances the release sequence and the release time of each lane and realizes the high-efficiency induction of the traffic flow of each lane.
Description
Technical Field
The invention relates to the technical field of traffic management, in particular to an intelligent traffic operation and maintenance method and system with a vehicle guidance function.
Background
With the continuous development of electronic devices, communication technologies, new generation internet and other technologies, intelligent transportation, especially a vehicle-road cooperation system, is widely popularized and applied. The vehicle-road cooperative system can realize vehicle-vehicle and vehicle-road dynamic real-time information interaction, and carries out vehicle active safety control and road cooperative management on the basis of full-time space dynamic traffic information acquisition and fusion, thereby having important significance for realizing effective cooperation of human and vehicle roads, ensuring traffic safety and improving traffic efficiency. The intersection of the highway is an area which is easy to cause traffic jam and often becomes the bottleneck of road traffic, for the urban traffic intersection with large traffic flow change, the traffic lane which meets the green light signal often has no vehicle to pass, and the vehicles in the other direction wait in a queue, so that the waiting time of the vehicles is too long, which seriously affects the traffic operation efficiency of the city, and most of the current road traffic signal machines do not have the dynamic induction function.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent traffic operation and maintenance method and system with a vehicle induction function, which effectively improve the vehicle induction efficiency at a traffic intersection. The technical scheme is as follows:
the embodiment of the invention provides an intelligent traffic operation and maintenance method with a vehicle guidance function on one hand, which comprises the following steps:
receiving monitoring video images from each monitoring point, analyzing the traffic running state and the traffic equipment running state, and generating an operation and maintenance instruction according to the state analysis result;
executing an operation and maintenance task based on the type of the operation and maintenance instruction, generating an equipment fault maintenance task if the operation and maintenance instruction is equipment fault maintenance, and generating an induction strategy if the operation and maintenance instruction is vehicle induction;
the induction strategy provides a traffic strategy for traffic in at least two traffic directions, and comprises the following steps:
monitoring traffic flow queue conditions of each lane, and determining the corresponding traffic priority of each lane according to the changed traffic flow queue conditions of each lane when the traffic flow queue conditions are monitored to be changed;
and regulating and controlling traffic light signals in the passing direction of each lane according to the determined passing priority corresponding to each lane.
An embodiment of the present invention provides an intelligent transportation operation and maintenance system with a vehicle guidance function, including:
the operation and maintenance analysis module is used for receiving the monitoring video images from each monitoring point, analyzing the traffic running state and the traffic equipment running state and generating an operation and maintenance instruction according to the state analysis result;
the vehicle induction module is used for executing an operation and maintenance task based on the operation and maintenance instruction type, generating an equipment fault maintenance task if the operation and maintenance instruction is equipment fault maintenance, and generating an induction strategy if the operation and maintenance instruction is vehicle induction;
the induction strategy provides a traffic strategy for traffic in at least two traffic directions, and comprises the following steps:
the lane priority determining unit is used for monitoring the traffic flow queue condition of each lane, and when the traffic flow queue condition is monitored to be changed, determining the corresponding traffic priority of each lane according to the changed traffic flow queue condition of each lane;
and the traffic light signal control unit is used for regulating and controlling the traffic light signals in the traffic direction of each lane according to the determined traffic priority corresponding to each lane.
An embodiment of the present invention provides a computer device, including: a processor, a memory, and a network interface;
the processor is connected with the memory and the network interface, wherein the network interface is used for providing a data communication function, the memory is used for storing a computer program, and the processor is used for calling the computer program so as to enable the computer device to execute the intelligent transportation operation and maintenance method in the embodiment of the invention.
An aspect of the embodiments of the present invention provides a computer-readable storage medium, where a computer program is stored, where the computer program is adapted to be loaded and executed by a processor, so as to enable a computer device having the processor to execute the intelligent transportation operation and maintenance method in the embodiments of the present invention.
The intelligent traffic operation and maintenance method and system with the vehicle guidance function have the following beneficial effects:
1. by monitoring the traffic flow queue condition of each lane, when the traffic flow queue condition is monitored to be changed, the corresponding passing priority of each lane is determined according to the changed traffic flow queue condition of each lane, the dynamically changed traffic flow queue based on each lane is realized, the dynamically changed priority is generated, and the passing priority of each lane is determined. And then according to the dynamically changed priority, the release sequence and the release time of each lane are effectively balanced, the high-efficiency induction of traffic flow of each lane is realized, and the traffic condition is further improved.
2. When the lane with the first priority is consistent with the lane in the current passing state, the continuous passing time of the current passing lane is limited, so that the situation that the passing time of the first priority lane in the inducing scheme is too long to influence the passing of the vehicles in other lanes when the vehicles on each lane are unevenly distributed is avoided.
Drawings
FIG. 1 is a flow chart of an intelligent transportation operation and maintenance method with vehicle guidance function according to an embodiment of the present invention;
fig. 2 is a structural diagram of an intelligent transportation operation and maintenance system with a vehicle guidance function according to an embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
The embodiment of the invention provides an intelligent traffic operation and maintenance method with a vehicle guidance function, which comprises the following steps:
receiving monitoring video images from each monitoring point, analyzing the traffic running state and the traffic equipment running state, and generating an operation and maintenance instruction according to the state analysis result;
executing an operation and maintenance task based on the type of the operation and maintenance instruction, generating an equipment fault maintenance task if the operation and maintenance instruction is equipment fault maintenance, and generating an induction strategy if the operation and maintenance instruction is vehicle induction;
the induction strategy provides a traffic strategy for traffic in at least two traffic directions, and comprises the following steps:
monitoring traffic flow queue conditions of each lane, and determining the corresponding traffic priority of each lane according to the changed traffic flow queue conditions of each lane when the traffic flow queue conditions are monitored to be changed;
and regulating and controlling traffic light signals in the passing direction of each lane according to the determined passing priority corresponding to each lane.
In the embodiment of the invention, the priority of dynamic change can be generated based on the traffic flow queue of dynamic change of each lane, and the priority of releasing each lane can be determined. Therefore, the releasing sequence and releasing time of each lane can be effectively balanced according to the dynamically changed priority, the high-efficiency induction of traffic flow of each lane is realized, and the traffic condition is further improved.
The guidance strategy in the embodiment of the invention can provide traffic strategies for traffic flows in various different traffic directions, for example, two traffic directions which cross an intersection can be adopted when the traffic flows are in the two traffic directions.
When it is monitored that the traffic flow queue condition changes, determining the traffic priority corresponding to each lane according to the changed traffic flow queue condition of each lane comprises the following steps:
predicting vehicle distribution parameters of vehicles to be driven out of the lanes according to the changed distribution of the vehicles in each lane at different positions and the speeds of the vehicles at different positions;
determining the traffic priority of the lane according to the vehicle distribution parameters of the vehicles to be driven out of the lane, wherein the traffic priority of the lane is higher when the vehicle distribution parameters are larger.
In the embodiment of the present invention, the distribution of the vehicles in each lane at different positions may be the distance between the vehicle in each lane and the intersection, and further, for convenience of describing the position distribution, a coordinate system may be established with the intersection as the center, and the position coordinates of each vehicle may be obtained, and the vehicle distribution parameter of the vehicle to be driven out of the lane refers to the position and the speed of each vehicle in an area range with the intersection as the center. By setting the induction of each vehicle in an area range taking the intersection as the center, the vehicle induction speed and the real-time adaptability of the vehicle induction scheme are improved.
The predicting of the vehicle distribution parameters of the vehicles to be driven out of the lane according to the changed distribution of the vehicles in each lane at different positions and the speeds of the vehicles at different positions comprises the following steps:
acquiring the passing deadline of the current passing lane based on the previous vehicle guidance scheme;
for a current passing lane, predicting vehicle distribution parameters of vehicles to be driven out within a preset distance range from an intersection at the passing deadline time based on the distribution of vehicles in the lane at different positions and the speeds of the vehicles at different positions, wherein the vehicles to be driven out within the preset distance range comprise part of the vehicles to be driven out at the current moment and the vehicles which are newly added between the current moment and the passing deadline time and reach the preset distance range;
and for the current non-passing lane, predicting vehicle distribution parameters of the vehicles to be driven out within a preset distance range from the intersection at the passing deadline time based on the distribution of the vehicles in the lane at different positions and the speeds of the vehicles at different positions, wherein the vehicles to be driven out within the preset distance range comprise all the vehicles to be driven out at the current moment and the vehicles which are newly increased between the current moment and the passing deadline time and reach the preset distance range.
In the embodiment of the invention, for the current passing lane, according to the position distribution of the vehicles within a preset distance range from the intersection at the current moment, the preset passing speed of the intersection, and the positions and speeds of the vehicles to enter the preset distance range, the output of the vehicles within the preset distance range from the intersection and the vehicles newly entering the preset distance range are predicted, and then the vehicle distribution parameters of each lane are predicted when the current passing lane is at the passing cut-off time of the last vehicle induction scheme;
and for the current non-passing lane, predicting the position and speed change of the vehicle in the preset distance range at the current moment when the current passing lane is stopped according to the passing stop time of the last vehicle induction scheme according to the position distribution and the speed of the vehicle in the preset distance range from the intersection at the current moment and the preset inter-vehicle distance, and the position and the speed of the newly increased vehicle and the newly increased vehicle in the preset distance range from the intersection. Specifically, for example, the position and speed of the vehicle in the preset distance range at the current time are changed, the position and speed of the vehicle waiting for the traffic light with the speed of 0 at the current time are not changed at the current time and the passing deadline, and the position and speed change in the preset distance range can be predicted according to the current speed of the vehicle with the speed of not 0 at the current time and the passing deadline.
The determining the traffic priority of the lane according to the vehicle distribution parameters of the vehicles to be driven out of the lane comprises the following steps:
and (3) with the passing priority of each lane and the passing time of each lane as particles, searching the particles which meet the conditions that the time of all vehicles to be driven out of each lane to pass through the intersection is shortest and the waiting time of the vehicles in each lane is shortest through a particle swarm search algorithm.
In the embodiment of the invention, the particle swarm algorithm comprises the following steps:
initializing the position and speed of each particle;
constructing a fitness function F (m) based on the time of all vehicles to be driven out of each lane passing through the intersection and the waiting time of the vehicles in each lane;
calculating the fitness of each particle in the current iteration times, and obtaining the historical optimal value Pbest of each particlei sAnd the optimum value of global particle Gbestg s；
Updating the weight of each iteration process according to a formula:
wherein, WmaxPresetting a maximum value for the weight, WminPresetting a minimum value for the weight, SmaxPresetting a maximum value for the iteration times of the particle swarm algorithm, wherein S is the current iteration times;
updating the particles according to a velocity and displacement update formula:
wherein, Vi sAs the current velocity of the particle, Xi sAs the current position of the particle, Pbesti sFor the current iteration history optimum of the particle, Gbestg sAs a global particleCurrent iteration history optimum, c1、c2Is a non-negative constant, r1、r2A random number between 0 and 1;
calculating the fitness of each particle in the current iteration times and obtaining the historical optimal value Pbest of each particlei sAnd the optimum value of global particle Gbestg s；
Repeating the above process until the fitness function of the particle swarm algorithm is less than a preset value or the maximum iteration number S is reachedmax；
And obtaining the passing priority of each lane and the optimal solution of the passing time of each lane based on the global particle optimal value at the end of the particle swarm optimization.
In the particle swarm optimization process, the weight parameter W in the speed updating formula in each iteration process is dynamically updated according to the change of the iteration times, when the iteration starts, the iteration times are small, the iteration times are large, the overall searching capacity is strong, when the iteration times are gradually increased, the weight parameter W is gradually reduced, and the local searching capacity is good.
After determining the passing priority of the lane according to the vehicle distribution parameters of the vehicles to be driven out of the lane, the method further comprises the following steps:
if the traffic priority is the lane with the first priority and is consistent with the current lane in the traffic state, acquiring the maximum value of the continuous traffic time of the current lane in the traffic state according to the traffic cut-off time of the next vehicle induction scheme, and if the maximum value of the continuous traffic time is smaller than a first preset threshold value, taking the current lane as the first priority according to the next vehicle induction scheme;
if the lane with the maximum passing priority determined according to the vehicle distribution parameters is not consistent with the lane in the passing state at present, ending the passing time when the lane in the passing state at present is according to the passing deadline time of the previous vehicle guidance scheme, and passing the lane with the maximum passing priority by adjusting the traffic lights.
In the embodiment of the invention, when the lane with the first passing priority is consistent with the lane in the current passing state, the continuous passing time of the current passing lane is limited, so that the phenomenon that the passing time of the lane is too long in the induction scheme and the passing of the vehicles in other lanes is influenced when the vehicles on each lane are unevenly distributed, such as too many vehicle queues on a single lane, is avoided. And if the maximum value of the continuous passing time is greater than a first preset threshold value, taking the lane with the second priority in the next vehicle guidance scheme as the first priority.
The method for monitoring the traffic flow queue condition of each lane and judging the change of the traffic flow queue condition comprises the following steps:
acquiring the vehicle position distribution state of each lane in a stop waiting state at the current moment;
acquiring the vehicle position coordinate set in the stop waiting state based on a preset coordinate system;
acquiring traffic flow queue change data based on the similarity of the vehicle position coordinate set at the current moment and the previous moment;
and when the similarity of the vehicle position coordinate set is greater than a third preset threshold value, judging that the traffic flow queue condition changes.
In the embodiment of the invention, for the dynamic change of the traffic flow at the traffic intersection, the dynamic change comprises the vehicle quantity change and the vehicle position change of each lane after the vehicles on each lane are driven in and out, the comprehensive measurement of the vehicle quantity change and the vehicle position change of each lane is realized through the similarity calculation of the coordinate set for the vehicle queue change of each lane at the traffic intersection, and meanwhile, the influence on the corresponding traffic priority of each lane when the traffic queue change is small is avoided based on the setting of the third preset threshold, namely the frequent change of the traffic priority of the lane caused by the small-amplitude traffic queue change is avoided.
The intelligent transportation operation and maintenance method with the vehicle guidance function of the embodiment of the invention further comprises the following steps: and on the basis of the predicted vehicle distribution parameters of the vehicles to be driven out of the lane, if the vehicle distribution parameter values exceed a second preset threshold value, replacing the current path points in the travel path planning request of the user. When the vehicle distribution parameters of a certain lane are too large, the vehicle user is guided to avoid the lane, a lane change guidance scheme is generated for the user, the specific lane change guidance scheme can calculate the vehicle passing time of the user according to the predicted lane traffic flow based on a plurality of selectable lane change schemes, and the lane change scheme with the shortest passing time is selected to guide the vehicle of the user.
Further, the embodiment of the present invention provides an intelligent transportation operation and maintenance system with a vehicle guidance function, where the intelligent transportation operation and maintenance system may be a computer program (including program code) running in a computer device, for example, the intelligent transportation operation and maintenance system is an application software; the intelligent transportation operation and maintenance system can be used for executing corresponding steps in the intelligent transportation operation and maintenance method provided by the embodiment of the invention. The data processing apparatus may include:
the operation and maintenance analysis module is used for receiving the monitoring video images from each monitoring point, analyzing the traffic running state and the traffic equipment running state and generating an operation and maintenance instruction according to the state analysis result;
the vehicle induction module is used for executing an operation and maintenance task based on the operation and maintenance instruction type, generating an equipment fault maintenance task if the operation and maintenance instruction is equipment fault maintenance, and generating an induction strategy if the operation and maintenance instruction is vehicle induction;
the induction strategy provides a traffic strategy for traffic in at least two traffic directions, and comprises the following steps:
the lane priority determining unit is used for monitoring the traffic flow queue condition of each lane, and when the traffic flow queue condition is monitored to be changed, determining the corresponding traffic priority of each lane according to the changed traffic flow queue condition of each lane;
and the traffic light signal control unit is used for regulating and controlling the traffic light signals in the traffic direction of each lane according to the determined traffic priority corresponding to each lane.
An embodiment of the present invention further provides a computer device, including: a processor, a memory, and a network interface;
the processor is connected with the memory and the network interface, wherein the network interface is used for providing a data communication function, the memory is used for storing a computer program, and the processor is used for calling the computer program so as to enable the computer equipment to execute the intelligent transportation operation and maintenance method.
It should be understood that the computer device described in this embodiment of the present application may perform the description of the intelligent transportation operation and maintenance method with a vehicle guidance function in the foregoing embodiment, and may also perform the description of the intelligent transportation operation and maintenance system with a vehicle guidance function in the foregoing embodiment, which is not described herein again. In addition, the beneficial effects of the same method are not described in detail.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is adapted to be loaded and executed by a processor, so that a computer device having the processor executes the above-mentioned intelligent transportation operation and maintenance method.
The computer-readable storage medium may be the intelligent transportation operation and maintenance system with vehicle guidance function provided in the foregoing embodiment or an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart card (SMC), a Secure Digital (SD) card, a flash memory card (flash card), and the like, which are provided on the computer device. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the computer device. The computer-readable storage medium is used for storing the computer program and other programs and data required by the computer device. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
The present invention is not limited to the above-described embodiments, and those skilled in the art will be able to make various modifications without creative efforts from the above-described conception, and fall within the scope of the present invention.
Claims (9)
1. The intelligent transportation operation and maintenance method with the vehicle guidance function is characterized by comprising the following steps:
receiving monitoring video images from each monitoring point, analyzing the traffic running state and the traffic equipment running state, and generating an operation and maintenance instruction according to the state analysis result;
executing an operation and maintenance task based on the type of the operation and maintenance instruction, generating an equipment fault maintenance task if the operation and maintenance instruction is equipment fault maintenance, and generating an induction strategy if the operation and maintenance instruction is vehicle induction;
the induction strategy provides a traffic strategy for traffic in at least two traffic directions, and comprises the following steps:
monitoring traffic flow queue conditions of each lane, and determining the corresponding traffic priority of each lane according to the changed traffic flow queue conditions of each lane when the traffic flow queue conditions are monitored to be changed;
regulating and controlling traffic light signals in the traffic direction of each lane according to the determined traffic priority corresponding to each lane;
after the passing priority corresponding to each lane is determined, the method further comprises the following steps:
if the traffic priority is the lane with the first priority and is consistent with the current lane in the traffic state, acquiring the maximum value of the continuous traffic time of the current lane in the traffic state according to the traffic cut-off time of the next vehicle induction scheme, and if the maximum value of the continuous traffic time is smaller than a first preset threshold value, taking the current lane as the first priority according to the next vehicle induction scheme;
if the lane with the maximum passing priority determined according to the vehicle distribution parameters is not consistent with the lane in the passing state at present, ending the passing time when the lane in the passing state at present is according to the passing deadline time of the previous vehicle guidance scheme, and passing the lane with the maximum passing priority by adjusting the traffic lights.
2. The intelligent transportation operation and maintenance method with the vehicle guidance function according to claim 1, wherein when it is monitored that the traffic flow queue situation changes, determining the traffic priority corresponding to each lane according to the changed traffic flow queue situation of each lane comprises:
predicting vehicle distribution parameters of vehicles to be driven out of the lanes according to the changed distribution of the vehicles in each lane at different positions and the speeds of the vehicles at different positions;
determining the traffic priority of the lane according to the vehicle distribution parameters of the vehicles to be driven out of the lane, wherein the traffic priority of the lane is higher when the vehicle distribution parameters are larger.
3. The intelligent transportation operation and maintenance method with the vehicle guidance function according to claim 2, wherein the vehicle distribution parameters of the vehicles to be driven out of the lane are predicted according to the changed distribution of the vehicles in each lane at different positions and the speeds of the vehicles at different positions, and the method comprises the following steps:
acquiring the passing deadline of the current passing lane based on the previous vehicle guidance scheme;
for a current passing lane, predicting vehicle distribution parameters of vehicles to be driven out within a preset distance range from an intersection at the passing deadline time based on the distribution of vehicles in the lane at different positions and the speeds of the vehicles at different positions, wherein the vehicles to be driven out within the preset distance range comprise part of the vehicles to be driven out at the current moment and the vehicles which are newly added between the current moment and the passing deadline time and reach the preset distance range;
and for the current non-passing lane, predicting vehicle distribution parameters of the vehicles to be driven out within a preset distance range from the intersection at the passing deadline time based on the distribution of the vehicles in the lane at different positions and the speeds of the vehicles at different positions, wherein the vehicles to be driven out within the preset distance range comprise all the vehicles to be driven out at the current moment and the vehicles which are newly increased between the current moment and the passing deadline time and reach the preset distance range.
4. The intelligent transportation operation and maintenance method with the vehicle guidance function according to claim 2, wherein the determining the traffic priority of the lane according to the vehicle distribution parameters of the vehicles to be driven out of the lane comprises:
and (3) with the passing priority of each lane and the passing time of each lane as particles, searching the particles which meet the conditions that the time of all vehicles to be driven out of each lane to pass through the intersection is shortest and the waiting time of the vehicles in each lane is shortest through a particle swarm search algorithm.
5. The intelligent transportation operation and maintenance method with the vehicle guidance function according to claim 2, wherein the method for monitoring the traffic flow queue condition of each lane and determining that the traffic flow queue condition changes comprises the following steps:
acquiring the vehicle position distribution state of each lane in a stop waiting state at the current moment;
acquiring the vehicle position coordinate set in the stop waiting state based on a preset coordinate system;
acquiring traffic flow queue change data based on the similarity of the vehicle position coordinate set at the current moment and the previous moment;
and when the similarity of the vehicle position coordinate set is greater than a third preset threshold value, judging that the traffic flow queue condition changes.
6. The intelligent transportation operation and maintenance method with vehicle guidance function according to claim 2, further comprising: and on the basis of the predicted vehicle distribution parameters of the vehicles to be driven out of the lane, if the vehicle distribution parameter values exceed a second preset threshold value, replacing the current path points in the travel path planning request of the user.
7. Intelligent transportation operation and maintenance system who possesses vehicle induction function, its characterized in that includes:
the operation and maintenance analysis module is used for receiving the monitoring video images from each monitoring point, analyzing the traffic running state and the traffic equipment running state and generating an operation and maintenance instruction according to the state analysis result;
the vehicle induction module is used for executing an operation and maintenance task based on the operation and maintenance instruction type, generating an equipment fault maintenance task if the operation and maintenance instruction is equipment fault maintenance, and generating an induction strategy if the operation and maintenance instruction is vehicle induction;
the induction strategy provides a traffic strategy for traffic in at least two traffic directions, and comprises the following steps:
the lane priority determining unit is used for monitoring the traffic flow queue condition of each lane, and when the traffic flow queue condition is monitored to be changed, determining the corresponding traffic priority of each lane according to the changed traffic flow queue condition of each lane;
a traffic light signal control unit for regulating and controlling the traffic light signals in the traffic direction of each lane according to the determined traffic priority corresponding to each lane,
the lane priority determining unit is further configured to, after determining the traffic priority corresponding to each lane, further analyze:
if the traffic priority is the lane with the first priority and is consistent with the current lane in the traffic state, acquiring the maximum value of the continuous traffic time of the current lane in the traffic state according to the traffic cut-off time of the next vehicle induction scheme, and if the maximum value of the continuous traffic time is smaller than a first preset threshold value, taking the current lane as the first priority according to the next vehicle induction scheme;
if the lane with the maximum passing priority determined according to the vehicle distribution parameters is not consistent with the lane in the passing state at present, ending the passing time when the lane in the passing state at present is according to the passing deadline time of the previous vehicle guidance scheme, and passing the lane with the maximum passing priority by adjusting the traffic lights.
8. A computer device, comprising: a processor, a memory, and a network interface;
the processor is connected with the memory and the network interface, wherein the network interface is used for providing a data communication function, the memory is used for storing a computer program, and the processor is used for calling the computer program to enable the computer device to execute the intelligent transportation operation and maintenance method according to any one of claims 1 to 6.
9. A computer-readable storage medium, in which a computer program is stored, the computer program being adapted to be loaded and executed by a processor, so as to cause a computer device having the processor to execute the intelligent transportation operation and maintenance method according to any one of claims 1 to 6.
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Denomination of invention: Intelligent transportation operation and maintenance method and system with vehicle guidance function Effective date of registration: 20231212 Granted publication date: 20220325 Pledgee: Huainan Jiayuan Financing Guarantee Co.,Ltd. Pledgor: Anhui Yinhui Technology Co.,Ltd. Registration number: Y2023980071024 |