A smart city traffic command and monitoring system

Abstract

The present invention relates to the technical field of smart city traffic command and monitoring, and specifically discloses a smart city traffic command and monitoring system, which comprises: a road congestion analysis module, a turn signal light control module, a cloud database, an merging congestion analysis module and a vehicle passage prompt module; the present invention controls each turn signal light in the next passage time period and gives a passage prompt to the vehicle according to the number of vehicles on each turning road corresponding to each intersection in a target city area, the license plate number of the vehicle and the driving time point, the branch road image of each branch road corresponding to each main road and the passage information corresponding to the merging area, thereby achieving real-time monitoring of road congestion, avoiding excessive backlog of traffic in a certain direction, reducing the risk of traffic accidents caused by congestion, and guiding vehicles to travel along the optimal path, reducing unnecessary detours of vehicles, and improving the passage efficiency of the road.

Description

Technical Field

[0001] The present invention relates to the technical field of smart city traffic command and monitoring, and in particular to a smart city traffic command and monitoring system. Background Art

[0002] With the acceleration of urbanization, urban traffic problems are becoming increasingly prominent. Traditional traffic command and monitoring often have problems such as low processing efficiency and limited monitoring range, which cannot meet the needs of modern urban traffic. Therefore, in order to achieve real-time monitoring of urban traffic conditions and realize intelligent command and monitoring, it is necessary to command and monitor road traffic in the target urban area.

[0003] The existing methods of commanding and monitoring road traffic in target urban areas still have the following problems: 1. The green light duration corresponding to each turn signal light at the intersection is currently regulated mainly based on the vehicle congestion at the intersection, and is not regulated in combination with the road congestion conditions of each turning road corresponding to the intersection. It is impossible to monitor the road congestion in real time, which increases the waiting time of vehicles at the intersection and cannot avoid excessive backlog of traffic in a certain direction, thereby increasing the risk of congestion at the intersection, increasing the risk of traffic accidents caused by congestion, and reducing the traffic efficiency of the road.

[0004] 2. Regarding the merging of vehicles on the branch roads corresponding to the main roads, the current method is to temporarily block the congested branch roads by combining the vehicle congestion on the main roads and branch roads, and notify vehicles to go to other branch roads. The optimal branch road for entry is not allocated to vehicles based on the travel distance between branch roads and the merging congestion situation. Some vehicles cannot be diverted, thereby failing to alleviate the congestion. At the same time, vehicles are not guided to travel along the optimal route, which increases unnecessary detours for vehicles and wastes the time of vehicle drivers. When emergencies occur, it is impossible to respond quickly to emergencies, thereby failing to maintain smooth traffic on the roads, reducing the management efficiency of urban traffic. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a smart city traffic command and monitoring system is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a smart city traffic command and monitoring system, including: a road congestion analysis module, which is used to collect the number of vehicles entering and leaving each turning road corresponding to each intersection in the target urban area during the current traffic time period, as well as the license plate number and entry time point of each entering vehicle and the license plate number and exit time point of each exiting vehicle, and analyze the road congestion of each turning road corresponding to each intersection during the current traffic time period.

[0007] The turn signal light control module is used to extract the green light duration corresponding to each turn signal light at each intersection in the target urban area during the current traffic time period, and to control the green light duration corresponding to each turn signal light at each intersection during the next traffic time period.

[0008] The cloud database is used to store the reference floating green light duration corresponding to the unit road congestion difference.

[0009] The merging congestion analysis module is used to extract the entrance positions of each branch road corresponding to each main road in the target urban area, collect the branch road images of each branch road corresponding to each main road at each monitoring time point in the current monitoring time period, and collect the traffic information corresponding to the merging area of ​​each branch road corresponding to each main road in the current monitoring time period, and analyze the merging congestion of each branch road corresponding to each main road in the current monitoring time period.

[0010] The vehicle traffic prompt module is used to provide vehicle traffic prompts to each vehicle in the entrance area corresponding to each branch road of each main road within the next traffic time period.

[0011] Specifically, the road congestion of each turning road corresponding to each intersection in the current traffic time period is analyzed, and the specific analysis process is as follows: A1. Subtract the number of vehicles entering and the number of vehicles leaving each turning road corresponding to each intersection in the current traffic time period to obtain the number of congested vehicles on each turning road corresponding to each intersection in the current traffic time period, which is recorded as ε ri , where r represents the number of the intersection, r=1,2,...,g, and i represents the number of the turning road, i=1,2,...,n.

[0012] A2. Compare the license plate numbers of each incoming vehicle and each outgoing vehicle on each turning road corresponding to each intersection within the current traffic time period, and record the vehicles corresponding to the same license plate number as comprehensive vehicles.

[0013] A3. According to the entry time point of each entering vehicle and the exit time point of each exiting vehicle, the entry time point and the exit time point of each comprehensive vehicle are obtained, and the time points are compared to obtain the travel time of each comprehensive vehicle in each turning road corresponding to each intersection in the current travel time period, which is recorded as T rij , where j represents the number of the integrated vehicle, j=1,2,...,m.

[0014] A4. Calculate the road congestion β of each turning road corresponding to each intersection during the current traffic time period ri , Among them, ε′ and T′ represent the set reference number of congested vehicles and travel time, respectively, a1 and a2 represent the weights of the road congestion assessment corresponding to the set number of congested vehicles and travel time, respectively, and m represents the total number of vehicles.

[0015] Specifically, the green light duration corresponding to each turn signal light at each intersection in the next traffic time period is regulated, and the specific regulation process is as follows: B1, the green light duration corresponding to each turn signal light at each intersection in the current traffic time period in the target urban area is recorded as

[0016] B2. Extract the reference floating green light duration corresponding to the unit road congestion difference from the cloud database and record it as T0.

[0017] B3. Set the green light duration of each turn signal light at each intersection during the next traffic time period Here, β′ represents the road congestion degree of the set reference.

[0018] B4. In summary, The value of is used as the green light duration corresponding to each turn signal light at each intersection in the next traffic time period.

[0019] Specifically, the traffic information includes the number of vehicles entering the area and the number of vehicles leaving the area, as well as the license plate number and the entry time of each vehicle entering the area and the license plate number and the exit time of each vehicle leaving the area.

[0020] Specifically, the analysis of the congestion of each branch road corresponding to each main road in the current monitoring time period is specifically performed as follows: C1, extracting the number of vehicles in the entry area and the number of vehicles in the exit area, as well as the license plate number and the entry time point of the vehicles in each entry area and the license plate number and the exit time point of the vehicles in each exit area from the traffic information corresponding to the merging area to which each branch road corresponding to each main road belongs in the current monitoring time period, and analyzing the congestion of each turning road corresponding to each intersection in the current traffic time period in the same way to obtain the congestion of each merging area corresponding to each branch road of each main road in the current monitoring time period. qf , where q represents the number of the main road, q=1,2,...,p, and f represents the number of the branch road, f=1,2,...,l.

[0021] C2. Calculate the congestion degree δ of each branch road corresponding to each main road in the current monitoring time period according to the branch road images corresponding to each monitoring time point in the current monitoring time period. qf .

[0022] C3. Calculate the congestion degree ω of each branch road corresponding to each main road during the current monitoring period qf , Among them, χ′ and δ′ represent the congestion of the referenced incorporated area and the congestion of the branch road, respectively; a3 and a4 represent the weights of the congestion of the referenced incorporated area and the congestion of the branch road corresponding to the congestion assessment, respectively; and e represents a natural constant.

[0023] Specifically, the congestion degree of each branch road corresponding to each main road in the current monitoring time period is calculated, and the specific calculation process is as follows: D1, the number of vehicles is located from the branch road image corresponding to each branch road of each main road at each monitoring time point in the current monitoring time period, and the maximum value is extracted from it to obtain the maximum number of vehicles corresponding to each branch road of each main road in the current monitoring time period, which is recorded as τ qf .

[0024] D2. Locate the distance between vehicles from the branch road images corresponding to each branch road of each main road at each monitoring time point in the current monitoring period, and calculate the average distance between vehicles to obtain the average distance between each branch road of each main road in the current monitoring period, denoted as

[0025] D3. Calculate the congestion degree δ of each branch road corresponding to each main road in the current monitoring time period qf , Among them, τ′ and L′ 车 They represent the set reference number of vehicles and vehicle distance respectively, and a5 and a6 represent the weights of the branch road congestion assessment corresponding to the set number of vehicles and vehicle distance respectively.

[0026] Specifically, the vehicle passage prompt is given to each vehicle in the entrance area of ​​each branch road corresponding to each main road in the next traffic time period. The specific prompt process is: E1. The merging congestion degree of each branch road corresponding to each main road in the current monitoring time period is compared with the merging congestion degree of the set reference. If the merging congestion degree of a branch road corresponding to a certain main road in the current monitoring time period is greater than or equal to the merging congestion degree of the set reference, then the branch road is recorded as a congested branch road, otherwise, it is recorded as an idle branch road.

[0027] E2. Temporarily block the congested branch roads corresponding to the main roads in the current monitoring time period in the next monitoring time period, and display a temporary blockade reminder on the electronic display screen at the entrance of each congested branch road.

[0028] E3. Calculate the traffic adaptability between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road Wherein, z represents the number of the congested branch road, z=1, 2, ..., y, and h represents the number of the target idle branch road, h=1, 2, ..., x.

[0029] E4. The target idle branch road corresponding to the maximum traffic adaptability is used as the entry branch road for each vehicle in the entrance area of ​​each congested branch road in the next traffic time period, and a prompt for entering the branch road is displayed on the electronic display screen at the entrance of each congested branch road.

[0030] Specifically, the calculation of the traffic adaptability between each congested branch road corresponding to each main road and each corresponding target idle branch road is as follows: F1. According to the entrance positions of each branch road corresponding to each main road in the target urban area, the entrance positions of each congested branch road and each idle branch road corresponding to each main road are obtained, and the entrance positions are compared to obtain the traffic distance between each congested branch road corresponding to each main road and each corresponding target idle branch road, which is recorded as L qzh .

[0031] F2. The congestion degree of each target idle branch road corresponding to each congested branch road corresponding to each main road in the current monitoring time period is recorded as ξ qzh .

[0032] F3. Calculate the traffic adaptability between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road Among them, L′ and ξ′ represent the set reference travel distance and merging congestion respectively, and a7 and a8 represent the weights of the set travel distance and merging congestion corresponding to the traffic adaptability evaluation respectively.

[0033] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention analyzes the road congestion of each turning road in the current traffic time period according to the number of vehicles, license plate numbers and travel time points of each turning road corresponding to each intersection in the target urban area in the current traffic time period, thereby adjusting the green light duration corresponding to each turn signal light in the next traffic time period, thereby realizing real-time monitoring of road congestion, reducing the waiting time of vehicles at intersections, and avoiding excessive backlog of traffic in a certain direction, thereby reducing the risk of congestion at intersections, reducing the risk of traffic accidents caused by congestion, and improving the traffic efficiency of the road. At the same time, by adjusting the green light duration according to the road congestion situation, the traffic signal can be controlled more finely, and the scientificity and rationality of traffic signal control can be improved.

[0034] (2) The present invention analyzes the congestion of each branch road in the current monitoring time period based on the branch road images of each branch road corresponding to each main road in the current monitoring time period and the traffic information corresponding to the merging area, thereby providing vehicle passage prompts to each vehicle in the entrance area of ​​each branch road in the next traffic time period, diverting some vehicles and alleviating congestion. At the same time, the present invention guides vehicles to travel along the optimal path, reducing unnecessary detours of vehicles and saving the time of vehicle drivers. When emergencies occur, the present invention can quickly respond to emergencies, thereby maintaining smooth traffic on the roads and improving the management efficiency of urban traffic. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0036] Figure 1 It is a schematic diagram of the system module structure connection of the present invention.

[0037] Figure 2 It is a schematic diagram of the intersection of the present invention.

[0038] Figure 3 It is a schematic diagram of the main road of the present invention.

[0039] Description of the accompanying drawings: 1. Left-turn road, 2. Right-turn road, 3. Straight-turn road, 4. Main road, 5. Branch road, 6. Entrance of branch road, 7. Belonging entrance area, 8. Belonging entrance to merged area, 9. Belonging exit of merged area. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1 As shown, the present invention provides a smart city traffic command and monitoring system, including: a road congestion analysis module, a turn signal light control module, a cloud database, a congestion analysis module and a vehicle passage prompt module.

[0042] The road congestion analysis module is connected to the turn signal light control module, the congestion analysis module is connected to the vehicle traffic prompt module, and the turn signal light control module is connected to the cloud database.

[0043] See also Figure 2 As shown, the road congestion analysis module is used to collect the number of vehicles entering and leaving each turning road corresponding to each intersection in the target urban area during the current traffic time period, as well as the license plate number and entry time point of each entering vehicle and the license plate number and exit time point of each exiting vehicle, and analyze the road congestion of each turning road corresponding to each intersection during the current traffic time period.

[0044] It should be noted that the turning roads include left-turning roads, right-turning roads and straight-ahead turning roads.

[0045] It should also be noted that the method for collecting the number of vehicles entering and leaving each turning road corresponding to each intersection in the target urban area during the current traffic time period is as follows: video images corresponding to the entrance and exit are collected by video surveillance cameras installed at the intersection connection of each turning road and each intersection and video surveillance cameras installed at the intersection connection of each turning road and its corresponding next intersection, and vehicles are identified and counted through video analysis technology, and vehicles exiting at the exit with the same driving direction as the entrance are recorded as exiting vehicles.

[0046] It should also be noted that the license plate number and entry time of each incoming vehicle and the license plate number and exit time of each outgoing vehicle are respectively collected by video surveillance equipment installed at the entrance and exit of each turning road.

[0047] In a specific embodiment of the present invention, the road congestion degree of each turning road corresponding to each intersection in the current traffic time period is analyzed, and the specific analysis process is as follows: A1, the number of vehicles entering and the number of vehicles leaving each turning road corresponding to each intersection in the current traffic time period are subtracted to obtain the number of congested vehicles on each turning road corresponding to each intersection in the current traffic time period, which is recorded as ε ri , where r represents the number of the intersection, r=1,2,...,g, and i represents the number of the turning road, i=1,2,...,n.

[0048] A2. Compare the license plate numbers of each incoming vehicle and each outgoing vehicle on each turning road corresponding to each intersection within the current traffic time period, and record the vehicles corresponding to the same license plate number as comprehensive vehicles.

[0049] A3. According to the entry time point of each entering vehicle and the exit time point of each exiting vehicle, the entry time point and the exit time point of each comprehensive vehicle are obtained, and the time points are compared to obtain the travel time of each comprehensive vehicle in each turning road corresponding to each intersection in the current travel time period, which is recorded as T rij , where j represents the number of the integrated vehicle, j=1,2,...,m.

[0050] A4. Calculate the road congestion β of each turning road corresponding to each intersection during the current traffic time period ri , Among them, ε′ and T′ represent the set reference number of congested vehicles and travel time, respectively, a1 and a2 represent the weights of the road congestion assessment corresponding to the set number of congested vehicles and travel time, respectively, and m represents the total number of vehicles.

[0051] The turn signal light control module is used to extract the green light duration corresponding to each turn signal light at each intersection in the target urban area during the current traffic time period, and control the green light duration corresponding to each turn signal light at each intersection during the next traffic time period.

[0052] It should be noted that the green light duration corresponding to each turn signal light at each intersection in the target city area during the current traffic time period is extracted from the signal light control system of each intersection in the target city area.

[0053] In a specific embodiment of the present invention, the green light duration corresponding to each turn signal light at each intersection in the next traffic time period is regulated. The specific regulation process is as follows: B1. The green light duration corresponding to each turn signal light at each intersection in the current traffic time period in the target urban area is recorded as

[0054] B2. Extract the reference floating green light duration corresponding to the unit road congestion difference from the cloud database and record it as T0.

[0055] B3. Set the green light duration of each turn signal light at each intersection during the next traffic time period Here, β′ represents the road congestion degree of the set reference.

[0056] B4. In summary, The value of is used as the green light duration corresponding to each turn signal light at each intersection in the next traffic time period.

[0057] The embodiment of the present invention analyzes the road congestion of each turning road in the current traffic time period according to the number of vehicles, the license plate numbers of the vehicles and the driving time points of each turning road corresponding to each intersection in the target urban area in the current traffic time period, thereby regulating the green light duration corresponding to each turn signal light in the next traffic time period, thereby realizing real-time monitoring of road congestion, reducing the waiting time of vehicles at intersections, avoiding excessive backlog of traffic in a certain direction, thereby reducing the congestion risk at intersections, reducing the risk of traffic accidents caused by congestion, and improving the traffic efficiency of roads. At the same time, the green light duration is adjusted according to the road congestion situation, so as to control traffic signals more finely and improve the scientificity and rationality of traffic signal control.

[0058] The cloud database is used to store the reference floating green light duration corresponding to the unit road congestion difference.

[0059] See also Figure 3 As shown, the merging congestion analysis module is used to extract the entrance positions of each branch road corresponding to each main road in the target urban area, collect the branch road images of each branch road corresponding to each main road at each monitoring time point in the current monitoring time period, and collect the traffic information corresponding to the merging area to which each branch road corresponding to each main road belongs within the current monitoring time period, and analyze the merging congestion of each branch road corresponding to each main road within the current monitoring time period.

[0060] It should be noted that the entrance positions of each branch road corresponding to each main road in the target urban area are extracted from the road management system of each main road in the target urban area, and the branch road images of each branch road corresponding to each main road at each monitoring time point in the current monitoring time period are collected by cameras installed at each branch road corresponding to each main road.

[0061] In a specific embodiment of the present invention, the traffic information includes the number of vehicles entering the area and the number of vehicles leaving the area, as well as the license plate number and entry time of each vehicle entering the area and the license plate number and exit time of each vehicle leaving the area.

[0062] It should be noted that the number of vehicles entering the area and the number of vehicles leaving the area are respectively collected by infrared sensors installed at the entrance and exit of the merging area of ​​each branch road corresponding to each main road. When a vehicle passes by, the sensor will sense the vehicle and trigger the counter, thereby counting the number of vehicles entering the area and the number of vehicles leaving the area.

[0063] It should also be noted that the license plate numbers and entry times of the vehicles in each entry area and the license plate numbers and exit times of the vehicles in each exit area are collected respectively by video surveillance equipment installed at the entrances and exits of the merging areas of each branch road corresponding to each main road.

[0064] In a specific embodiment of the present invention, the analysis of the congestion of each branch road corresponding to each main road in the current monitoring time period is specifically performed as follows: C1, extracting the number of vehicles in the entry area and the number of vehicles in the exit area, as well as the license plate number and the entry time point of the vehicles in each entry area and the license plate number and the exit time point of the vehicles in each exit area from the traffic information corresponding to the merging area to which each branch road corresponding to each main road belongs in the current monitoring time period, and analyzing the congestion of each turning road corresponding to each intersection in the current traffic time period in the same way to obtain the congestion of each merging area corresponding to each branch road of each main road in the current monitoring time period. qf , where q represents the number of the main road, q=1,2,...,p, and f represents the number of the branch road, f=1,2,...,l.

[0065] C2. Calculate the congestion degree δ of each branch road corresponding to each main road in the current monitoring time period according to the branch road images corresponding to each monitoring time point in the current monitoring time period. qf .

[0066] In a specific embodiment of the present invention, the congestion degree of each branch road corresponding to each main road in the current monitoring time period is calculated, and the specific calculation process is as follows: D1, the number of vehicles is located from the branch road image corresponding to each branch road of each main road at each monitoring time point in the current monitoring time period, and the maximum value is extracted therefrom to obtain the maximum number of vehicles corresponding to each branch road of each main road in the current monitoring time period, which is recorded as τ qf .

[0067] It should be noted that the number of vehicles is obtained by identifying and counting vehicles in the branch road image using image analysis software.

[0068] D2. Locate the distance between vehicles from the branch road images corresponding to each branch road of each main road at each monitoring time point in the current monitoring period, and calculate the average distance between vehicles to obtain the average distance between each branch road of each main road in the current monitoring period, denoted as

[0069] It should be noted that the distance between the vehicles is obtained by measuring the distance between the vehicles using a measuring tool provided in the image analysis software.

[0070] D3. Calculate the congestion degree δ of each branch road corresponding to each main road in the current monitoring time period qf , Among them, τ′ and L′ 车 They represent the set reference number of vehicles and vehicle distance respectively, and a5 and a6 represent the weights of the branch road congestion assessment corresponding to the set number of vehicles and vehicle distance respectively.

[0071] C3. Calculate the congestion degree ω of each branch road corresponding to each main road during the current monitoring period qf , Among them, χ′ and δ′ represent the congestion of the referenced incorporated area and the congestion of the branch road, respectively; a3 and a4 represent the weights of the congestion of the referenced incorporated area and the congestion of the branch road corresponding to the congestion assessment, respectively; and e represents a natural constant.

[0072] The vehicle traffic prompt module is used to provide a vehicle traffic prompt to each vehicle in the entrance area of ​​each branch road corresponding to each main road within the next traffic time period.

[0073] In a specific embodiment of the present invention, the vehicle passage prompt is given to each vehicle in the entrance area of ​​each branch road corresponding to each main road in the next passage time period. The specific prompt process is: E1. The merging congestion degree of each branch road corresponding to each main road in the current monitoring time period is compared with the merging congestion degree of the set reference. If the merging congestion degree of a branch road corresponding to a certain main road in the current monitoring time period is greater than or equal to the merging congestion degree of the set reference, then the branch road is recorded as a congested branch road, otherwise, it is recorded as an idle branch road.

[0074] E2. Temporarily block the congested branch roads corresponding to the main roads in the current monitoring time period in the next monitoring time period, and display a temporary blockade reminder on the electronic display screen at the entrance of each congested branch road.

[0075] E3. Calculate the traffic adaptability between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road Wherein, z represents the number of the congested branch road, z=1, 2, ..., y, and h represents the number of the target idle branch road, h=1, 2, ..., x.

[0076] It should be noted that the driving direction of the vehicles in each main road is taken as the positive direction, and each idle branch road in the same driving direction as each congested branch road and in front of each congested branch road is recorded as each target idle branch road.

[0077] In a specific embodiment of the present invention, the calculation of the traffic adaptability between each congested branch road corresponding to each main road and each corresponding target idle branch road is as follows: F1. According to the entrance positions of each branch road corresponding to each main road in the target urban area, the entrance positions of each congested branch road and each idle branch road corresponding to each main road are obtained, and the entrance positions are compared to obtain the traffic distance between each congested branch road corresponding to each main road and each corresponding target idle branch road, which is recorded as L qzh .

[0078] It should be noted that the travel distance is obtained from the navigation system by inputting the entrance positions of each congested branch road corresponding to each main road and each target idle branch road corresponding to the main road into the navigation system.

[0079] F2. The congestion degree of each target idle branch road corresponding to each congested branch road corresponding to each main road in the current monitoring time period is recorded as ξ qzh .

[0080] It should be noted that the merging congestion degree of each target idle branch road corresponding to each congested branch road corresponding to each main road in the current monitoring time period is obtained according to the merging congestion degree of each idle branch road corresponding to each main road in the current monitoring time period.

[0081] F3. Calculate the traffic adaptability between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road Among them, L′ and ξ′ represent the set reference travel distance and merging congestion respectively, and a7 and a8 represent the weights of the set travel distance and merging congestion corresponding to the traffic adaptability evaluation respectively.

[0082] E4. The target idle branch road corresponding to the maximum traffic adaptability is used as the entry branch road for each vehicle in the entrance area of ​​each congested branch road in the next traffic time period, and a prompt for entering the branch road is displayed on the electronic display screen at the entrance of each congested branch road.

[0083] The embodiment of the present invention analyzes the merging congestion of each branch road in the current monitoring time period according to the branch road images of each branch road corresponding to each main road in the current monitoring time period and the traffic information corresponding to the merging area, thereby providing vehicle passage prompts to each vehicle in the entrance area to which each branch road belongs in the next traffic time period, diverting some vehicles and alleviating congestion. At the same time, it guides vehicles to travel along the optimal path, reduces unnecessary detours of vehicles, saves time of vehicle drivers, and can quickly respond to emergencies when they occur, thereby maintaining smooth traffic on the roads and improving the management efficiency of urban traffic.

[0084] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A smart city traffic command and monitoring system, characterized in that: include: The road congestion analysis module is used to collect the number of vehicles entering and exiting each turning road corresponding to each intersection in the target urban area during the current traffic time period, as well as the license plate number and entry time of each entering vehicle and the license plate number and exit time of each exiting vehicle, and analyze the road congestion of each turning road corresponding to each intersection during the current traffic time period; A turn signal light control module is used to extract the green light duration corresponding to each turn signal light at each intersection in the current traffic time period in the target city area, and control the green light duration corresponding to each turn signal light at each intersection in the next traffic time period; A cloud database is used to store the reference floating green light duration corresponding to the unit road congestion difference; The merging congestion analysis module is used to extract the entrance positions of each branch road corresponding to each main road in the target urban area, collect the branch road images of each branch road corresponding to each main road at each monitoring time point in the current monitoring time period, and collect the traffic information corresponding to the merging area of ​​each branch road corresponding to each main road in the current monitoring time period, and analyze the merging congestion of each branch road corresponding to each main road in the current monitoring time period; The vehicle traffic prompt module is used to provide a vehicle traffic prompt to each vehicle in the corresponding entrance area of ​​each branch road corresponding to each main road within the next traffic time period; The specific analysis process of analyzing the congestion degree of each branch road corresponding to each main road in the current monitoring time period is as follows: C1. Extract the number of vehicles entering the area and the number of vehicles leaving the area, as well as the license plate number and entry time of the vehicles in each entry area and the license plate number and exit time of the vehicles in each exit area from the traffic information corresponding to the merging area of ​​each branch road corresponding to each main road in the current monitoring time period. According to the analysis method of the road congestion of each turning road corresponding to each intersection in the current traffic time period, the congestion degree χ of the merging area of ​​each branch road corresponding to each main road in the current monitoring time period is obtained. qf , where q represents the number of the main road, q = 1, 2, ..., p, and f represents the number of the branch road, f = 1, 2, ..., l; C2. Calculate the congestion degree δ of each branch road corresponding to each main road in the current monitoring time period according to the branch road images corresponding to each monitoring time point in the current monitoring time period. qf ; C3. Calculate the congestion degree ω of each branch road corresponding to each main road during the current monitoring period qf , Among them, χ′ and δ′ represent the congestion of the referenced incorporated area and the congestion of the branch road, a3 and a4 represent the weights of the congestion of the referenced incorporated area and the congestion of the branch road, and e represents a natural constant. The specific calculation process of calculating the congestion degree of each branch road corresponding to each main road in the current monitoring time period is as follows: D1. Locate the number of vehicles from the branch road images corresponding to each branch road of each main road at each monitoring time point in the current monitoring period, and extract the maximum value from them to obtain the maximum number of vehicles corresponding to each branch road of each main road in the current monitoring period, denoted as τ qf ; D2. Locate the distance between vehicles from the branch road images corresponding to each branch road of each main road at each monitoring time point in the current monitoring period, and calculate the average distance between vehicles to obtain the average distance between vehicles corresponding to each branch road of each main road in the current monitoring period, denoted as D3. Calculate the congestion degree δ of each branch road corresponding to each main road in the current monitoring time period qf , Among them, τ′ and L′ 车 They represent the number of vehicles and the distance between vehicles used as reference, respectively; a5 and a6 represent the weights of the branch road congestion assessment corresponding to the number of vehicles and the distance between vehicles used as reference; The specific process of providing a vehicle passing reminder to each vehicle in the entrance area of ​​each branch road corresponding to each main road in the next passing time period is as follows: E1. Compare the merging congestion degree of each branch road corresponding to each main road in the current monitoring time period with the merging congestion degree of the set reference. If the merging congestion degree of a branch road corresponding to a main road in the current monitoring time period is greater than or equal to the merging congestion degree of the set reference, then the branch road is recorded as a congested branch road; otherwise, it is recorded as an idle branch road; E2. Temporarily block the congested branch roads corresponding to the main roads in the current monitoring time period in the next monitoring time period, and display a temporary blockade reminder on the electronic display screen at the entrance of each congested branch road; E3. Calculate the traffic adaptability between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road Wherein, z represents the number of the congested branch road, z=1,2,...,y, h represents the number of the target idle branch road, h=1,2,...,x; E4. The target idle branch road corresponding to the maximum traffic adaptability is used as the entry branch road for each vehicle in the entrance area of ​​each congested branch road in the next traffic time period, and an entry branch road prompt is displayed on the electronic display screen at the entrance of each congested branch road; The specific calculation process of calculating the traffic adaptability between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road is as follows: F1. According to the entrance positions of each branch road corresponding to each main road in the target urban area, the entrance positions of each congested branch road and each idle branch road corresponding to each main road are obtained, and the entrance positions are compared to obtain the travel distance between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road, which is recorded as L qzh ; F2. The congestion degree of each target idle branch road corresponding to each congested branch road corresponding to each main road in the current monitoring time period is recorded as ξ qzh ; F3. Calculate the traffic adaptability between each congested branch road corresponding to each main road and each target idle branch road corresponding to each main road Among them, L′ and ξ′ represent the set reference travel distance and merging congestion respectively, and a7 and a8 represent the weights of the set travel distance and merging congestion corresponding to the traffic adaptability evaluation respectively.

2. A smart city traffic command and monitoring system according to claim 1, characterized in that: The specific analysis process of analyzing the road congestion of each turning road corresponding to each intersection in the current traffic time period is as follows: A1. Subtract the number of vehicles entering and exiting each turning road corresponding to each intersection during the current traffic time period to obtain the number of congested vehicles on each turning road corresponding to each intersection during the current traffic time period, denoted as ε ri , where r represents the number of the intersection, r = 1, 2, ..., g, and i represents the number of the turning road, i = 1, 2, ..., n; A2. Compare the license plate numbers of the vehicles entering and exiting the turning roads corresponding to the intersections during the current traffic time period, and record the vehicles with the same license plate number as integrated vehicles; A3. According to the entry time point of each entering vehicle and the exit time point of each exiting vehicle, the entry time point and the exit time point of each comprehensive vehicle are obtained, and the time points are compared to obtain the travel time of each comprehensive vehicle in each turning road corresponding to each intersection in the current travel time period, which is recorded as T rij , where j represents the number of the integrated vehicle, j = 1, 2, ..., m; A4. Calculate the road congestion β of each turning road corresponding to each intersection during the current traffic time period ri , Among them, ε′ and T′ represent the set reference number of congested vehicles and travel time, respectively, a1 and a2 represent the weights of the road congestion assessment corresponding to the set number of congested vehicles and travel time, respectively, and m represents the total number of vehicles.

3. A smart city traffic command and monitoring system according to claim 2, characterized in that: The green light duration corresponding to each turn signal light at each intersection in the next traffic time period is regulated, and the specific regulation process is as follows: B1. Record the green light duration of each turn signal light at each intersection in the target city area during the current traffic time period as B2. Extract the reference floating green light duration corresponding to the unit road congestion difference from the cloud database and record it as T0; B3. Set the green light duration of each turn signal light at each intersection during the next traffic time period Among them, β′ represents the road congestion of the set reference; B4. In summary, The value of is used as the green light duration corresponding to each turn signal light at each intersection in the next traffic time period.

4. A smart city traffic command and monitoring system according to claim 1, characterized in that: The traffic information includes the number of vehicles entering the area and the number of vehicles leaving the area, as well as the license plate number and the entry time of each vehicle entering the area and the license plate number and the exit time of each vehicle leaving the area.

Images