A smart transportation intelligent remote monitoring and dispatching system

Abstract

The present invention belongs to the technical field of intelligent remote monitoring and dispatching of smart transportation, and relates to an intelligent remote monitoring and dispatching system for smart transportation. The present invention reduces vehicle waiting time, improves road traffic efficiency, and reduces traffic conflicts and congestion by obtaining traffic signal light dispatching information of each time period at each traffic intersection in the target area. By dynamically adjusting the traffic signal light dispatching information of each traffic signal light in the target area to change the traffic signal light dispatching information of the traffic intersection, it helps to adapt to the traffic demand of the current time period and current road conditions, and reduces the risk of traffic conflicts and collisions caused by the inconsistency between the traffic data of the current time period and the historical data. By obtaining the traffic signal light dispatching information of each traffic signal light guiding the intersection in the target area, it helps to achieve coordinated control between signal lights, forming a "green wave" effect, so that vehicles can pass through multiple intersections continuously, reduce the number of stops and starts, and improve traffic fluency.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart transportation intelligent remote monitoring and dispatching, and relates to a smart transportation intelligent remote monitoring and dispatching system. Background Art

[0002] As the global urbanization process continues to accelerate, the urban population is growing rapidly, and the pressure on urban traffic is increasing. A large number of people and vehicles are concentrated in a limited urban space, leading to increasingly serious problems such as traffic congestion and frequent accidents. In order to cope with the traffic challenges brought by urbanization, more efficient and intelligent traffic management methods are needed. Therefore, the intelligent remote monitoring and dispatching system of smart transportation is of great significance and role.

[0003] In the prior art, there are also some related solutions involving intelligent traffic monitoring and dispatching. For example, the invention patent application of a traffic intelligent dispatching road monitoring system based on Internet of Things technology with Chinese Patent Publication No. CN113053098B includes a pedestrian monitoring module, a lane monitoring module, a lane warning module, a lane deceleration information display screen and an information storage module, which are all connected to the data center processing module. Through real-time monitoring of pedestrian information, lane traffic flow and vehicle speed, early warning is given to vehicles within a certain distance near the crosswalk where no traffic lights are set, reminding the driver that there are pedestrians passing ahead and the estimated time of pedestrian crossing, so that the vehicle can slow down in advance to avoid accidents of colliding with pedestrians, thereby ensuring traffic safety near crosswalks where no traffic lights are set.

[0004] Another invention patent application for a smart traffic congestion status monitoring method with a Chinese patent publication number of CN112967494A includes: S1: obtaining lateral and longitudinal traffic flow at an intersection, S2: controlling the lateral and longitudinal passage time of traffic lights according to the lateral and longitudinal traffic flow. The provided smart traffic congestion status monitoring method can manage traffic in special traffic areas, especially at intersections, to avoid traffic congestion. The provided smart traffic congestion status monitoring method improves the image processing rate through image processing. The provided smart traffic congestion status monitoring method further improves traffic efficiency by setting tidal lanes.

[0005] Although the above scheme proposes some solutions for smart traffic monitoring and scheduling, it still has certain limitations: on the one hand, the existing scheme lacks advance timing of the signal cycle duration of traffic lights and the duration of various types of traffic lights, which is not conducive to reducing vehicle waiting time and illegally improving road traffic efficiency, and thus cannot reduce traffic conflicts and congestion.

[0006] On the other hand, the existing solutions ignore the traffic demand of the current time period and current road conditions, and thus cannot reduce the risk of traffic conflicts and vehicle collisions caused by the inconsistency between the traffic data of the current time period and the historical data, which is not conducive to reducing the incidence of traffic accidents, reducing traffic congestion, and improving the overall traffic capacity of the road. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, a smart transportation intelligent remote monitoring and dispatching system is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a smart transportation intelligent remote monitoring and dispatching system, including: a historical data analysis module, a traffic light dispatching information acquisition module, a traffic data parsing module, a traffic light dispatching change traffic intersection acquisition module, a traffic light guidance parsing module and a cloud database.

[0009] The historical data analysis module is used to record the traffic conditions at the locations of the traffic lights in the target area as the traffic intersections in the target area, extract the basic information data and historical traffic data of the east-west roads and north-south roads corresponding to the traffic intersections in the target area from the cloud database, and analyze the congestion index correction factors of the east-west roads and north-south roads corresponding to the traffic intersections in the target area and the congestion index of each time period of each traffic intersection in the target area.

[0010] The traffic light scheduling information acquisition module is used to obtain the traffic light scheduling information of each time period at each traffic intersection in the target area, wherein the traffic light scheduling information includes the duration of the traffic light cycle and the duration of each type of traffic light.

[0011] The traffic data analysis module is used to perform real-time detection of vehicles on the east-west roads and north-south roads at each traffic intersection in the target area, obtain traffic data on the east-west roads and north-south roads at each traffic intersection in the target area within the current time period, and analyze the congestion index of each traffic intersection in the target area within the current time period.

[0012] The traffic light scheduling change traffic intersection acquisition module is used to acquire each traffic light scheduling change traffic intersection in the target area, and obtain the traffic light scheduling information of each traffic light scheduling change traffic intersection in the target area.

[0013] The traffic light guidance parsing module is used to record each traffic intersection within a set range corresponding to each traffic light scheduling change traffic intersection in the target area as each traffic light guidance intersection in the target area, and further obtain traffic light scheduling information of each traffic light guidance intersection in the target area.

[0014] The cloud database is used to store the congestion index correction factor impact index corresponding to each road type and the congestion index correction factor impact index corresponding to each reference vehicle model ratio, store the total loss time corresponding to the east-west roads and north-south roads at each traffic intersection in the target area, store each traffic light scheme corresponding to each traffic light cycle duration corresponding to each congestion index, and store the phase difference corresponding to each congestion index reference ratio.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention reveals the traffic volume and congestion conditions in each time period by analyzing the congestion index correction factors of the east-west roads and north-south roads corresponding to each traffic intersection in the target area and the congestion index of each time period at each traffic intersection in the target area, which helps to optimize the timing of traffic lights, reduce waiting time, improve traffic efficiency, and provide a scientific basis for formulating traffic management strategies.

[0016] 2. The present invention obtains traffic light dispatching information at each traffic intersection in the target area at each time period based on the congestion index at each traffic intersection in the target area, which helps to reduce vehicle waiting time, improve road traffic efficiency, ensure smooth conversion of traffic flow between different directions, reduce traffic conflicts and congestion, and also provide pedestrians with sufficient time to cross the road, reducing safety hazards caused by rushing or waiting for too long.

[0017] 3. The present invention analyzes the congestion index of each traffic intersection in the target area within the current time period, obtains the traffic intersections where traffic lights are scheduled to be changed in the target area, and obtains the traffic light scheduling information thereof, and dynamically adjusts the duration of the green, red and yellow lights of the traffic lights according to the real-time congestion index and the correction factor, which helps to adapt to the traffic demand of the current time period and the current road conditions, reduces the risk of traffic conflicts and vehicle collisions caused by the inconsistency between the traffic data of the current time period and the historical data, and thus helps to reduce the incidence of traffic accidents, reduce traffic congestion, and improve the overall traffic capacity of the road.

[0018] 4. The present invention obtains the traffic light dispatching information of each traffic light-guided intersection in the target area, which helps to achieve coordinated control between traffic lights, forming a "green wave" effect, allowing vehicles to pass through multiple intersections continuously, reducing the number of stops and starts, and thus improving traffic fluency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] 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.

[0020] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0021] Figure 2 It is a schematic diagram of the system process implementation of the present invention. DETAILED DESCRIPTION

[0022] 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.

[0023] See also Figure 1 As shown, the present invention provides a smart remote monitoring and dispatching system for smart transportation, and the specific modules are distributed as follows: historical data analysis module, traffic light dispatching information acquisition module, traffic data parsing module, traffic light dispatching change traffic intersection acquisition module, traffic light guidance parsing module and cloud database. Among them, the connection mode between the modules is: the historical data analysis module is connected to the traffic light dispatching information acquisition module, the traffic light dispatching information acquisition module is connected to the traffic data parsing module, the traffic data parsing module is connected to the traffic light dispatching change traffic intersection acquisition module, the traffic light dispatching change traffic intersection acquisition module is connected to the traffic light guidance parsing module, and the cloud database is respectively connected to the historical data analysis module, the traffic light dispatching information acquisition module and the traffic data parsing module.

[0024] It needs to be further explained that the system process implementation diagram is as follows Figure 2 shown.

[0025] The historical data analysis module is used to record the traffic conditions at the locations of the traffic lights in the target area as the traffic intersections in the target area, extract the basic information data and historical traffic data of the east-west roads and north-south roads corresponding to the traffic intersections in the target area from the cloud database, and analyze the congestion index correction factors of the east-west roads and north-south roads corresponding to the traffic intersections in the target area and the congestion index of each time period of each traffic intersection in the target area.

[0026] As a preferred feasibility example, the basic information data of the east-west roads and the north-south roads corresponding to each traffic intersection in the target area includes the road type and the number of lanes.

[0027] It should be noted that the road types include but are not limited to expressways, main roads, secondary roads and branch roads.

[0028] It is necessary to further explain that the reason why the road type and number of lanes are used as the basic information data for the east-west roads and north-south roads at each traffic intersection in the target area is: (1) The road type reflects the design standards, traffic capacity and usage characteristics of the road, and is one of the basic data for traffic planning. Different road types have different functions and positions in the traffic network, and the road type directly affects traffic efficiency. For example, expressways and trunk roads can significantly improve traffic efficiency due to their high speed and high traffic capacity.

[0029] (2) The number of lanes is an important indicator for measuring road capacity and directly affects the road traffic volume and traffic efficiency. Reasonable configuration and optimization of the number of lanes can improve road capacity and traffic efficiency.

[0030] It needs to be further explained that the specific method of obtaining the road type and the number of lanes of the east-west roads and the north-south roads corresponding to each traffic intersection in the target area is: directly obtain the road type and the number of lanes of the east-west roads and the north-south roads corresponding to each traffic intersection in the target area from the traffic management bureau of the target area in advance.

[0031] The historical traffic data corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area include the traffic volume, driving speed, vehicle queue length, saturation flow rate, flow ratio, passenger flow and vehicle type ratio of each entrance road at each date and time period.

[0032] It is necessary to further explain that the reason for using the traffic volume, driving speed, vehicle queue length, saturation flow rate, flow ratio, passenger flow and vehicle type ratio of each entrance road at each date and time period as the historical traffic data of each traffic intersection in the target area corresponding to the east-west road and the north-south road is: (1) Traffic volume, that is, the number of vehicles passing through a specified section of the road per unit time, is a basic indicator for evaluating road traffic conditions. By analyzing the historical traffic volume data, we can understand the traffic pressure of each traffic intersection in the target area on different dates and time periods, providing an important reference for traffic planning and management.

[0033] (2) Driving speed reflects the speed of road traffic flow and is an important indicator for evaluating road traffic efficiency and traffic conditions. By analyzing historical driving speed data, we can determine the degree of road congestion at different times and dates, as well as the effectiveness of traffic signal control. At the same time, driving speed data can also be used for traffic flow prediction and traffic signal optimization.

[0034] (3) The length of vehicle queues refers to the length of space occupied by parked vehicles on the road. It is an important indicator of the degree of congestion at an intersection. By analyzing historical queue length data, we can intuitively understand the operation of the intersection and the changes in traffic pressure at different times and dates. In addition, queue length data can also provide a reference for optimizing signal timing design to alleviate traffic congestion.

[0035] (4) Saturation flow rate refers to the maximum flow rate that can pass through the entrance under all green light conditions. It is an important indicator for evaluating the traffic capacity of an intersection. By analyzing historical saturation flow rate data, we can understand the upper limit of the traffic capacity of the intersection under different conditions, providing a scientific basis for traffic signal control and traffic organization. At the same time, saturation flow rate data can also be used to evaluate the effectiveness of traffic improvement measures.

[0036] (5) The traffic ratio refers to the ratio of the actual traffic volume of a traffic flow to the saturated capacity of the traffic flow. It is an important indicator reflecting the road service level and can represent the traffic supply relationship of an intersection. By analyzing historical traffic ratio data, it is possible to determine the traffic load of an intersection at different times and dates, and whether there is a risk of traffic congestion. When the traffic ratio is close to or exceeds 1, it means that the intersection has approached or reached saturation, and appropriate traffic management measures need to be taken to alleviate congestion.

[0037] (6) By analyzing passenger flow data, we can evaluate the proportion of green travel modes such as walking and cycling, and provide a reference for optimizing the urban transportation structure.

[0038] (7) Different vehicle types have different impacts on road capacity and traffic safety. By analyzing the proportion of vehicle types, targeted traffic management measures can be formulated.

[0039] It needs to be further explained that the specific method for obtaining the traffic volume at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period is: using cameras arranged on the roads to monitor each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period, and using image processing technology to count the number of motor vehicles at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period, and divide the obtained number of motor vehicles at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period by the time period, and record the quotient as the traffic volume at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period.

[0040] The specific method for obtaining the driving speed of each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each time period on each date is as follows: using cameras arranged on the road to measure the speed of each motor vehicle at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each time period on each date, to obtain the speed of each motor vehicle at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each time period on each date, and further perform mean processing on the speed to obtain the average speed of the motor vehicles at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each time period on each date, and record it as the driving speed of each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each time period on each date.

[0041] The specific method for obtaining the length of the vehicle queue at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period is as follows: using cameras arranged on the road to monitor each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period, wherein the intersection is used as the starting position and the parking space of the last motor vehicle is used as the ending position, and using image processing technology to obtain the length of the road section from the starting position to the ending position of the motor vehicles at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period, and record it as the length of the vehicle queue at each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period.

[0042] The specific method for obtaining the saturated flow rate of each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period is as follows: using cameras arranged on the roads to monitor each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period, using image extraction technology to obtain the number of motor vehicles passing through the stop line at each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area within each unit time of each date and each time period, and recording it as the saturated flow rate of each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each unit time of each date and each time period, and further obtaining the mode of the saturated flow rate per unit time as the saturated flow rate of each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and each time period.

[0043] The specific method for obtaining the flow rate ratio of each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area corresponding to each time period on each date is: ratio the vehicle flow rate of each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area corresponding to each time period on each date to the saturation flow rate, and the obtained quotient is recorded as the flow rate ratio of each entrance road of the east-west roads and the north-south roads at each traffic intersection in the target area corresponding to each time period on each date.

[0044] As a specific example, the vehicle flow rate of a certain inlet is 20 vehicles / minute, and the saturation flow rate is 30 vehicles / minute, then the flow ratio of the inlet is 20 / 30=0.67.

[0045] The specific method for obtaining the flow of people at each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and time period is as follows: using cameras arranged on the roads to monitor each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and time period, and using image processing technology to count the number of pedestrians at each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and time period, and dividing the number of pedestrians at each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and time period by the time period, and recording the quotient as the flow of people at each entrance road corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area at each date and time period.

[0046] The specific method for obtaining the vehicle type ratio of each entrance road of each east-west road and north-south road at each traffic intersection in the target area on each date and at each time period is as follows: using cameras arranged on the roads to monitor each entrance road of each east-west road and north-south road at each traffic intersection in the target area on each date and at each time period, and using image processing technology to count the number of license plates of each color at each entrance road of each east-west road and north-south road at each traffic intersection in the target area on each date and at each time period, and further performing ratio calculation on the ratio with the total number of license plates, and the obtained quotient is recorded as the vehicle type ratio of each color license plate at each entrance road of each east-west road and north-south road at each traffic intersection in the target area on each date and at each time period, which are further collectively referred to as the vehicle type ratio of each entrance road of each east-west road and north-south road at each traffic intersection in the target area on each date and at each time period.

[0047] It should be explained that the license plates of various colors include but are not limited to yellow plates, blue plates, green plates and white plates.

[0048] The ratio of vehicle types with license plates of different colors is the ratio of vehicle types with yellow license plates, blue license plates, green license plates and white license plates.

[0049] In a specific example, the number of yellow-plate cars, blue-plate cars, green-plate cars and white-plate cars are 2, 8, 10 and 3 respectively, then the model of each color license plate is .

[0050] As a preferred feasibility example, the congestion index correction factors corresponding to the east-west roads and north-south roads at each traffic intersection in the target area are specifically analyzed in the following manner: extracting the road types corresponding to the east-west roads at each traffic intersection in the target area, and determining the congestion index correction factor influence index corresponding to the road types corresponding to the east-west roads at each traffic intersection in the target area. ,in , is the number of each traffic intersection, is the number of traffic intersections.

[0051] It needs to be further explained that the specific method for determining the congestion index correction factor influence index corresponding to the road type of the east-west roads at each traffic intersection in the target area is: matching the road type of the east-west roads at each traffic intersection in the target area with the congestion index correction factor influence index corresponding to each road type stored in the cloud database, and then obtaining the congestion index correction factor influence index corresponding to the road type of the east-west roads at each traffic intersection in the target area.

[0052] Extract the vehicle type ratio of each entrance road corresponding to the east-west road at each traffic intersection in the target area at each date and time period, and determine the congestion index correction factor impact index corresponding to the reference vehicle type ratio of each traffic intersection corresponding to the east-west road in the target area. .

[0053] It needs to be further explained that the specific method for determining the congestion index correction factor influence index corresponding to the reference vehicle type ratio of the east-west roads at each traffic intersection in the target area is as follows: extract the vehicle type ratio of each entrance road of the east-west roads at each traffic intersection in the target area corresponding to each date and time period, and average them to obtain the average vehicle type ratio of the entrance road of the east-west roads at each traffic intersection in the target area corresponding to the date and time period, and record it as the reference vehicle type ratio of the east-west roads at each traffic intersection in the target area, and match it with the congestion index correction factor influence index corresponding to each reference vehicle type ratio stored in the cloud database, so as to obtain the congestion index correction factor influence index corresponding to the reference vehicle type ratio of the east-west roads at each traffic intersection in the target area.

[0054] Extract the number of lanes of the east-west roads corresponding to each traffic intersection in the target area , extract the passenger flow of each entrance road corresponding to the east-west road at each traffic intersection in the target area at each date and time period, and then determine the reference passenger flow of each traffic intersection corresponding to the east-west road in the target area .

[0055] It should be further explained that the specific method for determining the reference passenger flow of each traffic intersection corresponding to the east-west road in the target area is: extract the passenger flow of each entrance road corresponding to the east-west road in each traffic intersection of the target area at each date and time period ,in , is the number of each entrance, is the number of inlet channels, , is the number of each date, is the number of dates, , is the number of each time period, according to the calculation formula Get the reference flow of people at each traffic intersection in the target area corresponding to the east-west road .

[0056] Analyze the congestion index correction factor of each traffic intersection in the target area corresponding to the east-west road ,in It is the maximum passenger flow at the entrance of the traffic intersection in the preset target area under non-congested conditions.

[0057] Similarly, the basic information correction factor of each traffic intersection in the target area corresponding to the north-south road can be obtained .

[0058] As a preferred feasibility example, the congestion index of each traffic intersection in the target area at each time period is specifically analyzed by extracting the traffic volume, driving speed and vehicle queue length of each entrance road corresponding to the east-west road and the north-south road of each traffic intersection in the target area at each time period on each date, respectively recorded as and ,in , is the number of each entrance, is the number of inlet channels, , is the number of each date, is the number of dates, , The number of each time period.

[0059] Analyze the congestion index of each traffic intersection in the target area at each time period ,in They are respectively the maximum traffic flow, minimum driving speed and maximum vehicle queue length of the entrance road of the traffic intersection in the preset target area under non-congested conditions.

[0060] The present invention analyzes the congestion index correction factors of the east-west roads and north-south roads at each traffic intersection in the target area and the congestion index of each time period at each traffic intersection in the target area, thereby revealing the traffic flow and congestion situation in each time period, which helps to optimize the timing of traffic lights, reduce waiting time, improve traffic efficiency, and provide a scientific basis for formulating traffic management strategies.

[0061] The traffic light scheduling information acquisition module is used to obtain the traffic light scheduling information of each time period at each traffic intersection in the target area, wherein the traffic light scheduling information includes the duration of the traffic light cycle and the duration of each type of traffic light.

[0062] As a preferred feasibility example, the traffic light scheduling information of each traffic intersection in the target area at each time period is obtained in a specific manner including: extracting the flow ratio of each entrance road of each traffic intersection corresponding to the east-west road and the north-south road at each traffic intersection in the target area at each time period on each date, and determining the flow ratio of each entrance road of each traffic intersection corresponding to the east-west road and the north-south road at each traffic intersection in the target area at each time period , according to the Webster method calculation formula Get the duration of the signal light cycle at each time period at each traffic intersection in the target area ,in is the first The total loss time of east-west roads and north-south roads corresponding to each traffic intersection.

[0063] It should be explained that the total loss time refers to the total amount of time that cannot be used for vehicles to pass due to factors such as signal conversion and startup loss in a signal cycle. The total loss time reflects the inevitable time waste in the signal conversion process. Including it in the calculation can make the signal timing design more accurate.

[0064] As a preferred feasibility example, the traffic light scheduling information for each time period at each traffic intersection in the target area, and its specific acquisition method also includes: matching the congestion index of each time period at each traffic intersection in the target area with each signal light scheme corresponding to each signal light cycle duration in the cloud database, to obtain the signal light scheme for each time period at each traffic intersection in the target area corresponding to the east-west road, wherein the signal light scheme includes various signal light durations.

[0065] It should be further explained that the various types of traffic lights include but are not limited to red lights, green lights and yellow lights corresponding to going straight, turning left and turning right.

[0066] The present invention obtains traffic light scheduling information at each traffic intersection in the target area at each time period based on the congestion index at each traffic intersection in the target area, which helps to reduce vehicle waiting time, improve road traffic efficiency, ensure that traffic flow can be smoothly switched between different directions, reduce traffic conflicts and congestion, and also provide pedestrians with sufficient time to cross the road, reducing safety hazards caused by rushing or waiting for too long.

[0067] The traffic data analysis module is used to perform real-time detection of vehicles on the east-west roads and north-south roads at each traffic intersection in the target area, obtain traffic data on the east-west roads and north-south roads at each traffic intersection in the target area within the current time period, and analyze the congestion index of each traffic intersection in the target area within the current time period.

[0068] As a preferred feasibility example, the traffic data corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area during the current time period include the traffic flow, driving speed, vehicle queue length, flow ratio, passenger flow and vehicle type ratio of each entrance road.

[0069] It needs to be further explained that the specific method for obtaining the traffic flow, driving speed, vehicle queue length, flow ratio, passenger flow and vehicle type ratio of each entrance road of the east-west roads and north-south roads corresponding to each traffic intersection in the target area during the current time period is: the method for obtaining the traffic flow, driving speed, vehicle queue length, flow ratio, passenger flow and vehicle type ratio of each entrance road of the east-west roads and north-south roads corresponding to each traffic intersection in the same target area on each date and time period can obtain the traffic flow, driving speed, vehicle queue length, flow ratio, passenger flow and vehicle type ratio of each entrance road of the east-west roads and north-south roads corresponding to each traffic intersection in the target area during the current time period.

[0070] As a preferred feasibility example, the specific analysis method of the congestion index of each traffic intersection in the target area within the current time period includes: extracting the traffic volume, driving speed and vehicle queue length of each entrance road corresponding to the east-west road and the north-south road of each traffic intersection in the target area within the current time period, and analyzing the congestion index of each traffic intersection in each time period in the target area, so as to obtain the congestion index of each traffic intersection in the target area within the current time period.

[0071] Further, by using the method for obtaining the signal light cycle duration at each time period at each traffic intersection in the target area, the signal light cycle duration at each traffic intersection in the target area in the current time period can be obtained.

[0072] The traffic light scheduling change traffic intersection acquisition module is used to acquire each traffic light scheduling change traffic intersection in the target area, and obtain the traffic light scheduling information of each traffic light scheduling change traffic intersection in the target area.

[0073] As a preferred feasibility example, the traffic intersections where traffic light scheduling is changed in the target area are specifically obtained in the following manner: the traffic light cycle durations of the traffic intersections in the target area corresponding to the current time period are selected from the traffic light cycle durations of the traffic intersections in the target area in each time period, and the traffic light cycle durations are recorded as reference traffic light cycle durations of the traffic intersections in the target area in the current time period, and the reference traffic light cycle durations are further compared with the traffic light cycle durations of the traffic intersections in the target area in the current time period; if the reference traffic light cycle duration of a traffic intersection in the target area in the current time period is inconsistent with the traffic light cycle duration of its corresponding traffic intersection, the traffic intersection in the target area is recorded as the traffic intersection where traffic light scheduling is changed in the target area, thereby obtaining the traffic intersections where traffic light scheduling is changed in the target area.

[0074] As a preferred feasibility example, the traffic light scheduling information of the traffic intersections where the traffic light scheduling of each traffic light in the target area is changed is specifically obtained in the following way: the traffic light scheduling information of each traffic intersection in the target area can be used to obtain the traffic light scheduling information of the traffic intersections where the traffic light scheduling of each traffic intersection in the target area is changed.

[0075] The present invention analyzes the congestion index of each traffic intersection in the target area within the current time period, obtains the traffic intersections where traffic light scheduling is changed in the target area, and obtains its traffic light scheduling information, and dynamically adjusts the green, red and yellow light durations of the traffic lights according to the real-time congestion index and the correction factor, which helps to adapt to the traffic demand of the current time period and current road conditions, reduces the risk of traffic conflicts and vehicle collisions caused by the inconsistency between the traffic data of the current time period and the historical data, and is further conducive to reducing the incidence of traffic accidents, reducing traffic congestion, and improving the overall traffic capacity of the road.

[0076] The traffic light guidance parsing module is used to record each traffic intersection within a set range corresponding to each traffic light scheduling change traffic intersection in the target area as each traffic light guidance intersection in the target area, and further obtain traffic light scheduling information of each traffic light guidance intersection in the target area.

[0077] As a preferred feasibility example, the traffic light scheduling information of each traffic light-guided intersection in the target area is specifically obtained in the following manner: the congestion index of each traffic light-guided intersection in the target area is obtained by screening the congestion index of each traffic light-guided intersection in the target area within the current time period, and the phase difference between each traffic light-guided intersection in the target area and its corresponding traffic intersection with traffic light scheduling change is further adjusted accordingly to obtain the traffic light scheduling information of each traffic light-guided intersection in the target area.

[0078] It should be explained that the phase difference refers to the time interval between the changes in the states of the corresponding direction signal lights at two intersections.

[0079] It needs to be further explained that the specific operation of adjusting the phase difference between each traffic light-guided intersection in the target area and its corresponding traffic light scheduling change traffic intersection is: respectively comparing the congestion index of each traffic light-guided intersection in the target area with the congestion index of its corresponding traffic light scheduling change traffic intersection, to obtain the ratio of the congestion index of each traffic light-guided intersection in the target area and the congestion index of its corresponding traffic light scheduling change traffic intersection, and record it as the congestion index reference ratio of each traffic light-guided intersection in the target area, and then match the congestion index reference ratio of each traffic light-guided intersection in the target area with the phase difference corresponding to each congestion index reference ratio stored in the cloud database, to obtain the phase difference between each traffic light-guided intersection in the target area and its corresponding traffic light scheduling change traffic intersection.

[0080] The specific method for acquiring the traffic light scheduling information of each traffic light-guided intersection in the target area is as follows: the traffic light scheduling information includes the traffic light cycle duration and the durations of various types of traffic lights, and then according to the phase difference between each traffic light-guided intersection in the target area and its corresponding traffic light scheduling-changed traffic intersection, the traffic light cycle duration and the durations of various types of traffic lights of each traffic light-guided intersection in the target area corresponding to the traffic light scheduling-changed traffic intersection are increased or decreased to obtain the traffic light cycle duration and the durations of various types of traffic lights of each traffic light-guided intersection in the target area.

[0081] The cloud database is used to store the congestion index correction factor influence index corresponding to each road type and the congestion index correction factor influence index corresponding to each reference vehicle model ratio, store the total loss time corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area, store each traffic light scheme corresponding to each traffic light cycle duration corresponding to each congestion index, and store the phase difference corresponding to each congestion index reference ratio.

[0082] The present invention helps to achieve coordinated control between traffic lights by acquiring traffic light scheduling information at each traffic light-guided intersection in the target area, forming a "green wave" effect, allowing vehicles to pass through multiple intersections continuously, reducing the number of stops and starts, and thus improving traffic fluency.

[0083] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field 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 should all fall within the protection scope of the present invention.

Claims

1. A smart transportation intelligent remote monitoring and dispatching system, characterized by: include: A historical data analysis module is used to record the traffic conditions at the locations of the traffic lights in the target area as the traffic intersections in the target area, extract basic information data and historical traffic data of the east-west roads and north-south roads at the traffic intersections in the target area from the cloud database, and analyze the congestion index correction factors of the east-west roads and north-south roads at the traffic intersections in the target area and the congestion index of each time period at each traffic intersection in the target area; A traffic light scheduling information acquisition module is used to obtain the traffic light scheduling information of each time period at each traffic intersection in the target area, wherein the traffic light scheduling information includes the duration of the signal light cycle and the duration of each type of signal light; The traffic data analysis module is used to perform real-time detection of vehicles on east-west roads and north-south roads at each traffic intersection in the target area, obtain traffic data on east-west roads and north-south roads at each traffic intersection in the target area in the current time period, and analyze the congestion index of each traffic intersection in the target area in the current time period; A traffic light scheduling change traffic intersection acquisition module is used to acquire each traffic light scheduling change traffic intersection in the target area, and obtain traffic light scheduling information of each traffic light scheduling change traffic intersection in the target area; A traffic light guidance parsing module is used to record each traffic intersection within a set range corresponding to each traffic light scheduling change traffic intersection in the target area as each traffic light guidance intersection in the target area, and further obtain traffic light scheduling information of each traffic light guidance intersection in the target area; A cloud database is used to store the congestion index correction factor influence index corresponding to each road type and the congestion index correction factor influence index corresponding to each reference vehicle type ratio, store the total loss time of each traffic intersection in the target area corresponding to the east-west road and the north-south road, store each congestion index corresponding to each signal light cycle duration corresponding to each signal light scheme, and store the phase difference corresponding to each congestion index reference ratio; The basic information data of east-west roads and north-south roads corresponding to each traffic intersection in the target area includes road type and number of lanes; The historical traffic data of east-west roads and north-south roads corresponding to each traffic intersection in the target area include the traffic volume, driving speed, vehicle queue length, saturation flow rate, flow ratio, passenger flow and vehicle type ratio of each entrance road at each date and time period; The traffic data corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area during the current time period include the traffic volume, driving speed, vehicle queue length, traffic ratio, passenger flow and vehicle type ratio of each entrance road; The congestion index correction factors corresponding to the east-west roads and the north-south roads at each traffic intersection in the target area are analyzed in the following specific ways: Extract the road types corresponding to the east-west roads at each traffic intersection in the target area, and determine the congestion index correction factor influence index FactorT corresponding to the road types corresponding to the east-west roads at each traffic intersection in the target area. i 1 , where i = 1, 2, ..., a, i is the number of each traffic intersection, and a is the number of traffic intersections; Extract the vehicle type ratio of each entrance road corresponding to the east-west road at each traffic intersection in the target area at each date and time period, and determine the congestion index correction factor influence index FactorM corresponding to the reference vehicle type ratio of each traffic intersection corresponding to the east-west road in the target area. i 1 ; Extract the number of lanes of the east-west roads corresponding to each traffic intersection in the target area Extract the passenger flow of each entrance road corresponding to the east-west road of each traffic intersection in the target area at each date and time period, and then determine the reference passenger flow FlowP of each traffic intersection corresponding to the east-west road in the target area i 1 ; Analyze the congestion index correction factor of each traffic intersection in the target area corresponding to the east-west road FlowP0 is the maximum flow of people at the entrance of the traffic intersection in the preset target area under non-congested conditions; Similarly, the basic information correction factor of each traffic intersection in the target area corresponding to the north-south road can be obtained The specific analysis method of the congestion index of each traffic intersection in the target area at each time period includes: The traffic volume, driving speed and vehicle queue length of each entrance road corresponding to the east-west road and the north-south road of each traffic intersection in the target area at each date and time period are extracted and recorded as and Where j = 1, 2, ..., b, j is the number of each entrance, b is the number of entrances, f = 1, 2, ..., c, f is the number of each date, c is the number of dates, g = 1, 2, ..., 24, g is the number of each time period; Analyze the congestion index of each traffic intersection in the target area at each time period Flow0, V0, and L0 are respectively the maximum traffic flow, minimum driving speed, and maximum vehicle queue length of the entrance road of the traffic intersection in the preset target area under non-congested conditions; The traffic light dispatching information of each time period at each traffic intersection in the target area is obtained in a specific manner including: Extract the traffic ratio of each entrance road of each traffic intersection corresponding to the east-west road and the north-south road in the target area at each time period on each date, and determine the traffic ratio of each entrance road of each traffic intersection corresponding to the east-west road and the north-south road in the target area at each time period According to the Webster method calculation formula Get the cycle duration of the traffic lights at each time period at each traffic intersection in the target area ig ,in is the total loss time corresponding to the east-west road and the north-south road of the i-th traffic intersection in the target area extracted from the cloud database; The traffic light dispatching information of each time period at each traffic intersection in the target area is obtained in a specific manner including: The congestion indexes of each traffic intersection in the target area at each time period are matched with the signal light schemes corresponding to each signal light cycle duration in the cloud database to obtain the signal light schemes of each time period of each traffic intersection in the target area corresponding to the east-west road, where the signal light schemes include the duration of each type of signal light; The congestion index of each traffic intersection in the target area during the current time period is specifically analyzed in the following manner: The traffic volume, driving speed and vehicle queue length of each entrance road of each traffic intersection corresponding to the east-west road and the north-south road in the target area in the current time period are extracted, and the congestion index of each traffic intersection in the target area in each time period is analyzed, so as to obtain the congestion index of each traffic intersection in the target area in the current time period; Further, by using the method for obtaining the cycle duration of the signal lights at each time period at each traffic intersection in the target area, the cycle duration of the signal lights at each traffic intersection in the target area in the current time period can be obtained; The specific acquisition method of the traffic intersections where the traffic lights in the target area are changed includes: The signal light cycle duration of each traffic intersection in the target area corresponding to the current time period is selected from the signal light cycle durations of each time period at each traffic intersection in the target area, and is recorded as the reference signal light cycle duration of each traffic intersection in the target area in the current time period, and is further compared with the signal light cycle durations of each traffic intersection in the target area in the current time period. If the reference signal light cycle duration of a traffic intersection in the target area in the current time period is inconsistent with the signal light cycle duration of its corresponding traffic intersection, the traffic intersection in the target area is recorded as the traffic light scheduling change traffic intersection in the target area, thereby obtaining the traffic light scheduling change traffic intersections in the target area.

2. According to claim 1, the intelligent remote monitoring and dispatching system for smart transportation is characterized by: The traffic light scheduling information of each traffic intersection in the target area where the traffic light scheduling is changed is specifically obtained in the following manner: the traffic light scheduling information of each traffic intersection in the target area can be used to obtain the traffic light scheduling information of each traffic intersection in the target area.

3. According to claim 2, the intelligent remote monitoring and dispatching system for smart transportation is characterized in that: The traffic light dispatching information of each traffic light-guided intersection in the target area is obtained in a specific manner including: The congestion index of each traffic light-guided intersection in the target area is obtained by screening the congestion index of each traffic intersection in the target area within the current time period, and the phase difference between each traffic light-guided intersection in the target area and its corresponding traffic intersection with traffic light scheduling change is further adjusted accordingly to obtain the traffic light scheduling information of each traffic light-guided intersection in the target area.

Images