CN114360264A - Intelligent city traffic management method based on traffic flow regulation - Google Patents
Intelligent city traffic management method based on traffic flow regulation Download PDFInfo
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Abstract
The invention relates to the technical field of traffic planning, in particular to a traffic management method for an intelligent city based on traffic flow adjustment. The signal timing of the signal lamp is adjusted according to the traffic condition on the road, the advancing of traffic flow on the road is controlled, the traffic control at the road junction can be dynamically changed according to the actual condition, the traffic jam condition is relieved, the running efficiency of road traffic is improved, the workload of traffic police is reduced, and the traffic running cost is reduced.
Description
Technical Field
The invention relates to the technical field of traffic planning, in particular to a smart city traffic management method for adjusting based on traffic flow.
Background
Road traffic is an important component of an urban comprehensive traffic system, and the improvement of the operation efficiency can bring great economic benefits and social benefits to cities. At present, most of urban traffic is subjected to traffic control through signal lamps, and traffic flows are divided into different time periods to pass through, so that traffic conflicts are avoided. However, the existing signal lamp control is mainly timing control, and the traffic signal lamps at the road junctions are controlled to operate according to a preset timing scheme, mainly comprising single-stage timing control using only one timing scheme in one day and multi-stage timing control using several timing schemes according to traffic flows in different time periods in one day. Such a fixed-period control method is often only suitable for an environment with a stable traffic flow, but the traffic system is an uncertain system, and the traffic flow on the road is constantly in change, so that the fixed-period control is difficult to reflect the real-time traffic flow condition well, traffic jam is easily caused, and the running efficiency of road traffic is reduced.
Aiming at the phenomenon of traffic jam, most of the existing processing modes are that a traffic police conducts on-site command to control the advancing of traffic flow, so that the traffic jam condition is relieved, but the workload of the traffic police is greatly increased. In order to overcome the defects of the traffic management control, the invention provides a traffic management method capable of carrying out self-adaptive control according to real-time traffic flow.
Disclosure of Invention
The invention has the technical problems that the existing traffic system is only suitable for the environment with stable traffic flow, but the traffic flow on the traffic road is changed all the time, so that the real-time traffic flow condition is difficult to be reflected well by timing control, traffic jam is easy to cause, and the running efficiency of road traffic is reduced.
The basic scheme provided by the invention is as follows: a smart city traffic management method based on traffic flow regulation comprises the following steps:
s1: collecting road traffic flow;
s2: analyzing road saturation according to the traffic flow of the road;
s3: and setting a road optimization threshold, and adjusting the signal timing of the road intersection when the road saturation exceeds the road optimization threshold.
The principle and the advantages of the invention are as follows: in the scheme, the road saturation is analyzed by collecting the real-time traffic flow of the road, and then signal timing is carried out on signal lamps of the road intersection when the road saturation exceeds the road optimization threshold according to the set road optimization threshold. The signal timing of the signal lamp is adjusted according to the traffic condition on the road, the advancing of traffic flow on the road is controlled, the traffic control at the road junction can be dynamically changed according to the actual condition, the traffic jam condition is relieved, the running efficiency of road traffic is improved, the workload of traffic police is reduced, and the traffic running cost is reduced.
Further, in S1, the method includes the following steps:
s101: setting an observation point, and installing image acquisition equipment to acquire road images;
s102: vehicle identification is carried out according to the road image;
s103: and counting the vehicle information and calculating the traffic flow of the road.
Has the advantages that: the image recognition technology is applied, the data are collected by the image collecting equipment, and the method is low in cost and easy to implement.
Further, in S101, the observation point is set at the road intersection.
Has the advantages that: the observation points are arranged at the road intersections, the directions of traffic flow can be observed more easily, and the road intersections are usually the main positions where traffic jam occurs, and the actual conditions of the traffic jam can be observed better at the positions.
Further, in S102, the method includes the following steps:
s1021: preprocessing the acquired road image;
s1022: and carrying out vehicle identification on the preprocessed road image.
Has the advantages that: the image preprocessing technology is used for deblurring processing, noise information in the image is reduced, and the accuracy of vehicle identification is improved.
Further, in S2, the method includes the following steps:
s201: acquiring road data, wherein the road data comprises road information and road traffic capacity;
s202: and analyzing the road saturation according to the road traffic capacity and the road traffic flow.
Has the advantages that: road traffic capacity and road traffic flow can relatively accurately analyze road saturation, and road blocking conditions and service level thereof can be relatively visually reflected through the road saturation.
Further, in S3, the adjusting of the signal timing of the road intersection includes the steps of:
s301: predicting the current time point according to historical data, wherein the road intersection turns to the traffic flow of each road;
s302: and adjusting the signal timing of the road intersection according to the traffic flow of each road and the corresponding road saturation.
Has the advantages that: the traffic flow of each road turned by the road intersection is predicted through historical data, and when signal timing is carried out according to the saturation of the target road and the traffic flow to be switched, the situation that a large amount of traffic flows are switched when the saturation of the next road is high, and further blockage of the intersection is caused can be avoided.
Further, it also includes S4, the S4 includes the steps of:
s401: setting speed measuring points on each road;
s402: setting a speed measurement threshold value, and when the road saturation is higher than the speed measurement threshold value, enabling a speed measurement point to enter a dormant state; and when the road saturation is lower than the speed measurement threshold, waking up a speed measurement point to measure the speed.
Has the advantages that: when road saturation is low, the vehicle is less, and navigating mate probably improves the speed of a motor vehicle when the road vehicle is less, carries out the speed measurement this moment and can effectively detect out the overspeed vehicle.
Drawings
Fig. 1 is a step diagram of a first embodiment of a traffic flow-based urban traffic management method for regulation.
Detailed Description
The following is further detailed by way of specific embodiments:
the specific implementation process is as follows:
the invention is basically as shown in figure 1, a smart city traffic management method based on traffic flow regulation, comprising the following steps:
s1: collecting road traffic flow;
s2: analyzing road saturation according to the traffic flow of the road;
s3: and setting a road optimization threshold, and adjusting the signal timing of the road intersection when the road saturation exceeds the road optimization threshold.
The road saturation is analyzed by collecting the real-time traffic flow of the road, and then signal timing is carried out on signal lamps of the road intersection when the road saturation exceeds the road optimization threshold according to the set road optimization threshold. The signal timing of the signal lamp is adjusted according to the traffic condition on the road, the advancing of traffic flow on the road is controlled, the traffic control at the road junction can be dynamically changed according to the actual condition, the traffic jam condition is relieved, the running efficiency of road traffic is improved, the workload of traffic police is reduced, and the traffic running cost is reduced.
Specifically, the S1 includes the steps of:
s101: setting an observation point, and installing image acquisition equipment to acquire road images;
s102: preprocessing the acquired road image;
s103: carrying out vehicle identification on the preprocessed road image; s104: and counting the vehicle information and calculating the traffic flow of the road.
In this embodiment, the observation point is arranged at an intersection of an urban road, the data acquisition terminal is arranged at the observation point, the data acquisition terminal includes an image acquisition device and a wireless communication device, and road images acquired by the image acquisition device are uploaded to a police command center through the wireless communication device. The collected road image has certain motion blur due to the fact that the vehicle is in a driving state, so that the collected road image is firstly subjected to pre-processing to complete deblurring processing to obtain a processed image, and then the vehicle identification is carried out on the pre-processed road image through the existing image identification technology.
Specifically, the road image is subjected to weighted convolution filtering processing through Gaussian smoothing filtering, and then the image subjected to Gaussian smoothing filtering is subjected to motion blur processing, so that the preprocessed image is obtained. The police command center stores vehicle shape information, and compares and identifies the preprocessed road image according to the vehicle shape information, and particularly realizes the identification of vehicles in the road image. The vehicles identified in this embodiment are classified into three types, i.e., a large vehicle, a medium vehicle, and a small vehicle, and when the vehicles are counted, the traffic flow of the road is calculated by converting the traffic flow (vehicles/hour) into the traffic flow (pcu/h) according to the ratio of the small vehicle to 1, the medium vehicle to 2, and the large vehicle to 3, which are converted into the standard passenger car pcu.
S2 includes the steps of:
s201: acquiring road data, wherein the road data comprises road information and road traffic capacity;
s202: and analyzing the road saturation according to the road traffic capacity and the road traffic flow.
The road data in the embodiment is obtained from a geographic space data cloud, and the road data comprises road information and road traffic capacity; the calculation formula of the road saturation is as follows:
in the formula, Q is road saturation, Q is road traffic flow (pcu/h), and R is road traffic capacity (pcu/h). In the embodiment, the congestion condition of the road is divided into four levels according to the saturation of the road, and when the q value is between 0 and 0.6, the road is unobstructed; when the q value is between 0.6 and 0.8, the road is slightly congested; when the q value is between 0.8 and 1.0, the road is congested; when the q value is greater than 1.0, the road is heavily congested. In this embodiment, the road optimization threshold is set to 0.6, that is, when the road condition is slightly congested, the signal timing of the road intersection is adjusted.
Specifically, the signal timing of the road intersection comprises the following steps:
s301: predicting the current time point according to historical data, wherein the road intersection turns to the traffic flow of each road;
s302: and adjusting the signal timing of the road intersection according to the traffic flow of each road and the corresponding road saturation.
Specifically, the method predicts the current time point according to historical data, and the road junction turns to the traffic flow of each road, so as to infer the current traffic flow direction on the road, adjusts the signal timing of the road junction according to the road saturation of each road in the flow direction, and increases the signal timing to the road when the traffic flow ratio to the road is higher than that of other roads; when the road saturation of a road to which a certain traffic flow flows is larger than 1.0, the signal timing to the road is reduced, so that the situation that a large amount of traffic flows are carried out when the saturation of the next road is higher is avoided.
The embodiment further includes S4, where S4 includes the steps of:
s401: setting speed measuring points on each road;
s402: setting a speed measurement threshold value, and when the road saturation is higher than the speed measurement threshold value, enabling a speed measurement point to enter a dormant state; and when the road saturation is lower than the speed measurement threshold, waking up a speed measurement point to measure the speed.
The threshold value that tests the speed in this embodiment is 0.2, and when road saturation was low, the vehicle was less, and navigating mate probably improves the speed of a motor vehicle when the road vehicle was less, awakens the speed measuring point this moment and tests the speed and can effectively detect out the speeding vehicle, carries out more accurate monitoring to the traffic violation from this, and the other time is tested the speed and is located the dormancy state again, also can play energy-concerving and environment-protective beneficial effect.
Example two
The difference between the second embodiment and the first embodiment is that the second embodiment further includes S5, and the S5 includes the steps of:
s501: obtaining restaurant data around each road and analyzing to generate catering streets;
s502: recording license plate numbers and parking duration of vehicles parked on catering streets;
s503: setting a parking time zone and a parking threshold, and generating a key object according to the license plate number of the target vehicle when the parking time of the vehicle in the parking time zone exceeds the parking threshold;
s504: and arranging a vehicle checking point according to the vehicle flow direction of the catering street, and checking the vehicle according to the license plate number of the key object.
Specifically, a quantity threshold value is set in this embodiment, restaurant data around a road is collected through a geographic space data cloud, the quantity threshold value in this embodiment is 5, and when the quantity of restaurants around the road exceeds the quantity threshold value, the road is divided into restaurant streets. The method comprises the steps of setting real-time monitoring equipment for the catering streets, recording license plate numbers and parking time of vehicles parked on the catering streets, and calculating parking time and leaving time of the vehicles to obtain information of the parking time. According to analysis of historical drunk driving illegal data, the time distribution of drunk driving motor vehicles is mainly 19:00-3:00, so that the parking time zone in the embodiment is 17:00-2:00 and corresponds to a dinner time period; the stop threshold is set to 2h, corresponding to the time of the daily bureau of wine. When the parking time of the vehicle in the parking time zone exceeds the parking threshold value, the probability that the target vehicle drives the motor vehicle after drinking is greatly improved, the target vehicle is recorded as a key object at the moment, the vehicle checking point is arranged on the road in which the target vehicle mainly flows according to the vehicle flow direction of the catering street, and then the vehicle is checked according to the license plate number of the key object during vehicle checking, so that the checking and treating force of drunk drivers can be greatly improved, the workload of the workers is reduced, and the working efficiency of the workers is improved.
EXAMPLE III
The difference between the third embodiment and the second embodiment is that the third embodiment further comprises S6, and the S6 comprises the steps of:
s601: collecting vehicle traffic accident records;
s602: recording the license plate number of the vehicle in the road image;
s603: setting an accident threshold value, and judging as an accident-prone vehicle when the traffic accident recording times of the vehicle exceeds the accident threshold value;
s604: counting the ratio of the vehicles with multiple accidents on the road to the total vehicles on the road according to the license plate number and generating the accident vehicle ratio;
s605: and adjusting the road saturation according to the accident vehicle ratio.
Specifically, the vehicle traffic accident record in the embodiment is collected in a vehicle management station, and the license plate number of the road image collected at the road intersection is identified and recorded after the road image is preprocessed; then, whether the vehicle is a vehicle with multiple accidents is judged according to the vehicle traffic accident record and an accident threshold value, in the judging process, the number of times of traffic accidents of the target vehicle within two months is counted, the accident threshold value is three times, and when the number of times of the traffic accidents of the target vehicle within two months is larger than three times, the vehicle with multiple accidents is judged; then, the proportion of the vehicles with multiple accidents on the road to the total vehicles on the road is counted, an accident vehicle ratio is generated, finally, the road saturation is adjusted according to the accident vehicle ratio, the adjustment result in the embodiment is the road saturation (1+ the accident vehicle ratio), when the vehicles with multiple accidents are driven, the probability of accidents is higher, the road is more easily blocked due to bad behaviors such as blocking and vehicle leaving, and the judgment can be performed according to the adjusted road saturation, so that the actual driving condition can be better met.
The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (7)
1. A smart city traffic management method based on traffic flow regulation is characterized by comprising the following steps:
s1: collecting road traffic flow;
s2: analyzing road saturation according to the traffic flow of the road;
s3: and setting a road optimization threshold, and adjusting the signal timing of the road intersection when the road saturation exceeds the road optimization threshold.
2. The method for smart city traffic management based on traffic flow according to claim 1, wherein the step of S1 comprises the following steps:
s101: setting an observation point, and installing image acquisition equipment to acquire road images;
s102: vehicle identification is carried out according to the road image;
s103: and counting the vehicle information and calculating the traffic flow of the road.
3. The method according to claim 1, wherein the method comprises the following steps: in S101, the observation point is set at a road intersection.
4. The method for smart city traffic management based on traffic flow according to claim 1, wherein the step of S102 comprises the following steps:
s1021: preprocessing the acquired road image;
s1022: and carrying out vehicle identification on the preprocessed road image.
5. The method for smart city traffic management based on traffic flow according to claim 1, wherein the step of S2 comprises the following steps:
s201: acquiring road data, wherein the road data comprises road information and road traffic capacity;
s202: and analyzing the road saturation according to the road traffic capacity and the road traffic flow.
6. The method for smart city traffic management based on traffic flow according to claim 1, wherein in S3, adjusting the signal timing of road junction includes the steps of:
s301: predicting the current time point according to historical data, wherein the road intersection turns to the traffic flow of each road;
s302: and adjusting the signal timing of the road intersection according to the traffic flow of each road and the corresponding road saturation.
7. The method for smart city traffic management based on traffic flow according to claim 1, further comprising S4, wherein the S4 comprises the steps of:
s401: setting speed measuring points on each road;
s402: setting a speed measurement threshold value, and when the road saturation is higher than the speed measurement threshold value, enabling a speed measurement point to enter a dormant state; and when the road saturation is lower than the speed measurement threshold, waking up a speed measurement point to measure the speed.
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Application publication date: 20220415 |