Smart city traffic optimization method and system

Abstract

The invention discloses a smart city traffic optimization method and system, wherein the method includes the following steps: S1, periodically record the driving information of the vehicle based on the satellite positioning function of the vehicle-mounted GPS device; Summarize the driving information of the vehicles to form a habitual driving data set; S3, integrate the habitual driving data sets of each vehicle obtained in S2, and obtain the traffic flow of each traffic section at each time period; S4, based on the surveillance cameras at each traffic intersection The captured images periodically count the number of non-motor vehicles and pedestrians to form the distribution of pedestrian flow at each traffic intersection in each time period; The traffic lights at intersections are adjusted; among them, the traffic lights indicate motor vehicles and non-motor vehicles respectively. It controls the signal lights at traffic intersections in different time periods and regions, realizing the optimization of road traffic.

Description

technical field [0001] The invention relates to the technical field of urban traffic optimization, in particular to an intelligent urban traffic optimization method and system. Background technique [0002] Urban transportation refers to public travel and passenger and cargo transportation between urban (including urban and suburban) road systems (ground, underground, elevated, waterways, cableways, etc.). With the advancement of science and technology and the development of industry, with the rapid economic development and the continuous improvement of living standards, the number of motor vehicles has increased rapidly, especially private cars, which are constantly pouring into the limited urban traffic network. It has brought huge pressure to the urban traffic network, especially brought many problems to the road intersections in the urban traffic network. Road intersection, as the intersection of two or more roads, is the place where vehicles and pedestrians gather, tur...

AI Technical Summary

Problems solved by technology

[0003] At present, for the control of traffic signals at road intersections in the urban traffic network, according to the actual situation of the road intersection, the traffic flow information of each direction of the road intersection in a certain period of time in the past is calculated through software modeling or artificial statistics. Coordinate and optimize traffic signals at road intersections. For example, when investigating the refined speed of a certain road section at each time period, it usually follows the car several times on the road section to collect the travel speed, travel time and number of stops of the traffic flow. However, due to the time-consuming and labor-intensive method of follow-up surveys, the same speed is often used throughout the day to coordinate and optimize traffic signals; at the same time, limited by the number of samples, the sample data collected has a certain degree of randomness and is credible. Therefore, the coordinated optimization of traffic signals at road intersections has certain limitations.

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