Intelligent urban traffic optimizing method and system

Abstract

The invention discloses an intelligent urban traffic optimizing method and system. The method comprises the following steps: S1) periodically recording driving information of vehicles on the basis ofa satellite locating function of a vehicle-mounted GPS device; S2) acquiring the driving information of vehicles per preset period and forming habit driving data sets; S3) integrating the habit driving data sets of each vehicle acquired in step S2, thereby acquiring the traffic flow of each traffic road section in each period of time; S4) performing periodic statistics on the amount of non-motor vehicles and pedestrians on the basis of images shot by monitoring cameras at each traffic intersection, thereby forming the passenger distribution amount at each traffic intersection in each period oftime; S5) adjusting traffic lights at each traffic intersection in divided periods according to the traffic flow acquired in step S3 and the passenger distribution amount acquired in step S4, whereinthe traffic lights are used for respectively directing motor vehicles and non-motor vehicles. The traffic lights at traffic intersections are controlled by regions and periods, so that the optimization for road traffic is realized.

Description

technical field [0001] The invention relates to the technical field of urban traffic optimization, in particular to a method and system for optimizing urban traffic. Background technique [0002] Urban traffic refers to the public travel and the transportation of passengers and goods between the road (ground, underground, elevated, waterway, ropeway, etc.) systems in cities (including urban and suburban areas). With the advancement of science and technology and the development of industry, with the rapid development of the economy 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 brings huge pressure to the urban traffic network, especially to the road intersections in the urban traffic network. As the intersection of two or more roads, a road intersection is a necessary place for vehicles and pedestrians to gather, turn and ...

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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