Traffic signal control method based on image detection and improved density wave model

Abstract

For solving the problem that current intersection signal control cannot consider the queuing length and a traffic flow model at the same time so that discharging of vehicles is influenced, the invention provides a traffic signal control method based on image detection and an improved density wave model. The traffic signal control method has the advantages of designing a complete multi-channel image detection scheme, taking an FPGA chip as a detection and processing center for the vehicle queuing length in each direction of an intersection to complete quick acquisition and processing of images in each direction of the intersection and extraction of the vehicle queuing length and the pedestrian information in each direction of the intersection, setting a complete traffic Green Conflict constraint, establishing an optimization index function and a multi-vehicle following constraint traffic flow model, utilizing a two-step method corresponding to optimization of discharging of vehicles at the intersection and dependence on the traffic flow model time to perform optimization timing of traffic signals, completing a complete period of traffic signal control optimization design, and improving the vehicle discharging efficiency at the intersection the same time.

Description

technical field [0001] The invention relates to a traffic signal control method based on image detection and improved density wave model, which belongs to signal processing, communication technology and traffic signal control technology. Background technique [0002] In recent years, with the great increase in the number of various means of transportation, facilities, roads, and traffic management systems in many countries in the world have been difficult to adapt to this speed of development, especially in large and medium-sized cities with insufficient traffic infrastructure and traffic signal control. Inconsistency, lack of traffic guidance system, confusion of vehicle dispatching and management, and weak awareness of traffic regulations among traffic participants have led to urban traffic congestion, which in turn has triggered a series of social problems such as traffic safety and environmental pollution. Economic problems; for this reason, many scholars at home and abr...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the existing intersection signal control cannot simultaneously consider the queuing length and traffic flow model, which affects the efficiency of vehicle release, the present invention proposes a traffic signal control method based on image detection and improved density wave model. This method designs a complete The multi-channel image detection scheme, and the FPGA chip is used as the detection and processing center of the vehicle queuing length in all directions at the intersection to complete the rapid image acquisition, image processing, vehicle queuing length and pedestrian information extraction in all directions of the intersection; at the same time, set A complete traffic "green conflict" constraint is established, an optimization index function and a multi-vehicle follow-up constraint traffic flow model are established, and the optimal timing of traffic signals is optimized by using the two-step method of vehicle optimization at intersections and time correspondence depending on the traffic flow model. Complete a complete cycle of traffic signal control optimization design; improve the efficiency of vehicle clearance at intersections

Images