Intersection resource allocation method based on self-adaptive zebra crossings

Abstract

The invention discloses an intersection resource allocation method based on a self-adaptive zebra crossing. The method comprises the steps: determining the congestion degree of a vehicle waiting areaand the congestion degree of a pedestrian waiting area through sensors; adjusting the time of the road traffic lights according to the congestion degree of the vehicle waiting area and the congestiondegree of the pedestrian waiting area, wherein the zebra crossing comprises an uplink zebra crossing and a downlink zebra crossing which are arranged in a staggered manner and consists of a ground lamp strip, and the lighting length of the ground lamp strip is adjustable from two sides of the zebra crossing to the center; taking the absolute value of the difference between the congestion degree ofthe uplink pedestrian waiting area and the congestion degree of the downlink pedestrian waiting area, wherein the absolute value of the difference value of the lighting lengths of the ground lamp strips of the uplink zebra crossing and the downlink zebra crossing is positively correlated with the absolute value of the difference value of the crowding degrees of the pedestrian waiting areas, and the sum of the lighting lengths of the ground lamp strips of the uplink zebra crossing and the downlink zebra crossing is not changed. Traffic light duration and zebra crossing width are dynamically adjusted according to traffic flow density and pedestrian flow density, and traffic efficiency is improved.

Description

technical field [0001] The invention relates to an intersection resource allocation method, in particular to an intersection resource allocation method based on an adaptive zebra crossing. Background technique [0002] With industrialization and the improvement of people's living standards, the number of motor vehicles in my country has increased significantly. By the end of 2018, it had reached 327 million vehicles, making people's travel more convenient, but traffic congestion has become more and more serious The problem. Longer and longer traffic jams, more and more common traffic accidents, and more and more pollution emissions have undoubtedly become a huge obstacle to people's better life. At the present stage, the main causes of traffic congestion are the following three aspects: 1. The growth rate of vehicle ownership is much higher than the speed of road construction and the unreasonable road network structure; 2. The distribution of vehicles is unbalanced, with veh...

AI Technical Summary

Problems solved by technology

At the present stage, the main causes of traffic congestion are the following three aspects: 1. The growth rate of vehicle ownership is much higher than the speed of road construction and the unreasonable road network structure; 2. The distribution of vehicles is unbalanced, with vehicles in the core area much higher than The peripheral area and the use time are unreasonable, and the excessive concentration of use in the morning and evening after get off work is particularly prominent in the city; 3. The focus on motor vehicles weakens non-motor vehicles and pedestrians, resulting in inconvenience and disorderly traffic.

However, the construction of speed roads cannot keep up with the increase of vehicles for a long time, and the distribution and use time of vehicles cannot be allocated and changed.

[0003] Existing solutions usually focus on improving the traffic efficiency of motor vehicles, and achieve the fastest traffic of motor vehicles by adjusting the duration of traffic lights, but they ignore the slow and random road use of pedestrians and non-motor vehicles. group

Images