Abstract
Traffic congestion is a major problem in today’s society, and the intersection, as an important hub of urban traffic, is one of the most common places to produce traffic congestion. To alleviate the phenomenon of congestion at urban traffic intersections and relieve the traffic pressure at intersections, this paper takes the traffic flow at intersections as the research object and adopts the swarm intelligent algorithm to establish an optimization model of intersection traffic signal timing, which takes the average delay time of vehicles, the average number of stops of vehicles and the traffic capacity as the evaluation indexes. This model adjusts the intersection traffic signal timing intelligence according to the real-time traffic flow and carries out simulation experiments with MATLAB. Compared with the traditional timing schemes, the average delay time of vehicles is reduced by 10.25%, the average number of stops of vehicles is reduced by 24.55%, and the total traffic capacity of the intersection is increased by 3.56%, which verifies that the scheme proposed in this paper is effective in relieving traffic congestion.
Highlights
The collective behavior of social insects through simple cooperation is called “swarming intelligence (SI)”
In the traffic signal timing problem, the signal phase can be regarded as different ants, and the traffic flow and green time of each phase can be regarded as the stimulus value of the external environment
According to calculation, during the period of 8:00–12:00, compared with the fixed timing scheme, the average delay time of vehicles is reduced by 22.01% in the timing scheme optimized by the ant colony labor division model, the average number of stops of vehicles is reduced by 40.92%, and the road capacity is increased by 24.37%
Summary
The collective behavior of social insects through simple cooperation is called “swarming intelligence (SI)”. With taking the real-time traffic condition of the intersection as the research object, the optimization model of traffic signal timing of the intersection is established based on the evaluation index of the delay time of vehicles, the number of stops of vehicles, and the traffic capacity. This model is able to adjust the traffic signal timing intelligently according to real-time traffic conditions, reduce the conflict between traffic flows and alleviate the phenomenon of urban traffic congestion.
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