T-shaped intersection traffic design method based on multi-objective optimization

Abstract

The invention provides a T-shaped intersection traffic design method based on multi-objective optimization, and the method comprises the steps: obtaining an estimated expectation Ex1, entropy and hyper-entropy according to the waiting time x1 of a person and the waiting time x1 of a vehicle under different traffic design schemes, and generating a normal random number b11 with En1 as the expectation and He1 as a standard deviation; generating a normal random number b1 taking Ex1 as an expected value and b11 as a standard deviation according to the normal random number b11; similarly, according to the waiting time of the vehicle, obtaining a corresponding expectation Ex2, entropy, hyper-entropy, a normal random number b22 and a normal random number b2; and calculating to obtain a determination degree Y, (x1, x2, Y) , which is taken as a cloud droplet, constructing a cloud model taking the waiting time of people and the waiting time of vehicles as input and taking the determination degree as output, and obtaining an optimal solution of the traffic design method through searching by using a particle swarm algorithm. The method has the beneficial effects that after the traffic at the T-shaped intersection is redesigned, the high traffic capacity of the road is ensured, and the land utilization rate and the traffic trip can be well considered.

Description

technical field [0001] The invention relates to the field of road traffic, in particular to a multi-objective optimization-based design method for T-shaped intersection traffic. Background technique [0002] With the rapid development of the economy, the number of urban vehicles is increasing, but the existing traffic resources are limited, and the problem of urban traffic congestion is becoming more and more serious. Urban roads are the main arteries of urban traffic, and each road level intersection is a key link, which affects the entire urban traffic. Urban roads are the main arteries of urban traffic, and each road level intersection is a key link, which affects the entire urban traffic. T-shaped intersection is one of the key points in the urban traffic network. In the current research on signal timing of T-shaped intersections, Du Yipeng (2011) used the signal timing optimization software Synchro to design, optimize and evaluate specific intersections for common T-s...

AI Technical Summary

Problems solved by technology

The existing T-shaped intersection traffic signal light setting method, pedestrian crosswalk setting method and single-objective optimization method can no longer meet the requirements of urban traffic development and changes in terms of real-time, high efficiency, and integrity.

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