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Research on the Optimization for Signal Based on Genetic Algorithm

Feifei Gao

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Abstract

The delay models of vehicles at signalized intersections are studied and a new phase timing optimization is proposed.This paper proposes the Genetic Algorithm(GA) to optimize the delay models.The goal is to minimize the average delay of vehicles at signalized intersections and considering the service level of intersection and other restrictions.For this a new model is established.The method mentioned in this paper is applied to the actual intersection in Changzhou city.

About this research paper

What this paper is about

The delay models of vehicles at signalized intersections are studied and a new phase timing optimization is proposed.This paper proposes the Genetic Algorithm(GA) to optimize the delay models.The goal is to minimize the average delay of vehicles at signalized intersections and considering the service level of intersection and other restrictions.For this a new model is established.The method mentioned in this paper is applied to the actual intersection in Changzhou city.

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Key contribution

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Method / approach

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Available abstract

The delay models of vehicles at signalized intersections are studied and a new phase timing optimization is proposed.This paper proposes the Genetic Algorithm(GA) to optimize the delay models.The goal is to minimize the average delay of vehicles at signalized intersections and considering the service level of intersection and other restrictions.For this a new model is established.The method mentioned in this paper is applied to the actual intersection in Changzhou city.

Key concepts: Intersection (aeronautics), Genetic algorithm, Signal timing, SIGNAL (programming language), Computer science, Algorithm, Optimization algorithm, Phase (matter)

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