Adaptive control traffic system based on genetic algorithms

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: No

Education area(s): Enginyeria de la Seguretat Informàtica i Intel·ligència Artificial

Title in different languages: Adaptive control traffic system based on genetic algorithms

Abstract: From the beginning of the road traffic, the infrastructures and regulations have evolved with the objective of being adapted to the increasingly volume of vehicles and its interaction with pedestrians. Traffic lights were developed aimed to automate the traffic regulation in road intersections and the police officers were replaced by traffic lights geared by automated regulators. This solutions have evolved towards complex systems where many parameters are taking into account and are ,in general, managed from a control center. Usually, these kind of infrastructures has large implementation costs and maintenance expenses and are not feasible in many cases. This paper proposes a solution based on genetic algorithms were each traffic light regulator has it own intelligent agent, which learns from traffic data and takes time distribution decisions in a decentralized way, based only on its own parameters taken from the environment.

Subject: Enginyeria informàtica

Academic year: 2020-2021

Language: en

Work's public defense date: 2021-09-14

Subject areas: Computer engineering

Student: Barrero Díaz, Miguel Ángel

Department: Enginyeria Informàtica i Matemàtiques

Creation date in repository: 2022-05-19

Keywords: Genetic algorithms,Traffic management,Artificial intelligence

Title in original language: Adaptive control traffic system based on genetic algorithms

Access Rights: info:eu-repo/semantics/openAccess

Project director: Duch Gavaldá, Jordi