Micro Artificial Immune System for Traffic Light Control

Raul Galvan-Correa,Juan Carlos Herrera-Lozada,Rodrigo Cadena-Martinez,Jacobo Sandoval-Gutierrez,Mauricio Olguin-Carbajal,Carlos Aquino-Ruíz,José Félix Serrano-Talamantes

doi:10.3390/app10217933

Raul Galvan-Correa, Juan Carlos Herrera-Lozada + Show 5 more

Open Access

https://doi.org/10.3390/app10217933

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Journal: Applied sciences	Publication Date: Nov 9, 2020
Citations: 5	License type: CC BY 4.0

Affiliation: Instituto Politécnico Nacional

Abstract

A new bio-inspired meta-heuristic, called the micro artificial immune system (MAIS), has been developed in order to reduce the rates of pollution for a specific region of Mexico City through the optimization of vehicular flow. Simulation of urban mobility (SUMO) was used to simulate the effects of the programming of the traffic lights obtained by the MAIS. Currently, pollution and travel times from one place to another are increasing due to the number of inhabitants that live in big cities, which has generated a decrease in people’s quality of life. Hence, we propose the optimization of the programming of the sequences of traffic lights through this bio-inspired meta-heuristic. The obtained results show that the MAIS outperforms most of the algorithms tested in this research.

Highlights

Vehicular traffic has grown exponentially, in an excessive way, in all the big cities of the world.Developing strategies to control or at least reduce the problems associated with vehicular traffic in large cities mainly involves solutions in two areas: the modification of infrastructure and the topology of the city, but in many cases, this is not feasible
The present paper proposes a method, referred to as the micro artificial immune system algorithm (MAIS), for the optimization of traffic cycle programming based on an artificial immune system micro-algorithm, and analyzes it on a real urban topology in a very important avenue of Mexico City (Avenida Insurgentes) using meta-heuristic techniques combined with simulation with the objective of improving the vehicular flow and reducing the emission of pollutants into the environment
In this work we present the micro artificial immune system algorithm (MAIS) as an alternative to solve the problem of traffic light control and it is not the intention, at least for the moment, to compare it with other mathematical methods

Summary

Introduction

Vehicular traffic has grown exponentially, in an excessive way, in all the big cities of the world.Developing strategies to control or at least reduce the problems associated with vehicular traffic in large cities mainly involves solutions in two areas: the modification of infrastructure and the topology of the city, but in many cases, this is not feasible. Researchers have developed other strategies to deal with the problem of vehicular traffic. One of these is the control of traffic lights. The proper use of synchronization in traffic lights is a viable option to support the reduction of pollutant emissions throughout the city. SUMO has a large number of support tools that are responsible for finding transport routes, vehicle traffic visualization, and calculation of pollutant emissions. One of the main advantages of the software being open source is that it offers the opportunity to implement any algorithm to determine the programming of the traffic lights. SUMO is not software only for traffic simulation, it offers tools that allow analyzing the performance of the programming implemented in the road network. It is possible to import a map of a road network that is digital from an original map view (see Figure 1a) and the SUMO network (see Figure 1b)

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