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Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios
Joint Authors
Chicano, Francisco
Ferrer, Javier
García-Nieto, José
Alba, Enrique
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-08
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
In smart cities, the use of intelligent automatic techniques to find efficient cycle programs of traffic lights is becoming an innovative front for traffic flow management.
However, this automatic programming of traffic lights requires a validation process of the generated solutions, since they can affect the mobility (and security) of millions of citizens.
In this paper, we propose a validation strategy based on genetic algorithms and feature models for the automatic generation of different traffic scenarios checking the robustness of traffic light cycle programs.
We have concentrated on an extensive urban area in the city of Malaga (in Spain), in which we validate a set of candidate cycle programs generated by means of four optimization algorithms: Particle Swarm Optimization for Traffic Lights, Differential Evolution for Traffic Lights, random search, and Sumo Cycle Program Generator.
We can test the cycles of traffic lights considering the different states of the city, weather, congestion, driver expertise, vehicle’s features, and so forth, but prioritizing the most relevant scenarios among a large and varied set of them.
The improvement achieved in solution quality is remarkable, especially for C O 2 emissions, in which we have obtained a reduction of 126.99% compared with the experts’ solutions.
American Psychological Association (APA)
Ferrer, Javier& García-Nieto, José& Alba, Enrique& Chicano, Francisco. 2016. Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1112105
Modern Language Association (MLA)
Ferrer, Javier…[et al.]. Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios. Mathematical Problems in Engineering No. 2016 (2016), pp.1-19.
https://search.emarefa.net/detail/BIM-1112105
American Medical Association (AMA)
Ferrer, Javier& García-Nieto, José& Alba, Enrique& Chicano, Francisco. Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1112105
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112105