2022
Silva, G. O.; Rocha, A. M. A. C.; Witeck, G. R.; Silva, A.; Durães, D.; Machado, J.
Traffic Light Optimization of an Intersection: A Portuguese Case Study Proceedings Article
Em: A.I., Fernandes F. P. Kosir A. Pereira (Ed.): pp. 202-214, Springer Science and Business Media Deutschland GmbH, 2022, ISSN: 18650929, (cited By 1; Conference of 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022 ; Conference Date: 24 October 2022 Through 25 October 2022; Conference Code:289139).
Resumo | Links | BibTeX | Etiquetas: Case-studies; Light cycles; Optimisations; Particle swarm; Particle swarm optimization; Simulation of urban mobility; Swarm optimization; Traffic light; Urban mobility; Urban population, Computer software, Particle swarm optimization (PSO); Population statistics; Street traffic control; Traffic congestion; Traffic signals; Urban growth
@inproceedings{Silva2022202,
title = {Traffic Light Optimization of an Intersection: A Portuguese Case Study},
author = {G. O. Silva and A. M. A. C. Rocha and G. R. Witeck and A. Silva and D. Durães and J. Machado},
editor = {Fernandes F. P. Kosir A. Pereira A.I.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148012915&doi=10.1007%2f978-3-031-23236-7_15&partnerID=40&md5=79c08f2493a1ee2d54f8046f4bcbb979},
doi = {10.1007/978-3-031-23236-7_15},
issn = {18650929},
year = {2022},
date = {2022-01-01},
journal = {Communications in Computer and Information Science},
volume = {1754 CCIS},
pages = {202-214},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Smart cities aim to rise strategies that reduce issues caused by the urban population growth and fast urbanization. Thus, traffic light optimization emerges as an important option for urban traffic management. The main goal of this study is to improve traffic light management at a specific intersection, in the City of Guimarães (Portugal), where high-intensity traffic and an active pedestrian area were observed, generating traffic queues. To achieve the goals, a simulation-based optimization strategy using the Particle Swarm Optimization combined with the Simulation of Urban Mobility software was used to minimize the average waiting time of the vehicles by determining the optimal value of the traffic light cycle. The computational results showed it is possible to decrease by 78.2% the average value of the waiting time. In conclusion, by better managing the traffic light cycle time, traffic flow without congestion or queues can be achieved. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
note = {cited By 1; Conference of 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022 ; Conference Date: 24 October 2022 Through 25 October 2022; Conference Code:289139},
keywords = {Case-studies; Light cycles; Optimisations; Particle swarm; Particle swarm optimization; Simulation of urban mobility; Swarm optimization; Traffic light; Urban mobility; Urban population, Computer software, Particle swarm optimization (PSO); Population statistics; Street traffic control; Traffic congestion; Traffic signals; Urban growth},
pubstate = {published},
tppubtype = {inproceedings}
}