Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/85223
Título: | Traffic light optimization of an intersection: a portuguese case study |
Autor(es): | Silva, Gonçalo Oliveira Rocha, Ana Maria A. C. Witeck, Gabriela Rosa Silva, António José Linhares Durães, Dalila Machado, José Manuel |
Palavras-chave: | Particle swarm optimization Simulation of urban mobility Traffic lights |
Data: | 2022 |
Editora: | Springer, Cham |
Revista: | Communications in Computer and Information Science |
Citação: | Silva, G.O., Rocha, A.M.A.C., Witeck, G.R., Silva, A., Durães, D., Machado, J. (2022). Traffic Light Optimization of an Intersection: A Portuguese Case Study. In: Pereira, A.I., Košir, A., Fernandes, F.P., Pacheco, M.F., Teixeira, J.P., Lopes, R.P. (eds) Optimization, Learning Algorithms and Applications. OL2A 2022. Communications in Computer and Information Science, vol 1754. Springer, Cham. https://doi.org/10.1007/978-3-031-23236-7_15 |
Resumo(s): | 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/85223 |
ISBN: | 978-3-031-23235-0 |
e-ISBN: | 978-3-031-23236-7 |
DOI: | 10.1007/978-3-031-23236-7_15 |
ISSN: | 1865-0929 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-23236-7_15 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Traffic_light_optimization_revised.pdf | 1,78 MB | Adobe PDF | Ver/Abrir |