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Application of metaheuristics for signal optimisation in transportation networks: A comprehensive survey
With rapid population growth, there is an urgent need for intelligent traffic control techniques in urban transportation networks to improve network performance. In an urban transportation network, traffic signals have a significant effect on reducing congestion, improving safety, and improving envi...
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Published in: | Swarm and evolutionary computation 2021-06, Vol.63, p.100865, Article 100865 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | With rapid population growth, there is an urgent need for intelligent traffic control techniques in urban transportation networks to improve network performance. In an urban transportation network, traffic signals have a significant effect on reducing congestion, improving safety, and improving environmental pollution. In recent years, researchers have applied metaheuristic techniques for signal timing optimisation as one of the practical solutions to enhance the performance of the transportation networks. Theis study presents a comprehensive survey of such techniques and tools used in the optimisation of signals in transportation networks, providing a categorisation of approaches, discussion, and suggestions for future research. |
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ISSN: | 2210-6502 |
DOI: | 10.1016/j.swevo.2021.100865 |