Abstract
Increasing number of urban residents is systematically increasing the demand for smart traffic management. This contribution presents an intelligent solution for dealing with common traffic issues such as unexpected roadblocks, accidents, or public transport failures. To this effect, a city traffic simulation tool, based on software agents, which incorporates traffic management strategies is proposed and experimented with. It is experimentally shown that the proposed approach can decrease the travel time.
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References
Gildrat R (2019) In a world of autonomous vehicles, this is why we’ll need more public transport than ever. In: BigThink, July 2019. https://bigthink.com/technology-innovation/autonomous-vehicles
Pniewski R, Sellin D, Stankevich K, Ganzha M, Paprzycki M (2021) Applying software agents to make city traffic management smarter. In: Goyal D, Gupta AK, Piuri V, Ganzha M, Paprzycki M (eds) Proceedings of the second international conference on information management and machine intelligence. Lecture notes in networks and systems, vol 166. Springer, Singapore. https://doi.org/10.1007/978-981-15-9689-6_72
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Pniewski, R., Stankevich, K., Ganzha, M., Paprzycki, M. (2022). Modelling and Optimizing City Traffic Using an Agent Platform. In: Mathur, G., Bundele, M., Lalwani, M., Paprzycki, M. (eds) Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6332-1_71
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DOI: https://doi.org/10.1007/978-981-16-6332-1_71
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Online ISBN: 978-981-16-6332-1
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