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.
Modelling and Optimizing City Traffic Using an Agent Platform
Algorithms for Intelligent Systems
Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications ; Chapter : 71 ; 861-868
2022-02-14
8 pages
Article/Chapter (Book)
Electronic Resource
English
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