Route guidance system using multi-agent reinforcement learning
Nowadays, the problems of urban traffic in most big cities are more complex. Increasing population and road requirements has caused the complexity in traffic management systems. The main challenge for network traffic is to direct vehicles to their destination with the aim of reducing travel times an...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Published: |
2011
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Online Access: | http://eprints.utm.my/id/eprint/46233/ http://dx.doi.org/10.1109/CITA.2011.5999388 |
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Institution: | Universiti Teknologi Malaysia |