An extension of the Payne-Whitham model is developed for road network graphs with traffic signals and applied via surrogate models and Differential Evolution to optimize signal timings for higher average speeds and shorter queues.
Multiagent Reinforce- ment Learning for Integrated Network of Adaptive Traffic Signal Con- trollers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto
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A Payne-Whitham model of urban traffic networks in the presence of traffic lights and its application to traffic optimisation
An extension of the Payne-Whitham model is developed for road network graphs with traffic signals and applied via surrogate models and Differential Evolution to optimize signal timings for higher average speeds and shorter queues.