Spatial-temporal pricing for ride-sourcing platform with reinforcement learning

•Develop reinforcement learning enhanced agent-based modeling & simulation framework.•Integrate simulation environment with proximal policy optimization algorithm.•Build feed-forward critic and actor neural networks to seek the optimal pricing strategy.•Tackle spatial-temporal pricing problem fo...

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Vydané v:	Transportation research. Part C, Emerging technologies Ročník 130; s. 103272
Hlavní autori:	Chen, Chuqiao, Yao, Fugen, Mo, Dong, Zhu, Jiangtao, Chen, Xiqun (Michael)
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2021
Predmet:	Agent-based modeling and simulation Proximal policy optimization (PPO) Reinforcement learning Ride-sourcing Spatial–temporal pricing Agent-based modeling and simulation Proximal policy optimization (PPO) Spatial–temporal pricing Reinforcement learning Ride-sourcing
ISSN:	0968-090X, 1879-2359
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