Route Optimization via Environment-Aware Deep Network and Reinforcement Learning

@article{Guo2021RouteOV,
  title={Route Optimization via Environment-Aware Deep Network and Reinforcement Learning},
  author={Pengzhan Guo and Keli Xiao and Zeyang Ye and Wei Zhu},
  journal={ACM Trans. Intell. Syst. Technol.},
  year={2021},
  volume={12},
  pages={74:1-74:21}
}
Vehicle mobility optimization in urban areas is a long-standing problem in smart city and spatial data analysis. Given the complex urban scenario and unpredictable social events, our work focuses on developing a mobile sequential recommendation system to maximize the profitability of vehicle service providers (e.g., taxi drivers). In particular, we treat the dynamic route optimization problem as a long-term sequential decision-making task. A reinforcement-learning framework is proposed to… 

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