Risk-Aware Travel Path Planning Algorithm Based on Reinforcement Learning during COVID-19
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- Fu, Liping & Rilett, L. R., 1998. "Expected shortest paths in dynamic and stochastic traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 499-516, September.
- Ryan, Cian & Murphy, Finbarr & Mullins, Martin, 2020. "Spatial risk modelling of behavioural hotspots: Risk-aware path planning for autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 152-163.
- Khani, Alireza & Boyles, Stephen D., 2015. "An exact algorithm for the mean–standard deviation shortest path problem," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 252-266.
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Keywords
urban traffic; path generation; reinforcement learning; resident travel; COVID-19; restricted search;All these keywords.
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