Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning.
Zhaoyuan WangZheyi PanShun ChenShenggong JiXiuwen YiJunbo ZhangJingyuan WangZhiguo GongTianrui LiYu ZhengPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- travel time
- public transport
- reinforcement learning
- vehicle routing
- public transportation
- traffic data
- road network
- traffic congestion
- traffic flow
- transportation networks
- shortest path
- state space
- urban areas
- vehicle routing problem
- scheduling problem
- dynamic routing
- transport network
- travel cost
- prediction intervals
- three dimensional
- spatial networks
- prize collecting