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Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning Journal article
Wang, Zhaoyuan, Pan, Zheyi, Chen, Shun, Ji, Shenggong, Yi, Xiuwen, Zhang, Junbo, Wang, Jingyuan, Gong, Zhiguo, Li, Tianrui, Zheng, Yu. Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 35(5), 5282-5295.
Authors:  Wang, Zhaoyuan;  Pan, Zheyi;  Chen, Shun;  Ji, Shenggong;  Yi, Xiuwen; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:8.9/8.8 | Submit date：2022/05/17
Metro Systems  Spatio-temporal Data  Neural Network  Deep Reinforcement Learning  Urban Computing  
Location selection for ambulance stations: A data-driven approach Conference paper
Yuhong Li, Yu Zheng, Shenggong Ji, Wenjun Wang, Leong Hou U, Zhiguo Gong. Location selection for ambulance stations: A data-driven approach[C], 2015.
Authors:  Yuhong Li;  Yu Zheng;  Shenggong Ji;  Wenjun Wang;  Leong Hou U; et al.
Favorite | TC[WOS]:13 TC[Scopus]:43 | Submit date：2019/02/12
City Planning  Emergency Medical Service