A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment design (English)
- New search for: He, Qing
- New search for: Gao, Tianci
- New search for: Gao, Yan
- New search for: Li, Huailong
- New search for: Schonfeld, Paul
- New search for: Zhu, Ying
- New search for: Li, Qilong
- New search for: Wang, Ping
- New search for: He, Qing
- New search for: Gao, Tianci
- New search for: Gao, Yan
- New search for: Li, Huailong
- New search for: Schonfeld, Paul
- New search for: Zhu, Ying
- New search for: Li, Qilong
- New search for: Wang, Ping
In:
Tramsportation Research, Part C: Emerging Technologies
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147
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2022
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ISSN:
- Article (Journal) / Electronic Resource
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Title:A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment design
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Contributors:He, Qing ( author ) / Gao, Tianci ( author ) / Gao, Yan ( author ) / Li, Huailong ( author ) / Schonfeld, Paul ( author ) / Zhu, Ying ( author ) / Li, Qilong ( author ) / Wang, Ping ( author )
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Published in:
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Publisher:
- New search for: Elsevier Ltd
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Publication date:2022-12-22
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 147
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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A framework for strategic online en-route operations: Integrating traffic flow and strategic conflict managementsLiu, Ziang / Xiao, Gang / Mao, Jizhi et al. | 2022
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A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment designHe, Qing / Gao, Tianci / Gao, Yan / Li, Huailong / Schonfeld, Paul / Zhu, Ying / Li, Qilong / Wang, Ping et al. | 2022
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Joint scheduling and formation design for modular-vehicle transit service with time-dependent demandTian, Qingyun / Lin, Yun Hui / Wang, David Z.W. et al. | 2022
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Optimal electric bus fleet scheduling for a route with charging facility sharingJi, Jinhua / Bie, Yiming / Wang, Linhong et al. | 2022
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Reliability of the traffic network against cascading failures with individuals acting independently or collectivelyDuan, Jinxiao / Li, Daqing / Huang, Hai-Jun et al. | 2023
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Visual extensions and anomaly detection in the pNEUMA experiment with a swarm of dronesKim, Sohyeong / Anagnostopoulos, Georg / Barmpounakis, Emmanouil / Geroliminis, Nikolas et al. | 2022
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Coordinated lane-changing scheduling of multilane CAV platoons in heterogeneous scenariosLiu, Qingquan / Lin, Xi / Li, Meng / Li, Li / He, Fang et al. | 2022
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Multi-task supply-demand prediction and reliability analysis for docked bike-sharing systems via transformer-encoder-based neural processesXu, Meng / Di, Yining / Yang, Hai / Chen, Xiqun / Zhu, Zheng et al. | 2023
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Editorial Board| 2023
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Bicycle sharing station planning: From free-floating to geo-fencingCai, Yutong / Ong, Ghim Ping / Meng, Qiang et al. | 2022
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Departure time choices in the morning commute with a mixed distribution of capacityLiu, Qiumin / Jiang, Rui / Liu, Wei / Gao, Ziyou et al. | 2022
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Capturing positive network attributes during the estimation of recursive logit models: A prism-based approachOyama, Yuki et al. | 2023