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  • Search: subject:"Computational graph"
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Subject
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Artificial intelligence 2 Künstliche Intelligenz 2 Algorithm 1 Algorithmus 1 Computational graph 1 Computational graph (CG) 1 Computerized method 1 Computerunterstützung 1 Demand 1 Diverted demand 1 Ex-post demand 1 Graph theory 1 Graphentheorie 1 Holiday behaviour 1 Induced demand 1 Machine learning (ML) 1 Multiple discrete–continuous extreme value (MDCEV) model 1 Nachfrage 1 Preiselastizität 1 Price elasticity 1 Railway passenger demand 1 Railway transport 1 Schienenverkehr 1 Theorie 1 Theory 1 Time use 1 Time-allocation mechanism 1 Transportzeit 1 Travel behavior 1 Travel time 1 Urlaubsverhalten 1 Zeitverwendung 1 computational graph 1 curbside management 1 dynamic origin-destination demand estimation 1 dynamic traffic assignment 1 mesoscopic traffic simulation 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Du, Wenbo 1 Fu, Huiling 1 Kim, Taehooie 1 Liu, Jiachao 1 Liu, Yan 1 Ma, Yilin 1 Qian, Sean 1 Saleh, Khaled 1 Tong, Lu (Carol) 1 Wang, Xinyu 1 Wu, Xin 1 Xi, Qian 1 Xiong, Chenfeng 1
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Transportation research : an international journal 2 Transportation science 1
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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Traveler time allocation between activities and travel : a computational graph-infused machine learning framework with bi-mode MDCEV model
Liu, Yan; Tong, Lu (Carol); Xi, Qian; Ma, Yilin; Du, Wenbo - In: Transportation research : an international journal 200 (2025), pp. 1-24
Persistent link: https://www.econbiz.de/10015451210
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Simultaneous estimation of induced, diverted, and ex-post demand for railway passengers : an interpretable machine learning framework based on constrained computational graphs
Wu, Xin; Wang, Xinyu; Kim, Taehooie; Saleh, Khaled; Fu, … - In: Transportation research : an international journal 202 (2025), pp. 1-43
Persistent link: https://www.econbiz.de/10015451857
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Modeling multimodal curbside usage in dynamic networks
Liu, Jiachao; Qian, Sean - In: Transportation science 58 (2024) 6, pp. 1277-1299
Persistent link: https://www.econbiz.de/10015359285
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