Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires
https://orcid.org/0000-0002-1414-8204
https://orcid.org/0000-0002-7903-4806
https://orcid.org/0000-0002-2983-1751
Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires
https://orcid.org/0000-0002-1414-8204
https://orcid.org/0000-0002-7903-4806
https://orcid.org/0000-0002-2983-1751
Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires
https://orcid.org/0000-0002-1414-8204
https://orcid.org/0000-0002-7903-4806
https://orcid.org/0000-0002-2983-1751
Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires
Transportation Research Part A: Policy and Practice
Zhang, Xiaojian (Autor:in) / Zhao, Xilei (Autor:in) / Xu, Yiming (Autor:in) / Nilsson, Daniel (Autor:in) / Lovreglio, Ruggiero (Autor:in)
Transportation Research Part A: Policy and Practice ; 190 ; 104242
01.12.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Attention-Based Multiple Graph Convolutional Recurrent Network for Traffic Forecasting
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