A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 (author) / Zhao, Xilei (author) / Xu, Yiming (author) / Nilsson, Daniel (author) / Lovreglio, Ruggiero (author)
Transportation Research Part A: Policy and Practice ; 190 ; 104242
2024-12-01
Article (Journal)
Electronic Resource
English
Attention-Based Multiple Graph Convolutional Recurrent Network for Traffic Forecasting
| DOAJ | 2023
Travel Demand Forecasting Procedures 1982
| NTIS | 1982
Travel demand forecasting 2014 ; Vol. 1
TIBKAT | 2014
Travel demand forecasting 2013 ; Vol. 2
TIBKAT | 2013