A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data. (2019)
Attributed to:
Low Carbon Transitions of Fleet Operations in Metropolitan Sites (LC TRANSFORMS)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.aap.2018.10.015
PubMed Identifier: 30390519
Publication URI: http://europepmc.org/abstract/MED/30390519
Type: Journal Article/Review
Volume: 122
Parent Publication: Accident; analysis and prevention
ISSN: 0001-4575