MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction
Author:
Affiliation:
1. School of Computing, KAIST, Daejeon, South Korea
2. Department of Computer Science, UIUC, Urbana, IL, USA
Funder
Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant funded by the Korea Government (MSIT)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10086684/10023949.pdf?arnumber=10023949
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1. Regulated applications for the road transportation infrastructure: The case study of the smart tachograph in the European Union
2. Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones
3. The Hazardous Expressway Sections for Drowsy Driving Using Digital Tachograph in Truck
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