Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM

Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM

As a large proportion of road accidents occur at intersections, monitoring traffic safety of intersections is important. Existing approaches are designed to investigate accidents in lane-based traffic. However, such approaches are not suitable in a lane-less mixed-traffic environment where vehicles...

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Bibliographic Details
Main Authors: Fukuda, A. (Author), Ishizaka, T. (Author), Mohan, C.K (Author), Roy, D. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Antennas
Behavior analysis
Driving behavior analyse
Driving behavior analysis
Driving behaviour
Highway accidents
Interaction analysis
Long short-term memory
LSTM
Memory network
Motor transportation
Siamese network
Siamese networks
social force model
Social force models
Trajectories
Vehicle interaction analyse
vehicle interaction analysis
Vehicle interactions
Vehicles
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