A study of trajectory selection based on pedestrian willingness in extreme situations
Author:
Affiliation:
1. Xi’an Jiaotong-Liverpool University,School of Intelligent,Suzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10140173/10140194/10140420.pdf?arnumber=10140420
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3. Exploring the integration of urban road planning and traffic engineering design;xiaomin;Smart City,2020
4. Pedestrian Trajectory Prediction in Graph Representation Using Convolutional Neural Networks
5. Trajectory Length Prediction for Intelligent Traffic Signaling: A Data-Driven Approach
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