An Interpretable Machine Learning-Based Analysis of Vehicle Yielding During Pedestrian-Vehicle Interactions at Unsignalized Intersections
Author:
Affiliation:
1. School of Transportation and Logistics, Southwest Jiaotong University,National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Chengdu,Sichuan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422669.pdf?arnumber=10422669
Reference23 articles.
1. Global status report on road safety 2018;Geneva, Switzerland: World Health Organization,2018
2. Prediction of pedestrians’ wait-or-go decision using trajectory data based on gradient boosting decision tree
3. Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model
4. An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles?
5. Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice
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