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Open AccessArticle

Modified Driving Safety Field Based on Trajectory Prediction Model for Pedestrian–Vehicle Collision

1
Department of Transportation, Nanjing University of Science and Technology, Nanjing 210094, China
2
State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
3
College of Information and Communication, National University of Defense Technology, Xian 710106, China
4
Department of Education Technology, School of Educational Science Anhui Normal University, Wuhu 241000, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(22), 6254; https://doi.org/10.3390/su11226254
Received: 7 September 2019 / Revised: 9 October 2019 / Accepted: 15 October 2019 / Published: 7 November 2019
Pedestrian–vehicle collision is an important component of traffic accidents. Over the past decades, it has become the focus of academic and industrial research and presents an important challenge. This study proposes a modified Driving Safety Field (DSF) model for pedestrian–vehicle risk assessment at an unsignalized road section, in which predicted positions are considered. A Dynamic Bayesian Network (DBN) model is employed for pedestrian intention inference, and a particle filtering model is conducted to simulate pedestrian motion. Driving data collection was conducted and pedestrian–vehicle scenarios were extracted. The effectiveness of the proposed model was evaluated by Monte Carlo simulations running 1000 times. Results show that the proposed risk assessment approach reduces braking times by 18.73%. Besides this, the average value of TTC−1 (the reciprocal of time-to-collision) and the maximum TTC−1 were decreased by 28.83% and 33.91%, respectively. View Full-Text
Keywords: driving safety field; risk assessment; pedestrian–vehicle collision; pedestrian trajectory prediction driving safety field; risk assessment; pedestrian–vehicle collision; pedestrian trajectory prediction
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MDPI and ACS Style

Wu, R.; Zheng, X.; Xu, Y.; Wu, W.; Li, G.; Xu, Q.; Nie, Z. Modified Driving Safety Field Based on Trajectory Prediction Model for Pedestrian–Vehicle Collision. Sustainability 2019, 11, 6254.

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