Identification and Improvement of Hazard Scenarios in Non-Motorized Transportation Using Multiple Deep Learning and Street View Images

Yiwen Wang, Di Liu () and Jiameng Luo
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Yiwen Wang: School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
Di Liu: School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen 518107, China
Jiameng Luo: School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China

IJERPH, 2022, vol. 19, issue 21, 1-25

Abstract: In the prioritized vehicle traffic environment, motorized transportation has been obtaining more spatial and economic resources, posing potential threats to the travel quality and life safety of non-motorized transportation participants. It is becoming urgent to improve the safety situation of non-motorized transportation participants. Most previous studies have focused on the psychological aspects of pedestrians and cyclists exposed to the actual road environment rather than quantifying the objective safety hazards, which has led to a non-rigorous evaluation of their basic safety situation. An integrated processing approach is proposed to comprehensively and objectively evaluate the overall safety level of non-motorized transportation participants on each road segment. Our main contributions include (1) the universal approach is established to automatically identify hazard scenarios related to non-motorized transportation and their direct causing factors from street view images based on multiple deep learning models; (2) a seed points spreading algorithm is designed to convert semantic images into target detection results with detail contour, which breaks the functional limitation of these two types of methods to a certain extent; (3) The safety situation of non-motorized transportation on various road sections in Gulou District, Nanjing, China has been evaluated and based on this, a series of suggestions have been put forward to guide the better adaptation among multiple transportation participants.

Keywords: non-motorized transportation; multiple deep learning; hazard scenarios; street view images; seed points spreading + PSPNet algorithm (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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