A Deep Learning Approach to Predict Elderly and Child Pedestrian Crash Hot Spots in the Seoul Metropolitan Area-Reference-Cited by-同舟云学术

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A Deep Learning Approach to Predict Elderly and Child Pedestrian Crash Hot Spots in the Seoul Metropolitan Area

Published:2021-12-31 Issue:7 Volume:56 Page:115-127
ISSN:1226-7147
Container-title:Journal of Korea Planning Association
language:en
Short-container-title:jkpa

Author:

Jun Hee-Jung,Kang Seungyeoup,Jung Suyoung,Kim Taewan,Cho Cheol-Ho,Jhoo Won Young,Kim Ji Young,Heo Jae-Pil

Funder

Ministry of Science and ICT

Institute for Information and communication Technology Planning and evaluation

Publisher

Korea Planners Association

Subject

General Medicine

Reference47 articles.

1. The Traffic Accident Characteristics and Reduction Methods of Elderly Pedestrian in Accordance with the Advent of the Aging Society -Focused on Jeju

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Factors associated with pedestrian-vehicle collision hotspots involving seniors and children: a deep learning analysis of street-level images;International Journal of Urban Sciences;2023-11-16

2. An Application of Deep Learning for Detecting Bicycle Collision Hotspots;Journal of Korea Planning Association;2022-12-31

3. Priority-Setting Methodology of Qualitative and Quantitative Analyses for Pedestrian Road Construction: Case Study of a National Highway in South Korea;Sustainability;2022-12-01

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