Expressway Traffic Incident Detection Using a Deep Learning Approach Based on Spatiotemporal Features with Multilevel Fusion-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Expressway Traffic Incident Detection Using a Deep Learning Approach Based on Spatiotemporal Features with Multilevel Fusion

Published:2024-06 Issue:6 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Qu Qikai¹,Shen Yongjun²,Yang Miaomiao¹,Zhang Rui¹,Zhang Huansong¹

Affiliation:

1. Ph.D. Candidate, School of Transportation, Southeast Univ., Nanjing 211189, China.

2. Professor, School of Transportation, Southeast Univ., Nanjing 211189, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8001

Reference41 articles.

1. Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic Regression

2. Abdel-Aty M. and L. Wang. 2017. “Implementation of variable speed limits to improve safety of congested expressway weaving segments in microsimulation.” In Vol. 27 of Proc. Transportation Research Procedia 20th EURO Working Group on Transportation Meeting EWGT 2017 577–584. Amsterdam Netherlands: Elsevier. https://doi.org/10.1016/j.trpro.2017.12.061.

3. Real-time prediction of visibility related crashes

4. Road congestion and incident duration;Adler M. W.;Econ. Transp.,2013

5. A data fusion framework for real-time risk assessment on freeways;Ahmed M.;Transp. Res. Part C Emerging Technol.,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP