A deep reinforcement learning-based intelligent intervention framework for real-time proactive road safety management-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A deep reinforcement learning-based intelligent intervention framework for real-time proactive road safety management

Published:2022-02 Issue: Volume:165 Page:106512
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Roy Ananya,Hossain Moinul,Muromachi Yasunori

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference51 articles.

1. Applying Variable Speed Limits and the Potential for Crash Mitigation;Abdel-Aty;Transp. Res. Rec.,2006

2. Evaluation of Variable Speed Limits for Real-time Freeway Safety Improvement;Abdel-Aty;Accid. Anal. Prev.,2006

3. Considering various ALINEA ramp metering strategies for crash risk mitigation on freeways under congested regime;Abdel-Aty;Transp. Res. Part C: Emerg. Technol.,2007

4. Crash risk assessment using intelligent transportation systems data and real-time intervention strategies to improve safety on freeways;Abdel-Aty;J. Intell. Transp. Syst.,2007

5. Real-time crash risk reduction on freeways using coordinated and uncoordinated ramp metering approaches;Abdel-Aty;J. Transp. Eng.,2010

Cited by 20 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. Enhancing multi-scenario applicability of freeway variable speed limit control strategies using continual learning;Accident Analysis & Prevention;2024-09

2. Application of Deep Learning for Automatic Identification of Hazardous Materials and Urban Safety Supervision;Journal of Organizational and End User Computing;2024-07-30

3. Method for detecting defects in direct metal deposition using a neural network;Laser + Photonics for Advanced Manufacturing;2024-06-20

4. Deep Q‐network learning‐based active speed management under autonomous driving environments;Computer-Aided Civil and Infrastructure Engineering;2024-06-03

5. Fuzzy-logic-based collision risk model to evaluate the safety of signalized intersections at the cycle level;2024-04-22

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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3