Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using vehicular trajectory data to explore risky factors and unobserved heterogeneity during lane-changing

Published:2021-03 Issue: Volume:151 Page:105871
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Chen Qinghong,Gu Ruifeng^ORCID,Huang Helai,Lee Jaeyoung^ORCID,Zhai Xiaoqi,Li Ye

Funder

National Natural Science Foundation of China

Central South University

Publisher

Elsevier BV

Subject

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

Reference54 articles.

1. Models of freeway lane changing and gap acceptance behavior;Ahmed,1996

2. A Policy on Geometric Design of Highways and Streets (Green Book);American Association of State Highway and Transportation Officials (AASHTO),2011

3. Key feature selection and risk prediction for lane-changing behaviors based on vehicles’ trajectory data;Chen;Accid. Anal. Prev.,2019

4. A note on generalized ordered outcome models;Eluru;Anal. Methods Accid. Res.,2015

5. Next Generation Simulation (NGSIM);FHWA,2006

Cited by 44 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. A Joint Spatiotemporal Prediction and Image Confirmation Model for Vehicle Trajectory Concatenation With Low Detection Rates;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. Vehicle Lane-Changing scenario generation using time-series generative adversarial networks with an Adaptative parameter optimization strategy;Accident Analysis & Prevention;2024-09

3. A Bi-level Risk-constrained Optimization (BRO) Model for Autonomous Driving Trajectory Planning at On-ramp Areas^*;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. Investigating gap acceptance behavior based on correlated random parameter survival model with heterogeneity in means;Transportation Letters;2024-04-02

5. Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment;Accident Analysis & Prevention;2024-04

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