Risk Generation and Identification of Driver–Vehicle–Road Microtraffic System-Reference-Cited by-同舟云学术

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Risk Generation and Identification of Driver–Vehicle–Road Microtraffic System

Published:2022-09 Issue:3 Volume:8 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Huang Heye¹,Liu Jinxin¹,Yang Yibin¹,Wang Jianqiang²^ORCID

Affiliation:

1. Doctoral Candidate, State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China.

2. Professor, State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001199

Reference35 articles.

1. Abdelrahman A. N. Abu-Ali and H. S. Hassanein. 2017. “Driver behavior classification in crash and near-crash events using 100-CAR naturalistic data set.” In Proc. GLOBECOM 2017-2017 IEEE Global Communications Conf. 1–6. New York: IEEE.

2. Aoude G. S. B. D. Luders K. K. H. Lee D. S. Levine and J. P. How. 2010. “Threat assessment design for driver assistance system at intersections.” In Proc. 13th Int. IEEE Conf. on Intelligent Transportation Systems 1855–1862. New York: IEEE.

3. Sociodemographic Influences on Injury Severity in Truck-Vulnerable Road User Crashes

4. Choi J. R. Curry and G. Elkaim. 2008. “Path planning based on Bézier curve for autonomous ground vehicles.” In Proc. Advances in Electrical and Electronics Engineering—IAENG Special Edition of the World Congress on Engineering and Computer Science 2008 158–166. New York: IEEE.

5. Driver crash risk factors and prevalence evaluation using naturalistic driving data

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