Technical Papers
May 19, 2022

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

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 3

Abstract

The highly nonlinear and uncertain driver-vehicle-road (DVR) traffic system will be unstable and cause potential risks under certain conditions. This paper analyzes the attributes and interactive characteristics of DVR, and constructs the physical and mathematical models of the DVR microtraffic system. We first consider the potential accident consequences caused by vehicle-road interaction, the behavior uncertainty of driver-vehicle interaction and the risk sensitivity of driver-road interaction, construct a DVR system model to characterize the influence of DVR interaction process on the system safety. Further, by revealing the risk generation mechanism of a DVR system, we can achieve system risk identification and early warning. Experimental results verified by naturalistic driving dataset show that the risk trend generated by the DVR system model is consistent with the output of traditional risk indicators (THW, TTC). Compared with TTC, the proposed model is more universal to different traffic participants and road topology scenarios and can assist DVR systems to make early warning and control strategy.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. These include raw data from publicly available sources, highD dataset, and quantitative output of TTC/THW, which are included as part of this paper (tables and figures).

Acknowledgments

This work was jointly supported by the National Natural Science Foundation of China, the Major Project (61790561), the National Science Fund for Distinguished Young Scholars (51625503), and the Joint Laboratory for Internet of Vehicle, Ministry of Education—China Mobile Communications Corporation.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8Issue 3September 2022

History

Received: Aug 17, 2021
Accepted: Sep 20, 2021
Published online: May 19, 2022
Published in print: Sep 1, 2022
Discussion open until: Oct 19, 2022

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Doctoral Candidate, State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China. Email: [email protected]
Doctoral Candidate, State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China. Email: [email protected]
Doctoral Candidate, State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China. Email: [email protected]
Professor, State Key Laboratory of Automotive Safety and Energy, Tsinghua Univ., Beijing 100084, China (corresponding author). ORCID: https://orcid.org/0000-0003-4363-6108. Email: [email protected]

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