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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© 2022 American Society of Civil Engineers.
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
ASCE Technical Topics:
- Driver behavior
- Engineering fundamentals
- Infrastructure
- Interactive systems
- Mathematical models
- Mathematics
- Models (by type)
- Nonlinear response
- Physical models
- Structural behavior
- Structural engineering
- Systems engineering
- Systems management
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
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