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Real-time Estimation of Lane Change Risks based on the Analysis of Individual Vehicle Interactions

Title
Real-time Estimation of Lane Change Risks based on the Analysis of Individual Vehicle Interactions
Author
오철
Issue Date
2018-12
Publisher
NATL ACAD SCIENCES
Citation
TRANSPORTATION RESEARCH RECORD, v. 2672, No. 20, Page. 39-50
Abstract
Lane-changing vehicles continuously interact with adjacent vehicles by adjusting longitudinal and lateral maneuvering. Safe lane changing can be regarded as an outcome of safe vehicle interactions during lane changes. An effective safety assessment of a vehicle changing lanes is essential to developing various countermeasures to prevent crashes. This study developed a methodology for estimating the risks of changing lanes in real time using vehicle trajectory data. Both a real-time risk exposure level (RREL) and a real-time risk severity level (RRSL) were devised to quantify risk levels associated with lane changing based on an analysis of vehicle interactions. Then, fault tree analysis was adopted to integrate the two indicators, RREL and RRSL. This study demonstrated the feasibility of the proposed methodology by conducting VISSIM simulation experiments. The outcome of this study can be used to not only evaluate the effectiveness of traffic management strategies in terms of lane change safety but also support the development of various advanced driving assistance systems.
URI
https://journals.sagepub.com/doi/abs/10.1177/0361198118790346https://repository.hanyang.ac.kr/handle/20.500.11754/98878
ISSN
0361-1981; 2169-4052
DOI
10.1177/0361198118790346
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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