A recognition model of driving risk based on Belief Rule-Base methodology

Chaozhong Wu, Chuan Sun, Duanfeng Chu, Zhenji Lu, Barys Shyrokau, Riender Happee

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


This paper aims to recognize driving risks in individual vehicles online based on a data-driven methodology. Existing advanced driver assistance systems (ADAS) have difficulties in effectively processing multi-source heterogeneous driving data. Furthermore, parameters adopted for evaluating the driving risk are limited in these systems. The approach of data-driven modelling is investigated in this study for utilizing the accumulation of on-road driving data. A recognition model of driving risk based on belief rule-base (BRB) methodology is built predicting driving safety as a function of driver characteristics, vehicle state and road environment conditions. The BRB model was calibrated and validated using on-road data from 30 drivers. The test results show that the recognition accuracy of the proposed model can reach about 90% in all situations with three levels (none, medium, large) of driving risks. Furthermore, the proposed simplified model, which provides real-time operation, is implemented in a vehicle driving simulator as a reference for future ADAS.
Original languageEnglish
Title of host publicationProceedings of the 96th Annual Meeting of the Transportation Research Board
Place of PublicationWashington, DC, USA
PublisherTransportation Research Board (TRB)
Number of pages22
Publication statusPublished - 2017
Event96th Annual Meeting of the Transportation Research Board: Transportation Innovation: Leading the Way in an Era of Rapid Change - Walter E. Washington Convention Center, Washington, United States
Duration: 8 Jan 201712 Jan 2017
Conference number: 96


Conference96th Annual Meeting of the Transportation Research Board
Abbreviated titleTRB 96th anual meeting
CountryUnited States
OtherThe meeting program will cover all transportation modes, with more than 5,000 presentations in over 800 sessions and workshops, addressing topics of interest to policy makers, administrators, practitioners, researchers, and representatives of government, industry, and academic institutions
Internet address


  • Highways
  • Safety and Human Factors


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