| BELIEF AND FUZZY THEORIES FOR DRIVING BEHAVIOR ASSESSMENT IN CASE OF ACCIDENT SCENARIOS |
| Oussama Derbel, Ren Landry |
| University of Quebec |
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| ABSTRACT |
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bal risk of an event using the Dempster-Shafer Theory (DST) and the Fuzzy Theory (FT). This paper presents two methods to develop the Expert Model-based Basic Probability Assignment (EM based BPA), which is the most important task in the DST. The first one is based on the accident statistics and the second method deals with the relationship between the Fuzzy and Belief measurements. The experimental data is collected by one driver using our test vehicle and a Micro-intelligent Black Box (Micro-iBB) to collect the driving data. The sensitivity of the developed models is analysed. Our main evaluation concerns the Usage Based Insurance (UBI) applications based on the driving behavior. So, the obtained masses over the defined referential subsets in the DST are used as a score to compute the driver’s insurance premium. |
| Key Words:
Advanced driver assistance system, Driver-vehicle-environment system, Fuzzy inference systems, Belief theory, Driver behavior |
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