01698212

Component

This research proposes a method to estimate the practical crash avoidance effectiveness of 6 advanced driver assistance systems (ADAS) when they are used at different roadway facilities (locations), including Blind Spot Warning/Lane Change Warning (BSW/LCW), Forward Collision Warning (FCW), Intersection Movement Assist (IMA), Pedestrian Crash Avoidance and Mitigation (PCAM), Lane Departure Warning (LDW) and Left Turn Assist (LTA). The method first uses meta-analysis and quasi-induced exposure methodologies to estimate the distribution of effectiveness-related factors across the driver population, and these factors include system operating condition, system adoption rates, and system usage features. Then a Monte-Carlo procedure is applied to sample these factors for simulating the practical ADAS effectiveness. The research shows that the practical effectiveness could be as much as 48.25% lower than the ideal effectiveness proposed by previous research. For BSW/FCW, PCAM, FCW and LDW, the urban expressways/freeways have the highest practical effectiveness, while the rural multilane highways have the lowest effectiveness. All these four systems have a higher practical effectiveness at urban than rural facilities. For LTA, it performs better at rural intersections than at urban intersections, while for IMA the conclusion is contrary. Among the six systems, BSW/LCW has the most consistent performance between facilities, while LTA is most likely to be affected by the facility type. The integrated system of six ADAS systems could prevent at most 29.50% of total crashes at urban multi-lane highways, while its lowest practical effectiveness is 13.72% at rural two-lane highways. Finally, technical and policy implications of the results are discussed.

This paper was sponsored by TRB committee AND20 Standing Committee on User Information Systems.

19-01119

English

9p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References (32) ; Tables

Audible warning devices in vehicles; Blind spots; Crash avoidance systems; Driver support systems; Left turns; Rural highways; Urban highways

Lane departure warning systems

Highways; Safety and Human Factors; Vehicles and Equipment

Transportation Research Board Annual Meeting 2019 Paper #19-01119

TRIS, TRB, ATRI

Dec 7 2018 9:48AM