Combination and Selection of Traffic Safety Expert Judgments for the Prevention of Driving Risks

Enrique Cabello,Andrés Redchuk,Isaac Diego,Javier Moguerza,Cristina Conde

doi:10.3390/s121114711

Abstract

In this paper, we describe a new framework to combine experts' judgments for the prevention of driving risks in a cabin truck. In addition, the methodology shows how to choose among the experts the one whose predictions fit best the environmental conditions. The methodology is applied over data sets obtained from a high immersive cabin truck simulator in natural driving conditions. A nonparametric model, based in Nearest Neighbors combined with Restricted Least Squared methods is developed. Three experts were asked to evaluate the driving risk using a Visual Analog Scale (VAS), in order to measure the driving risk in a truck simulator where the vehicle dynamics factors were stored. Numerical results show that the methodology is suitable for embedding in real time systems.

Highlights

Driving in an urban environment is always a risky and complex experience [1], more so for a truck driver
This paper presents a methodology to combine and select experts’ judgments for the prevention of driving risks in a cabin truck
The proposed technique allows the calculation of the influence of each characteristic over the final driving risk value, for each expert

Summary

Introduction

Driving in an urban environment is always a risky and complex experience [1], more so for a truck driver. It includes dealing with pedestrians, cyclists, delivery trucks, buses, parked cars, one-way streets, etc. The presence of these features makes city driving more challenging [2]. Among the Sensors 2012, 12 problems related with urban traffic we can mention the following: parked cars making streets narrower, suddenly stopping cars, pedestrians or cyclists suddenly entering the truck’s path, loading and unloading of passengers from buses, almost perpendicular intersections with constricted space to turn, and stop and go traffic. Urban areas are affected by 35.4% of fatal truck accidents where in 14.4% of the cases, the cargo was spilled and in 6.5% there were open flames reported

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