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Title:

A New Methodology to Model Driver Behaviour Accounting for the Variation in Driving Manner Using Naturalistic Driving Data

Accession Number:

01761379

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/oclc/19-0051

Abstract:

The aim is to develop Advanced Driving Assistance Systems (ADAS) which are suitable for all customers in all driving conditions. To achieve this goal, a new methodology was developed to characterize driving manner in each scenario by a mathematical model based on Naturalistic Driving Study (NDS) data. To represent the variety of driving manners, a new parameter named “aggressiveness” is introduced. By adjusting “aggressiveness”, the ADAS’ behaviour can be modified, matching natural driving behaviour in a wide range of operating conditions. This methodology is applied to model when drivers start to brake when approaching another vehicle that’s driving in the same lane. This model can be used to detect when a driver is not assessing a threat correctly by comparing his instantaneous driving behaviour with his normal driving behaviour.

Supplemental Notes:

Paper Number: 19-0092-O

Monograph Accession #:

01760206

Report/Paper Numbers:

19-0092

Language:

English

Corporate Authors:

National Highway Traffic Safety Administration

1200 New Jersey Avenue, SE
Washington, DC 20590 United States

Authors:

Niels, Ferson
Edoardo, Pizzigoni
Florent, Garnier-Follet
Clément, Val

Pagination:

8p

Publication Date:

2019

Conference:

26th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Technology: Enabling a Safer Tomorrow

Location: Eindhoven , Netherlands
Date: 2019-6-10 to 2019-6-13
Sponsors: National Highway Traffic Safety Administration

Media Type:

Digital/other

Features:

Figures; References

Subject Areas:

Highways; Safety and Human Factors

Files:

TRIS, ATRI, USDOT

Created Date:

Dec 8 2020 3:16PM