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Local traffic condition: improvement of a vehicle based measurement approach

Knake-Langhorst, Sascha and Schießl, Caroline (2009) Local traffic condition: improvement of a vehicle based measurement approach. IET Intelligent Transport Systems, 3 (1), pp. 32-41. Institution of Engineering and Technology (IET). doi: 10.1049/iet-its:20070041. ISSN 1751-956X.

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Official URL: http://scitation.aip.org/dbt/dbt.jsp?KEY=IITSAN&Volume=3&Issue=1


Advanced driver assistance systems (ADAS) can be designed to adapt to the driver's current needs, for example, taking the traffic conditions in the immediate vicinity of the ego vehicle into account. This motivates the design of a system intended to measure the local traffic conditions in a way, which corresponds to the driver's perception of traffic conditions. A new method of measurement is introduced. It is based on automotive sensor technology. A stochastic approach is employed to optimise and evaluate the relationship between the subjective measurements made by the driver and the objective measurements presented. To this end, the drivers' subjective ratings are taken as reference. The analysis presented here is based on simulation data. The outcomes show that the design of the developed simulation environment is applicable to this work. It is shown that the objective measures correspond to the driver's subjective ratings. Thus, it is possible to estimate the driver's perception of traffic conditions using a technical measurement. The algorithm in its presented form is appropriate to give an estimation, which can be used as an input parameter for ADAS.

Item URL in elib:https://elib.dlr.de/57871/
Document Type:Article
Title:Local traffic condition: improvement of a vehicle based measurement approach
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:January 2009
Journal or Publication Title:IET Intelligent Transport Systems
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 32-41
EditorsEmailEditor's ORCID iDORCID Put Code
Publisher:Institution of Engineering and Technology (IET)
Keywords:ADAS, traffic condition, traffic density, driver perception
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Betriebliche Sicherheit und Humanfaktoren (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Institute of Transportation Systems > Automotive
Deposited By: Knake-Langhorst, Sascha
Deposited On:26 Jan 2009
Last Modified:19 Nov 2021 20:54

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