NDLI: Benefits and challenges of multi-driver simulator studies

Content Provider	IET Digital Library
Author	Oeltze, Katharina Schießl, Caroline
Abstract	Lessons learned from a multi-driver simulator study are presented. The motivation of the use of a multi-driver simulator is outlined by describing the need to study driver–driver interaction and the so far existing insufficient methods. Therefore the multi-driver simulator MoSAIC ‘Modular and Scalable Application-platform for Intelligent Transport Systems (ITS) components’ at the German Aerospace Center will be presented. Its benefits and requirements in the conduction and analysis of obtained data are derived from theoretical analysis of recent work on multi-driver simulators as well as methodological requirements to study driver behaviour. Based on a study within the German national project UR:BAN (German acronym ‘Urbaner Raum: Benutzergerechte Assistenzsysteme und Netzmanagement’) to evaluate the impact of cooperative ITS on non-equipped drivers, further lessons learned are collected. Driving parameters are operationalised to evaluate the safety criticality as well as the overall acceptance of the equipped driver's behaviour from the perspective of non-equipped naïve drivers. However, main focus is on non-equipped drivers’ behavioural changes in regard to an imitation of the efficient driving behaviour of an equipped driver. Parameters measuring not only individual behavioural adaptation, but also behavioural adaptation of a platoon of drivers are presented. Thus, a step towards a methodology for studies with multi-driver simulators, especially for the data analysis, is made.
Starting Page	618
Ending Page	625
Page Count	8
ISSN	1751956X
Volume Number	9
e-ISSN	17519578
Issue Number	Issue 6, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/9/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0210
Journal	IET Intelligent Transport Systems
Publisher Date	2015-03-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Application-platform Behavioural Sciences Computing Data Analysis Data Handling Technique Digital Simulation Driver Platoon Behavioural Adaptation Driver-driver Interaction Driving Parameter Equipped Driver Behaviour German AeroSpace Center German National Project UR:BAN Individual Behavioural Adaptation Intelligent Transport System Intelligent Transport System Component ITS Component Multidriver Simulator Studies Nonequipped Driver Behavioural Change Social And Behavioural Sciences Computing Traffic Engineering Computing
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Effect of drowsiness on mechanical arm admittance and driving performances

Effect of intelligent speed adaptation technology on older drivers’ driving performance

Proposal of geographic information systems methodology for quality control procedures of data obtained in naturalistic driving studies

Geo-referencing naturalistic driving data using a novel method based on vehicle speed

Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis

Analyses on the heterogeneity of car-following behaviour: evidence from a cross-cultural driving simulator study

A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data

Curve speed model for driver assistance based on driving style classification

Analysis of influence on driver behaviour while using in-vehicle traffic lights with application of head-up display

Benefits and challenges of multi-driver simulator studies

Similar Documents

Effect of drowsiness on mechanical arm admittance and driving performances

Effect of intelligent speed adaptation technology on older drivers’ driving performance

Proposal of geographic information systems methodology for quality control procedures of data obtained in naturalistic driving studies

Geo-referencing naturalistic driving data using a novel method based on vehicle speed

Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis

Analyses on the heterogeneity of car-following behaviour: evidence from a cross-cultural driving simulator study

A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data

Curve speed model for driver assistance based on driving style classification

Analysis of influence on driver behaviour while using in-vehicle traffic lights with application of head-up display

Benefits and challenges of multi-driver simulator studies