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Investigation of Automated Vehicle Effects on Driver's Behavior and Traffic Performance
Linköpings universitet.
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0002-0336-6943
Schwietering Traffic Engineers, DE.
2016 (English)In: Transportation Research Procedia, ISSN 2324-9935, E-ISSN 2352-1465, Vol. 15, 761-770 p.Article in journal (Refereed) Published
Abstract [en]

Advanced Driver Assistance Systems (ADAS) offer the possibility of helping drivers to fulfill their driving tasks. Despite different encouraging factors, automated driving raise some concerns such as possible loss of situation awareness, overreliance on automation and system failure. This paper aims to investigate the effects of AV on driver’s behavior and traffic performance. A literature review was conducted to examine the AV effects on driver’s behavior. Findings from the literature survey reveal that conventional vehicles (CV), i.e. human driven, which are driving close to a platoon of AV with short THW, tend to reduce their THW and spend more time under their critical THW. Additionally, driving highly AV reduce situation awareness and can intensify driver drowsiness, exclusively in light traffic.

In order to investigate the influences of AV on traffic performance, a simulation case study consisting of a 100% AV scenario and a 100% CV scenario was performed using microscopic traffic simulation. Outputs of this simulation study reveal that the positive effects of AV on roads are especially highlighted when the network is crowded (e.g. peak hours). This can definitely count as a constructive point for the future of road networks with higher demands. In details, average density of autobahn segment remarkably improved by 8.09% during p.m. peak hours in the AV scenario, while the average travel speed enhanced relatively by 8.48%. As a consequent, the average travel time improved by 9.00% in the AV scenario.

The outcome of this study jointly with the previous driving simulator studies illustrates a successful practice of microscopic traffic simulation to investigate the effects of AV. However, further development of the microscopic traffic simulation models are required and further investigations of mixed traffic situation with AV and CV need to be conducted.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 15, 761-770 p.
Keyword [en]
Advanced driver assistance system, Traffic flow, Behaviour, Micro, Simulation, Traffic concentration, Average speed
National Category
Transport Systems and Logistics
Research subject
20 Road: Traffic engineering, 23 Road: ITS och traffic
Identifiers
URN: urn:nbn:se:vti:diva-10984DOI: 10.1016/j.trpro.2016.06.063OAI: oai:DiVA.org:vti-10984DiVA: diva2:1039078
Conference
International Symposium on Enhancing Highway Performance (ISEHP), June 14-16, 2016, Berlin — (7th International Symposium on Highway Capacity and Quality of Service, 3rd International Symposium on Freeway and Tollway Operations)
Funder
TrenOp, Transport Research Environment with Novel Perspectives
Available from: 2016-10-21 Created: 2016-10-21 Last updated: 2016-10-24Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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