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Investigation of Automated Vehicle Effects on Drivers Behavior and Traffic Performance
Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. Swedish National Rd and Transport Research Institute VTI, Linkoping, Sweden.ORCID iD: 0000-0002-0336-6943
Schwietering Traff Engineers, Germany.
2016 (English)In: INTERNATIONAL SYMPOSIUM ON ENHANCING HIGHWAY PERFORMANCE (ISEHP), (7TH INTERNATIONAL SYMPOSIUM ON HIGHWAY CAPACITY AND QUALITY OF SERVICE, 3RD INTERNATIONAL SYMPOSIUM ON FREEWAY AND TOLLWAY OPERATIONS), ELSEVIER SCIENCE BV , 2016, Vol. 15, p. 761-770Conference paper, Published paper (Refereed)
Abstract [en]

Advanced Driver Assistance Systems (ADAS) offer the possibility of helping drivers to fulfill their driving tasks. Automated vehicles (AV) are capable of communicating with surrounding vehicles (V2V) and infrastructure (V2I) in order to collect and provide essential information about the driving environment. Studies have proved that automated driving have the potential to decrease traffic congestion by reducing the time headway (THW), enhancing the traffic capacity and improving the safety margins in car following. 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 drivers behavior and traffic performance. A literature review was conducted to examine the AV effects on drivers 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 SCIENCE BV , 2016. Vol. 15, p. 761-770
Series
Transportation Research Procedia, ISSN 2352-1465
Keywords [en]
Automated driving; Automated vehicles; Microscopic traffic simulation; Driver behavior; Traffic performance; Capacity
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-133133DOI: 10.1016/j.trpro.2016.06.063ISI: 000387262700063OAI: oai:DiVA.org:liu-133133DiVA, id: diva2:1055226
Conference
International Symposium on Enhancing Highway Performance (ISEHP) / 7th International Symposium on Highway Capacity and Quality of Service / 3rd International Symposium on Freeway and Tollway Operations
Available from: 2016-12-12 Created: 2016-12-09 Last updated: 2018-03-21

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Olstam, Johan
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CiteExportLink to record
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