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System-level impacts of self-driving vehicles: terminology, impact frameworks and existing literature syntheses
KTH, School of Industrial Engineering and Management (ITM), Centres, Integrated Transport Research Lab, ITRL.ORCID iD: 0000-0001-7324-6691
KTH, School of Industrial Engineering and Management (ITM), Centres, Integrated Transport Research Lab, ITRL.ORCID iD: 0000-0003-2011-6273
VTI Statens väg- och transportforskningsinstitut.ORCID iD: 0000-0002-3738-9318
2018 (English)Report (Other academic)
Abstract [en]

The intention with this report is to contribute toward the development of systemic and holistic studies of impacts of self-driving vehicles. The report is targeting system-level impacts of self-driving vehicles on the transportation system but also wider societal impacts on factors such as: land-use, public health, energy and emissions, etc. This report is complimentary to two papers that are focused on in-depth literature review of simulation studies  (Pernestål Brenden and Kristoffersson 2018) and future scenario studies of impacts of self-driving vehicles (Engholm, Kristoffersson, and Pernestål Brenden 2018).

The first aim of the report is to summarize knowledge to enable future design of a high-level conceptual framework for impacts from self-driving vehicles from a systems perspective. The second aim is to summarize knowledge on impacts from self-driving vehicles in a selection of the available literature. The main contributions of the report are the following:

  • A terminology for different types of automated vehicles, connected vehicles and mobility concepts for automated vehicles is presented
  • Frameworks for classifying system-level impacts from SDVs in the existing literature are summarized and analyzed
  • Existing literature studies on system-level impacts from SDVs are synthesized and common themes and gaps in current research are analyzed

The terminology proposed in this report distinguishes between different types of automated and connected vehicles and is primarily intended as a tool to enable stringent analysis in this report when analyzing literature that apply different terminologies. Two frameworks for classifying system-level impacts are identified and compared. The analysis of the frameworks covers their scope, specification of mechanisms generating system impacts and briefly reviews their applicability as a starting point for developing a systems model of impacts from self-driving vehicles. The review of existing literature syntheses shows that there is a large variation in availability on literature for different system impacts. Impacts on road safety, road capacity and vehicle ownership forms are well studied. Examples of less studied impacts are costs of ownership, public health, infrastructure, air pollution and accessibility. The review identifies several contractionary mechanisms and effects that can affect various system-level impacts. The results of the review highlight the need to approach impact assessments of self-driving vehicles from a systemic and holistic point of view.

Place, publisher, year, edition, pages
2018. , p. 55
Series
TRITA-ITM-RP ; 2018:6
National Category
Transport Systems and Logistics
Research subject
Machine Design
Identifiers
URN: urn:nbn:se:kth:diva-239017ISBN: 978-91-7873-052-0 (print)OAI: oai:DiVA.org:kth-239017DiVA, id: diva2:1268871
Funder
Swedish Transport Administration, TRV 2017/22806
Note

QC 20181211

Available from: 2018-12-07 Created: 2018-12-07 Last updated: 2018-12-11Bibliographically approved

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CiteExportLink to record
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