Lessons learned from setting up a demonstration site with autonomous shuttle operation – based on experience from three cities in Europe

The interest in operating autonomous vehicles is growing and several demonstration sites using automated shuttles have been established all over the world. Major work is involved in setting up an automated shuttle operation that involves more than identifying the relevant site, including adhering to current regulations and obtaining approval, as well as a considerable amount of preparation and commissioning required at the site. The shuttle must pass relevant national vehicle regulations, and the operation site has to undergo a site assessment. This paper is based on lessons learned achieved from setting up automated shuttle operations in three different areas in Europe: Brussel (Belgium), Linköping (Sweden) and Turin (Italy). The focus is on the practical aspects of operation. Through the experience the authors have gained of setting up demonstration sites at three locations in Europe, they have identified the need to summarise the lessons learned from preparing AV shuttle operation sites in order to facilitate the implementation of other operation sites. Hence, this paper aims to consolidate lessons learned during preparation and implementation of automated shuttle operations in near urban environments and to identify the path toward future implementation The three sites operate different brands and number of shuttles, different types of infrastructure and varying local conditions.  The focus here was on generic lessons learned and not to understand differences between brands and operators. It is clear that further development of the AV shuttles is vital to ensure that they operate smoothly in complex traffic situations considering lane and road width, shared spaces, snow, dust, rain, leaves, birds, etc. Adapting the road infrastructure to enable the shuttles to run in the autonomous mode should be avoided, instead the shuttle development should prioritise fitting into the existing traffic environment and eco system. Mitigation areas have been identified covering: road infrastructure, weather dependant operation, season dependent operation, improvement of localisation, digital infrastructure, design and working conditions, and citizens’ user experience.

• Record URL:
  https://doi.org/10.1016/j.urbmob.2022.100021
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2667091722000097
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/26670917
• Supplemental Notes:
  • © 2022 Anna Anund et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Anund, Anna
  • 0000-0002-4790-7094
  • Ludovic, Ricker
  • Caroleo, Brunella
  • 0000-0003-2747-9093
  • Hardestam, Hugo
  • Dahlman, Anna
  • 0000-0003-2530-4126
  • Skogsmo, Ingrid
  • 0000-0001-8029-0033
  • Nicaise, Mathieu
  • Arnone, Maurizio
  • 0000-0002-0948-9346
• Publication Date: 2022-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 100021
• Serial:
  • Journal of Urban Mobility
  • Volume: 2
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2667-0917
  • Serial URL: https://www.sciencedirect.com/journal/journal-of-urban-mobility
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Demonstration projects; Infrastructure; Lessons learned; Plan implementation; Shuttle buses; Urban areas
• Geographic Terms: Brussels (Belgium); Linkoping (Sweden); Turin (Italy)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01848286
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 9 2022 3:09PM