Agent-based simulation of city-wide autonomous ride-pooling and the impact on traffic noise

Pooled on-demand services promise to provide a convenient mobility experience and increase efficiency of road transport. The authors apply an established ride-pooling algorithm within the simulation framework MATSim to an autonomous fleet serving almost 2 million requests in Munich. Two mode choice scenarios are implemented, one substituting all car trips by ride-pooling, another one with free mode choice. For both scenarios the authors compare a stop-based and a door-to-door service in terms of system efficiency and noise imissions, applying an updated noise prediction model in MATSim. The results contribute to the systematic analysis of ride-pooling and show the effects of the proposed policies and service designs, which are essential for an efficient system with low noise exposure. Replacing all car trips by a stop-based ride-pooling system leads to a drastic noise reduction in residential areas whereas door-to-door systems may even increase noise exposure due to additional pick-up/drop-off rides and detours.

• Record URL:
  https://doi.org/10.1016/j.trd.2020.102673
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920920308580
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2020 Felix Zwick et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zwick, Felix
  • Kuehnel, Nico
  • Moeckel, Rolf
  • Axhausen, Kay W
• Publication Date: 2021-1

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; Maps; References; Tables;
• Pagination: 102673
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 90
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Cities; Mode choice; Ridesharing; Simulation; Traffic noise; Vehicle fleets; Vehicle miles of travel
• Geographic Terms: Munich (Germany)
• Subject Areas: Environment; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01765202
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 19 2021 5:32PM