Simulations for Predicting the Impacts of Autonomous and Connected Vehicles on the Transportation System: A Review

ABSTRACTAutonomous and connected vehicles (ACVs) will play a significant role in near future, and some autonomous vehicles are already driven on the road. The more autonomous vehicles are introduced, the more transportation systems will be affected. The literature has been quick to report the effects of ACVs based on simulation models, but it is uncertain what the effects might be in the future due to ACVs. This paper conjectures that existing simulations may not be enough to predict the effects of ACVs. The objective of this paper is to perform a critical literature review of the predicted impacts of ACVs with an emphasis on the foundations of the simulations used to reach conclusions. This paper reviews factors which are important in existing transportation systems and factors which should be incorporated into simulating the future transportation systems. The results of this study contribute to guiding future simulation applications for implementing ACVs.

• Record URL:
  https://doi.org/10.1061/9780784482445.042
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482445
• Supplemental Notes:
  • © 2019 American Society of Civil Engineers 2019
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Oh, Heung Jin
• Conference:
  • ASCE International Conference on Computing in Civil Engineering 2019
  • Location: Atlanta Georgia, United States
  • Date: 2019-6-17 to 2019-6-19
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 330-335
• Monograph Title: Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Highway transportation; Impacts; Literature reviews; Simulation
• Subject Areas: Data and Information Technology; Economics; Highways; Planning and Forecasting; Society; Vehicles and Equipment;

Filing Info

• Accession Number: 01708166
• Record Type: Publication
• ISBN: 9780784482445
• Files: TRIS, ASCE
• Created Date: Jun 21 2019 5:11PM