Simulation study on the effect of automated driving in a road network environment

Automated driving, which is considered to be able to reduce driving workload, enhance driving safety and improve traffic efficiency, has become a research hotspot in recent years. It is believed that traffic flow will consist of manual vehicles and automated vehicles at different automation levels in the near future. Researchers have carried out many studies on mixed traffic; most of them focus on the highway scenario. However, the majority of traffic occurs in urban/suburban road networks, which contains many different scenarios, such as expressways, merging/diverging areas, signalised intersections, trunk roads, branch roads, etc. To evaluate the effect of automated driving in a more realistic way, the authors first take adaptive cruise control (ACC) and cooperative ACC as representatives of automated driving. Then, the authors make simulations at the road network level and investigate macroscopic fundamental diagram in different scenarios. Results show that compared to a highway, the improvement of traffic flow is significantly limited in the road network.

• Record URL:
  https://doi.org/10.1049/iet-its.2019.0395
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1751956X
• Supplemental Notes:
  • Abstract reprinted with permission of the Institution of Engineering and Technology.
• Authors:
  • Wang, Qi
  • 0000-0002-9636-9659
  • Li, Li
  • 0000-0002-7580-3559
  • Hou, Dezao
  • Li, Zhiheng
  • Hu, Jianming
• Publication Date: 2020-4

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 228-232
• Serial:
  • IET Intelligent Transport Systems
  • Volume: 14
  • Issue Number: 4
  • Publisher: Institution of Engineering and Technology (IET)
  • ISSN: 1751-956X
  • EISSN: 1751-9578
  • Serial URL: https://ietresearch.onlinelibrary.wiley.com/journal/17519578
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Adaptive control; Driving; Highway safety; Highway traffic; Intelligent vehicles; Networks; Simulation
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01742892
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 19 2020 2:13PM