A multiclass cell transmission model for shared human and autonomous vehicle roads

Autonomous vehicles have the potential to improve link and intersection traffic behavior. Computer reaction times may admit reduced following headways and increase capacity and backwards wave speed. The degree of these improvements will depend on the proportion of autonomous vehicles in the network. To model arbitrary shared road scenarios, the authors develop a multiclass cell transmission model that admits variations in capacity and backwards wave speed in response to class proportions within each cell. The multiclass cell transmission model is shown to be consistent with the hydrodynamic theory. This paper then develops a car following model incorporating driver reaction time to predict capacity and backwards wave speed for multiclass scenarios. For intersection modeling, the authors adapt the legacy early method for intelligent traffic management (Bento et al., 2013) to general simulation-based dynamic traffic assignment models. Empirical results on a city network show that intersection controls are a major bottleneck in the model, and that the legacy early method improves over traffic signals when the autonomous vehicle proportion is sufficiently high.

• Record URL:
  https://doi.org/10.1016/j.trc.2015.10.005
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X1500354X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Levin, Michael W
  • Boyles, Stephen D
• Publication Date: 2016-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 103-116
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 62
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Dynamic traffic assignment; Highway capacity; Intelligent vehicles; Mathematical models; Traffic flow
• Uncontrolled Terms: Cell transmission models; Shared roadways
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment; I72: Traffic and Transport Planning; I73: Traffic Control; I90: Vehicles;

Filing Info

• Accession Number: 01592211
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 29 2016 4:57PM