Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: A hybrid modelling approach

Yao Ming Yuan, Rui Jiang, Mao Bin Hu, Qing Song Wu, Ruili Wang

Research output: Journal PublicationArticlepeer-review

74 Citations (Scopus)

Abstract

In this paper, we have investigated traffic flow characteristics in a traffic system consisting of a mixture of adaptive cruise control (ACC) vehicles and manual-controlled (manual) vehicles, by using a hybrid modelling approach. In the hybrid approach, (i) the manual vehicles are described by a cellular automaton (CA) model, which can reproduce different traffic states (i.e., free flow, synchronised flow, and jam) as well as probabilistic traffic breakdown phenomena; (ii) the ACC vehicles are simulated by using a car-following model, which removes artificial velocity fluctuations due to intrinsic randomisation in the CA model. We have studied the traffic breakdown probability from free flow to congested flow, the phase transition probability from synchronised flow to jam in the mixed traffic system. The results are compared with that, where both ACC vehicles and manual vehicles are simulated by CA models. The qualitative and quantitative differences are indicated.

Original languageEnglish
Pages (from-to)2483-2491
Number of pages9
JournalPhysica A: Statistical Mechanics and its Applications
Volume388
Issue number12
DOIs
Publication statusPublished - 15 Jun 2009
Externally publishedYes

Keywords

  • Adaptive cruise control (ACC) vehicles
  • Car-following model
  • Cellular automaton (CA) model
  • Synchronised flow
  • Traffic breakdown probability
  • Traffic flow stability

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability

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