Stability analysis on a dynamical model of route choice in a connected vehicle environment

Seungjae Lee, Benjamin G. Heydecker, Jooyoung Kim, Sangung Park

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Research on connected vehicle environment has been growing rapidly to investigate the effects of real-time exchange of kinetic information between vehicles and road condition information from the infrastructure through radio communication technologies. A fully connected vehicle environment can substantially reduce the latency in response caused by human perception-reaction time with the prospect of improving both safety and comfort. This study presents a dynamical model of route choice under a connected vehicle environment. We analyze the stability of headways by perturbing various factors in the microscopic traffic flow model and traffic flow dynamics in the car-following model and dynamical model of route choice. The advantage of this approach is that it complements the macroscopic traffic assignment model of route choice with microscopic elements that represent the important features of connected vehicles. The gaps between cars can be decreased and stabilized even in the presence of perturbations caused by incidents. The reduction in gaps will be helpful to optimize the traffic flow dynamics more easily with safe and stable conditions. The results show that the dynamics under the connected vehicle environment have equilibria. The approach presented in this study will be helpful to identify the important properties of a connected vehicle environment and to evaluate its benefits.

Original languageEnglish
Pages (from-to)67-82
Number of pages16
JournalTransportation Research Part C: Emerging Technologies
StatePublished - Sep 2018


  • Connected vehicle
  • Dynamical model
  • Lyapunov stability
  • Route choice
  • String stability
  • V2X


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