An Extended Time-Delayed V2X-Based Bidirectional Looking Car-Following Model and Its Linear Stability Analysis

Recent advances in connected vehicle technology would significantly improve the traffic safety, mobility and environment of the traffic systems. Thus, it is essential to fully exploit impacts of the CV technology on the traffic flow dynamics the microscopic model at the high level of details, especially considering the additional communication delay introduced by CV technology. Firstly, this paper proposes an extended time-delayed V2X-based (Vehicle-to-everything) bi-directional looking car-following model. Then a probabilistic extension of the proposed model considering connectivity is given to indicate the mixed connected vehicle’s impacts. And linear stability analysis from both analytical analysis and numerical simulation side are conducted to investigate the proposed model. Results show some findings are consistent with previous studies, including that bi-directional looking information improves stability and communication latency results destabilizations. Also, the proposed model indicates some further inferences. The associated weight of each vehicle’s information can largely influence the improved stability. Even a carefully designed weight factor can mitigate the negative impacts caused by other factors. Last but not the least, both proactive information promoted by forecasting behavior and increasing of connectivity ratio definitely would stabilize traffic flow.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01660154
  • Record Type: Publication
  • Report/Paper Numbers: 18-01846
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 8 2018 10:28AM