Dynamic Lane Management: One-way Two-lane Freeway with Mixed Traffic

Intelligent connected vehicles (ICVs) have become the development trend of traffic systems for the advantages of safety and efficiency. But there has been inefficient traffic flow mixed of ICVs and manual vehicles (MVs) during the process of ICVs gradually replacing MVs. In many potential methods to enhance traffic efficiency, researchers had a high expectation of dynamic lane management. However, the researches on the influence of exclusive lane, one of the mainstream dynamic lane management, on mixed traffic flow were not enough. Therefore, the characteristics of mixed traffic flow were studied and compared in this paper with the influence of different dynamic lane management strategies under various traffic densities and ICV penetration rates (p). Four kinds of dynamic lane management strategies (GG, IM, GI, IM) for one-way two-lane freeways were proposed and simulated by an improved cellular automata (CA) model. Through the comparative analysis of traffic capacity, average speed, and congestion rate of each dynamic lane management strategy, it can be concluded that GG is the most effective dynamic lane management strategy under a low p. For a high p, IM is more efficient at low density, while GI is more efficient at high density. Besides, the velocity stability of mixed traffic flow is positively correlated with p. The findings of this paper may improve the efficiency of heterogeneous traffic flow mixed with MVs and ICVs.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 01764004
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-02347
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:17AM