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Title:

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

Accession Number:

01764004

Record Type:

Component

Abstract:

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.

Supplemental Notes:

This paper was sponsored by TRB committee ACP80 Standing Committee on Traffic Simulation Committee.

Report/Paper Numbers:

TRBAM-21-02347

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Li, Anran
Li, Haijian
Zhao, Xiaohua

Pagination:

16p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-02347

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:17AM