The solid line prohibiting lane changing to improve traffic efficiency in the on-ramp merging area

IF 3.3 2区工程技术 Q2 TRANSPORTATION

Transportmetrica B-Transport Dynamics Pub Date : 2023-03-24 DOI:10.1080/21680566.2023.2190491

Ning Guo, Fei-Hong Jiang, K. Zhu, Chao-Yun Wu, Qing-Yi Hao

引用次数: 0

Abstract

When on-ramp bottlenecks are activated, road capacity on the mainline drops sharply. This paper presents a method of adding white solid lines between lanes of the mainline in the on-ramp area to prohibit lane-changing behaviour. The interference of on-ramp vehicles on mainline vehicles can be reduced, to improve traffic efficiency. By 2D-IDM car-following model and MOBIL lane-changing model, the simulation scene of an on-ramp bottleneck is built. In the case of a high inflow rate on the mainline, a solid line between the second and third lanes upstream of the merging area can reduce the travel time. Compared to no solid line, the density of the first and second lanes is lower, the speed is higher, and the frequency of stop-and-go waves decreases. An extra solid line between the first and second lanes cannot further improve traffic efficiency.

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实线禁止变道以提高入口匝道合流区的交通效率

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来源期刊

Transportmetrica B-Transport Dynamics TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

5.00

自引率

21.40%

发文量

期刊介绍： Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”. Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control. Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data. The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.