Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities

Author:

Li Wenting1,Li Jianqing2ORCID,Han Di3

Affiliation:

1. Computer and Information Engineering College, Guizhou University of Commerce, Guiyang 550021, China

2. Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China

3. College of Credit Management, Guangdong University of Finance, Guangzhou 510520, China

Abstract

Route guidance strategies are an important part of advanced traveler information systems, which are a subsystem of intelligent transportation systems (ITSs). In previous research, many scholars have proposed a variety of route guidance strategies to guide vehicles in order to relieve traffic congestion, but few scholars have considered a strategy to control transportation infrastructure. In this paper, to cope with tidal traffic, we propose a dynamic lane reversal strategy (DLRS) based on the density of congestion clusters over the total road region. When the density reaches 0.37, the reversible lane converts to the opposite direction. When the density falls off to below 0.22, the reversible lane returns back to the conventional direction. The simulation results show that the DLRS has better adaptability for coping with the fluctuation in tidal traffic.

Funder

Department of Science and Technology of Guizhou province, China

Guizhou Province Higher Education Engineering Research Center

Teaching Content and Curriculum System in Higher Education Institutions in Guizhou Province, China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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