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Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities

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 congest...

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Detalles Bibliográficos
Autores principales: Li, Wenting, Li, Jianqing, Han, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490535/
https://www.ncbi.nlm.nih.gov/pubmed/37687858
http://dx.doi.org/10.3390/s23177402
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author Li, Wenting
Li, Jianqing
Han, Di
author_facet Li, Wenting
Li, Jianqing
Han, Di
author_sort Li, Wenting
collection PubMed
description 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.
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spelling pubmed-104905352023-09-09 Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities Li, Wenting Li, Jianqing Han, Di Sensors (Basel) Article 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. MDPI 2023-08-25 /pmc/articles/PMC10490535/ /pubmed/37687858 http://dx.doi.org/10.3390/s23177402 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Wenting
Li, Jianqing
Han, Di
Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities
title Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities
title_full Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities
title_fullStr Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities
title_full_unstemmed Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities
title_short Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities
title_sort dynamic lane reversal strategy in intelligent transportation systems in smart cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490535/
https://www.ncbi.nlm.nih.gov/pubmed/37687858
http://dx.doi.org/10.3390/s23177402
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