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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10490535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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