Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion

In recent years, a new mode of transportation, referred to as “shared commuter buses,” has been introduced, which can considerably reduce the dependence of office workers on private cars and relieve urban traffic congestion, but is not widely used owing to efficiency issues. Improving the efficiency...

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Main Authors: Hongmei Chen, Yuanhang Zhang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/8874957
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author Hongmei Chen
Yuanhang Zhang
author_facet Hongmei Chen
Yuanhang Zhang
author_sort Hongmei Chen
collection DOAJ
description In recent years, a new mode of transportation, referred to as “shared commuter buses,” has been introduced, which can considerably reduce the dependence of office workers on private cars and relieve urban traffic congestion, but is not widely used owing to efficiency issues. Improving the efficiency of shared commuter buses was set as a goal, and in this study, several research objects were selected to optimize the driving routes of shared commuter buses. The problem of stop location is combined with dynamic route optimization; the “shortest walking distance” model is established to select the most appropriate location for stops. The vehicle routing problem model and “key point updating strategy” are employed to plan routes with real-time traffic information. Finally, we conduct an empirical study to validate our conclusions. The results show that both the model and algorithm are reliable and effective; thus, travel efficiency can be effectively improved and traffic jams can be alleviated.
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spelling doaj-art-c392efc70acf472191ea9e7603b41a7d2025-02-03T06:05:26ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/88749578874957Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic CongestionHongmei Chen0Yuanhang Zhang1School of Economics and Management, Yanshan University, Qinhuangdao 066004, ChinaSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, ChinaIn recent years, a new mode of transportation, referred to as “shared commuter buses,” has been introduced, which can considerably reduce the dependence of office workers on private cars and relieve urban traffic congestion, but is not widely used owing to efficiency issues. Improving the efficiency of shared commuter buses was set as a goal, and in this study, several research objects were selected to optimize the driving routes of shared commuter buses. The problem of stop location is combined with dynamic route optimization; the “shortest walking distance” model is established to select the most appropriate location for stops. The vehicle routing problem model and “key point updating strategy” are employed to plan routes with real-time traffic information. Finally, we conduct an empirical study to validate our conclusions. The results show that both the model and algorithm are reliable and effective; thus, travel efficiency can be effectively improved and traffic jams can be alleviated.http://dx.doi.org/10.1155/2021/8874957
spellingShingle Hongmei Chen
Yuanhang Zhang
Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
Discrete Dynamics in Nature and Society
title Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
title_full Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
title_fullStr Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
title_full_unstemmed Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
title_short Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
title_sort dynamic path optimization in sharing mode to relieve urban traffic congestion
url http://dx.doi.org/10.1155/2021/8874957
work_keys_str_mv AT hongmeichen dynamicpathoptimizationinsharingmodetorelieveurbantrafficcongestion
AT yuanhangzhang dynamicpathoptimizationinsharingmodetorelieveurbantrafficcongestion