Optimization Method of Customized Shuttle Bus Lines under Random Condition

Sun, Zhichao; Zhou, Kang; Yang, Xiaoguang; Xiao, Peng; Song, Rui

doi:10.3390/a14020052

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…A structure for an optimization model that maximizes the general satisfaction of users and public transit businesses was presented in [16]. A hybrid intelligent optimization technique is utilized to solve the optimization model, which is based on www.ijacsa.thesai.org meeting the passenger journey time requirements and reducing the cost-of-service operations.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Shuttle-Bus Systems in Mega-Events using Computer Modeling: A Case Study of Pilgrims' Transportation System

Yasein,

Khan

2023

IJACSA

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Mega-events are held in a city, or more, during a limited time, which requires special attention to the infrastructure and the offered services. The Hajj event, hosted in Makkah -Saudi Arabia, is considered as an excellent example of religious mega-events. The field of computer modeling and simulation is one of the main technical tools that help in developing and understanding the risks of crowds and studying the safety means during organizing of many major events in the world. This paper focuses on using computer simulation to optimize the pilgrims' shuttle-bus transportation system in Holy Sites (Mashaaer), as a case study of optimizing shuttle-bus Systems in Mega-Events using computer modeling. The objective of paper is to develop a model of the shuttle-bus transport system to give insights of the advantages of the use as an alternative for transporting pilgrims as well as to provide decision makers with a tool that could be used to select the best parameters of the system for the most efficient operation. For this purpose, pilgrims' evacuation time, traffic congestion and average trip time, from Arafat to Muzdalifa, are identified as the performance measures for evaluating the proposed transport system. The conducted simulation can be used to assess the current systems, recommend changes to the systems, and offer indicators and readings to assist decision makers.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing Shuttle-Bus Systems in Mega-Events using Computer Modeling: A Case Study of Pilgrims' Transportation System

Yasein,

Khan

2023

IJACSA

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“…The SBRPs, however, highlight serving all students within allowed time windows and total vehicle travel time constraints. For a better insight into various types of VRPs, the reader is referred to the literature review studies [15][16][17][18][19][20][21][22].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Integrated Single-Framework Algorithm for the Multi-Level School Bus Network Problem

Nickkar,

Lee

2023

Algorithms

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In many states in the United States, school bus fleets are assigned to serve students sequentially at three levels—high school, middle school, and elementary school; however, in past studies, each of these stages in the problem was considered separately. This study introduces a novel integrated school bus problem that considers the sequential operation of fleets for all three levels in a unified framework. An example of a hypothetical network was developed and tested to demonstrate the developed algorithm. The algorithm successfully handled the integration of school buses’ optimal route generation while meeting all constraints. The results showed that the routings with the integrated single-framework algorithm can reduce the total costs by 4.5% to 12.4% compared to the routings with the separated level algorithm. Also, it showed that the total costs of the integrated routing framework for different morning and afternoon time windows are 8.28% less than the same routings (identically reversed) for the morning and afternoon time windows.

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“…The forecast is then planned using calculations. This will make it possible to quickly prepare the vehicle as needed, and alter it as necessary, ultimately saving money on bus management and matching the fare [56]. Increasing the number of buses will result in more pollution when environmental protection and sustainable development are considered [57].…”

Section: Requirements Specification Of the Busmentioning

confidence: 99%

Open Innovations for Tourism Logistics Design: A Case Study of a Smart Bus Route Design for the Medical Tourist in the City of Greater Mekong Subregion

Ngeoywijit

Kruasom

Ugsornwongand

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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One of the industries with the fastest growth rates worldwide, and notably in Thailand, is medical tourism. With connections to Cambodia and Laos, Ubon Ratchathani is located in lower northeastern Thailand, close to Vietnam and Myanmar. Therefore, there is a significant chance that this region will welcome medical travelers. High-quality medical facilities are available in Ubon Ratchathani to fulfill the needs of medical tourists. A visitor’s decision to travel to Ubon Ratchathani for medical treatment is influenced by factors other than the high-level medical facilities, such as lodging, accessibility to public transportation, and tourist attractions. The public transportation services in Ubon Ratchathani, especially the public bus system, are poorly designed and may let down visitors. The purpose of this study is to develop a smart public bus route design that will meet tourists’ demands. The concept of open innovation will be utilized to develop the model. We surveyed 400 visitors to Ubon Ratchathani. The tourists’ opinions and views of public transportation will be made public and used as an input parameter when designing bus routes. The bus route can then be constructed using the differential evolution algorithm (DE). A web-based smart public transportation system was built. In order to construct an efficient smart public bus system (SPBS), open innovation was used in the development phase. According to the computational results, the new routes using DE lead to a 5.97% reduction in travel distance when compared to the output of the more well-known genetic method. More than 98.5% of visitors are satisfied with the new routes, and once they start running, 99.5% of all respondents plan to use public transit.

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Optimization Method of Customized Shuttle Bus Lines under Random Condition

Cited by 10 publications

References 13 publications

Optimizing Shuttle-Bus Systems in Mega-Events using Computer Modeling: A Case Study of Pilgrims' Transportation System

Optimizing Shuttle-Bus Systems in Mega-Events using Computer Modeling: A Case Study of Pilgrims' Transportation System

Optimal Integrated Single-Framework Algorithm for the Multi-Level School Bus Network Problem

Open Innovations for Tourism Logistics Design: A Case Study of a Smart Bus Route Design for the Medical Tourist in the City of Greater Mekong Subregion

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