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Optimization of a Semiflexible Demand-Responsive Feeder System in Suburban Areas Using a Memetic Algorithm.

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Title: Optimization of a Semiflexible Demand-Responsive Feeder System in Suburban Areas Using a Memetic Algorithm.
Authors: Sartori Vieira, Fabio1 (AUTHOR), Sorensen, Kenneth2 (AUTHOR), Vansteenwegen, Pieter1 (AUTHOR)
Source: Journal of Advanced Transportation. 2/15/2023, p1-18. 18p.
Subjects: Network operating system, Travel time (Traffic engineering), Suburbs, Bus stops, Algorithms, Bus occupants, Train schedules, Buses
Abstract: Traditional bus operations in suburban areas are inefficient due to their fixed routes and timetables. Since suburban operations deal with low demand spread in a large area, the service stays underused for most off-peak hours. In order to render the operation profitable and increase the number of passengers on each bus, operators reduce the frequency of the service, which results in an increase of passenger waiting time for the service. As a solution to this problem, this paper introduces a demand-responsive public bus system that aims to adjust routes and timetables of a semiflexible system to the demand for transportation. The operation still offers a reliable service like the traditional system but aims to reduce the passenger travel time. A memetic algorithm is developed to optimize this demand-responsive system. For a network with 25 bus stops served hourly by three lines and with an average demand of 20 requests per hour, the memetic algorithm is demonstrated to reduce the passenger waiting time with almost 50% in comparison with a traditional system operating in the same network with fixed routes and timetable. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Optimization of a Semiflexible Demand-Responsive Feeder System in Suburban Areas Using a Memetic Algorithm.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Advanced+Transportation%22">Journal of Advanced Transportation</searchLink>. 2/15/2023, p1-18. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Network+operating+system%22">Network operating system</searchLink><br /><searchLink fieldCode="DE" term="%22Travel+time+%28Traffic+engineering%29%22">Travel time (Traffic engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Suburbs%22">Suburbs</searchLink><br /><searchLink fieldCode="DE" term="%22Bus+stops%22">Bus stops</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Bus+occupants%22">Bus occupants</searchLink><br /><searchLink fieldCode="DE" term="%22Train+schedules%22">Train schedules</searchLink><br /><searchLink fieldCode="DE" term="%22Buses%22">Buses</searchLink>
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  Label: Abstract
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  Data: Traditional bus operations in suburban areas are inefficient due to their fixed routes and timetables. Since suburban operations deal with low demand spread in a large area, the service stays underused for most off-peak hours. In order to render the operation profitable and increase the number of passengers on each bus, operators reduce the frequency of the service, which results in an increase of passenger waiting time for the service. As a solution to this problem, this paper introduces a demand-responsive public bus system that aims to adjust routes and timetables of a semiflexible system to the demand for transportation. The operation still offers a reliable service like the traditional system but aims to reduce the passenger travel time. A memetic algorithm is developed to optimize this demand-responsive system. For a network with 25 bus stops served hourly by three lines and with an average demand of 20 requests per hour, the memetic algorithm is demonstrated to reduce the passenger waiting time with almost 50% in comparison with a traditional system operating in the same network with fixed routes and timetable. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2023/7593649
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Subjects:
      – SubjectFull: Network operating system
        Type: general
      – SubjectFull: Travel time (Traffic engineering)
        Type: general
      – SubjectFull: Suburbs
        Type: general
      – SubjectFull: Bus stops
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Bus occupants
        Type: general
      – SubjectFull: Train schedules
        Type: general
      – SubjectFull: Buses
        Type: general
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      – TitleFull: Optimization of a Semiflexible Demand-Responsive Feeder System in Suburban Areas Using a Memetic Algorithm.
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            NameFull: Sartori Vieira, Fabio
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          Name:
            NameFull: Sorensen, Kenneth
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            NameFull: Vansteenwegen, Pieter
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          Dates:
            – D: 15
              M: 02
              Text: 2/15/2023
              Type: published
              Y: 2023
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            – TitleFull: Journal of Advanced Transportation
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