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A Novel Travel Time Estimation Model for Modeling a Green Time-Dependent Vehicle Routing Problem in Food Supply Chain

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Τίτλος: A Novel Travel Time Estimation Model for Modeling a Green Time-Dependent Vehicle Routing Problem in Food Supply Chain
Συγγραφείς: Ezzatollah Asgharizadeh, Sobhan Jooybar, Hannan Amoozad Mahdiraji, Jose Arturo Garza-Reyes
Έτος έκδοσης: 2022
Συλλογή: University of Leicester: Figshare
Θεματικοί όροι: vehicle routing problem, intermediate node, green transportation, multiple traffic modes, food supply chain
Περιγραφή: In a green time-dependent vehicle routing optimisation problem, if the travel time is not well estimated, the values of the objective function (emissions) for different solutions will be obtained with less accuracy, which leads to wrong decision making. The purpose of this paper is to propose an accurate travel-time estimation model. The model was developed by considering the different multiple traffic modes through a continuous approach. Moreover, in this model, it was assumed that the route between two nodes was a combination of different segments (i.e., expressway, boulevard, main street, auxiliary street, alley, etc.), and the speed level varied along the route and depended on the segments of the route. Congestion is a key factor affecting the delivery time of food to customers. To assess the reliability of the model, data from the delivery and sales network of the oldest and biggest beverage manufacturer in Iran was used. A new congestion pattern was identified based on the analysis of 272 routes and several rules were described that proved the above assumption about congestion. The travel time estimated for 30 random vehicles with random departure times were compared with data from Google Maps through statistical analyses
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: unknown
Relation: 2381/20310411.v1
Διαθεσιμότητα: https://figshare.com/articles/journal_contribution/A_Novel_Travel_Time_Estimation_Model_for_Modeling_a_Green_Time-Dependent_Vehicle_Routing_Problem_in_Food_Supply_Chain/20310411
Rights: CC BY 4.0
Αριθμός Καταχώρησης: edsbas.600CB166
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  – Url: https://figshare.com/articles/journal_contribution/A_Novel_Travel_Time_Estimation_Model_for_Modeling_a_Green_Time-Dependent_Vehicle_Routing_Problem_in_Food_Supply_Chain/20310411#
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IllustrationInfo
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  Label: Title
  Group: Ti
  Data: A Novel Travel Time Estimation Model for Modeling a Green Time-Dependent Vehicle Routing Problem in Food Supply Chain
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Ezzatollah+Asgharizadeh%22">Ezzatollah Asgharizadeh</searchLink><br /><searchLink fieldCode="AR" term="%22Sobhan+Jooybar%22">Sobhan Jooybar</searchLink><br /><searchLink fieldCode="AR" term="%22Hannan+Amoozad+Mahdiraji%22">Hannan Amoozad Mahdiraji</searchLink><br /><searchLink fieldCode="AR" term="%22Jose+Arturo+Garza-Reyes%22">Jose Arturo Garza-Reyes</searchLink>
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  Label: Publication Year
  Group: Date
  Data: 2022
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  Label: Collection
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  Data: University of Leicester: Figshare
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22vehicle+routing+problem%22">vehicle routing problem</searchLink><br /><searchLink fieldCode="DE" term="%22intermediate+node%22">intermediate node</searchLink><br /><searchLink fieldCode="DE" term="%22green+transportation%22">green transportation</searchLink><br /><searchLink fieldCode="DE" term="%22multiple+traffic+modes%22">multiple traffic modes</searchLink><br /><searchLink fieldCode="DE" term="%22food+supply+chain%22">food supply chain</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In a green time-dependent vehicle routing optimisation problem, if the travel time is not well estimated, the values of the objective function (emissions) for different solutions will be obtained with less accuracy, which leads to wrong decision making. The purpose of this paper is to propose an accurate travel-time estimation model. The model was developed by considering the different multiple traffic modes through a continuous approach. Moreover, in this model, it was assumed that the route between two nodes was a combination of different segments (i.e., expressway, boulevard, main street, auxiliary street, alley, etc.), and the speed level varied along the route and depended on the segments of the route. Congestion is a key factor affecting the delivery time of food to customers. To assess the reliability of the model, data from the delivery and sales network of the oldest and biggest beverage manufacturer in Iran was used. A new congestion pattern was identified based on the analysis of 272 routes and several rules were described that proved the above assumption about congestion. The travel time estimated for 30 random vehicles with random departure times were compared with data from Google Maps through statistical analyses
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  Data: article in journal/newspaper
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  Label: Relation
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  Data: 2381/20310411.v1
– Name: URL
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  Data: https://figshare.com/articles/journal_contribution/A_Novel_Travel_Time_Estimation_Model_for_Modeling_a_Green_Time-Dependent_Vehicle_Routing_Problem_in_Food_Supply_Chain/20310411
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  Data: CC BY 4.0
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  Data: edsbas.600CB166
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RecordInfo BibRecord:
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    Languages:
      – Text: unknown
    Subjects:
      – SubjectFull: vehicle routing problem
        Type: general
      – SubjectFull: intermediate node
        Type: general
      – SubjectFull: green transportation
        Type: general
      – SubjectFull: multiple traffic modes
        Type: general
      – SubjectFull: food supply chain
        Type: general
    Titles:
      – TitleFull: A Novel Travel Time Estimation Model for Modeling a Green Time-Dependent Vehicle Routing Problem in Food Supply Chain
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          Name:
            NameFull: Ezzatollah Asgharizadeh
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            NameFull: Sobhan Jooybar
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            NameFull: Hannan Amoozad Mahdiraji
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            NameFull: Jose Arturo Garza-Reyes
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
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