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Entropy-based freight tour synthesis and the role of traffic count sampling

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  • Gonzalez-Calderon, Carlos A.
  • Holguín-Veras, José

Abstract

This paper describes a Freight Tour Synthesis (FTS) model designed to infer aggregate pick-up/delivery tour flows using secondary data, such as traffic counts and zonal freight trip generation estimates. The formulation combines an entropy maximization demand model together with the secondary data constraints. The entropy function is maximized subject to the system constraints to estimate the most likely freight tours that best fit the secondary data. To assess the role of traffic counts, the authors design four different heuristics to identify the locations of the traffic counts to be used in the estimation, and assess their performance under different scenarios of traffic counts availability.

Suggested Citation

  • Gonzalez-Calderon, Carlos A. & Holguín-Veras, José, 2019. "Entropy-based freight tour synthesis and the role of traffic count sampling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 63-83.
    • Handle: RePEc:eee:transe:v:121:y:2019:i:c:p:63-83
    DOI: 10.1016/j.tre.2017.10.010
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    References listed on IDEAS

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    1. Sánchez-Díaz, Iván & Holguín-Veras, José & Ban, Xuegang (Jeff), 2015. "A time-dependent freight tour synthesis model," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 144-168.
    2. Gédéon, Christine & Florian, Michael & Crainic, Teodor G., 1993. "Determining origin-destination matrices and optimal multiproduct flows for freight transportation over multimodal networks," Transportation Research Part B: Methodological, Elsevier, vol. 27(5), pages 351-368, October.
    3. Jacques Guélat & Michael Florian & Teodor Gabriel Crainic, 1990. "A Multimode Multiproduct Network Assignment Model for Strategic Planning of Freight Flows," Transportation Science, INFORMS, vol. 24(1), pages 25-39, February.
    4. José Holguín-Veras & Gopal Patil, 2008. "A Multicommodity Integrated Freight Origin–destination Synthesis Model," Networks and Spatial Economics, Springer, vol. 8(2), pages 309-326, September.
    5. Van Zuylen, Henk J. & Willumsen, Luis G., 1980. "The most likely trip matrix estimated from traffic counts," Transportation Research Part B: Methodological, Elsevier, vol. 14(3), pages 281-293, September.
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    Cited by:

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    2. Thoen, Sebastiaan & Tavasszy, Lóránt & de Bok, Michiel & Correia, Goncalo & van Duin, Ron, 2020. "Descriptive modeling of freight tour formation: A shipment-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    3. Rivera-Gonzalez, Carlos & Amaral, Julia C., 2024. "Assessment of freight accessibility in New York City: A spatial-temporal approach," Journal of Transport Geography, Elsevier, vol. 114(C).
    4. Malik, Leeza & Tiwari, Geetam & Biswas, Udayin & Woxenius, Johan, 2021. "Estimating urban freight flow using limited data: The case of Delhi, India," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    5. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    6. Regal, Andrés & Gonzalez-Feliu, Jesús & Rodriguez, Michelle, 2023. "A spatio-functional logistics profile clustering analysis method for metropolitan areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    7. Diana P. Moreno-Palacio & Carlos A. Gonzalez-Calderon & John Jairo Posada-Henao & Hector Lopez-Ospina & Jhan Kevin Gil-Marin, 2022. "Entropy-Based Transit Tour Synthesis Using Fuzzy Logic," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    8. David A. Hensher & Edward Wei & Wen Liu & Loan Ho & Chinh Ho, 2023. "Development of a practical aggregate spatial road freight modal demand model system for truck and commodity movements with an application of a distance-based charging regime," Transportation, Springer, vol. 50(3), pages 1031-1071, June.

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