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Weight-categorized truck flow estimation: A data-fusion approach and a Florida case study

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  • Zhao, Dongfang
  • Balusu, Suryaprasanna Kumar
  • Sheela, Parvathy Vinod
  • Li, Xiaopeng
  • Pinjari, Abdul Rawoof
  • Eluru, Naveen

Abstract

Knowledge of spatial distributions of weight-categorized truck flows in a region is critical to the understanding of movements of empty or partially-loaded trucks and devising appropriate strategies to reduce empty or partially-loaded truck flows and improve truck utilization efficiency in the region. However, such disaggregated information cannot be directly obtained from existing data sources and models. In this paper, we propose a compact model for estimating weight-categorized truck origin–destination (OD) flows and link-level truck counts by fusing several freight datasets. The proposed model minimizes the squared errors between the estimated and observed truck OD flows and link volumes considering the flow conservation of trucks and commodity weights. To illustrate a real-world application of this model, a case study is conducted to estimate the spatial distribution of empty or partially-loaded truck flows into, within, and out of the State of Florida. With the case study results, high production- and attraction-zones of empty or partially-loaded truck trips are also identified. Such results can potentially inform freight planning and policy decisions to learn spatial patterns of empty or partially-loaded backhauling truck flows and devise countermeasures to reduce such flows and improve freight transportation efficiency. This is particularly relevant to a terminal state such as Florida that has large volumes of back-hauling truck flow.

Suggested Citation

  • Zhao, Dongfang & Balusu, Suryaprasanna Kumar & Sheela, Parvathy Vinod & Li, Xiaopeng & Pinjari, Abdul Rawoof & Eluru, Naveen, 2020. "Weight-categorized truck flow estimation: A data-fusion approach and a Florida case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    • Handle: RePEc:eee:transe:v:136:y:2020:i:c:s1366554519304156
    DOI: 10.1016/j.tre.2020.101890
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    References listed on IDEAS

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    1. Chow, Joseph Y.J. & Ritchie, Stephen G. & Jeong, Kyungsoo, 2014. "Nonlinear inverse optimization for parameter estimation of commodity-vehicle-decoupled freight assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 71-91.
    2. Teodor Gabriel Crainic & Michel Gendreau & Pierre Dejax, 1993. "Dynamic and Stochastic Models for the Allocation of Empty Containers," Operations Research, INFORMS, vol. 41(1), pages 102-126, February.
    3. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    4. José Holguín-Veras & Ellen Thorson & Juan Zorrilla, 2010. "Commercial Vehicle Empty Trip Models With Variable Zero Order Empty Trip Probabilities," Networks and Spatial Economics, Springer, vol. 10(2), pages 241-259, June.
    5. 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.
    6. Holguín-Veras, José & Thorson, Ellen, 2003. "Modeling commercial vehicle empty trips with a first order trip chain model," Transportation Research Part B: Methodological, Elsevier, vol. 37(2), pages 129-148, February.
    7. Jansuwan, Sarawut & Ryu, Seungkyu & Chen, Anthony, 2017. "A two-stage approach for estimating a statewide truck trip table," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 274-292.
    8. 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.
    9. Genevieve Giuliano & Peter Gordon & Qisheng Pan & JiYoung Park & LanLan Wang, 2010. "Estimating Freight Flows for Metropolitan Area Highway Networks Using Secondary Data Sources," Networks and Spatial Economics, Springer, vol. 10(1), pages 73-91, March.
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    Cited by:

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    2. Huo, Jinbiao & Liu, Chengqi & Chen, Jingxu & Meng, Qiang & Wang, Jian & Liu, Zhiyuan, 2023. "Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).

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