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Analyzing Freight Truck Platoon Accessibility with Route Deviations

Author

Listed:
  • Shailesh Chandra

    (Department of Civil Engineering and Construction Engineering Management, California State University, Long Beach, CA 90840, USA)

  • Timothy Thai

    (Department of Civil Engineering and Construction Engineering Management, California State University, Long Beach, CA 90840, USA)

Abstract

Truck platooning is emerging as a sustainable means of transporting goods and commodities to destinations. Platooning optimizes road space and contributes to reducing freight truck emissions. However, there has been limited research on freight truck platoon accessibility to the destination that is often necessary to understand the impact of routes on which platoon is deployed. This study develops an analytical formulation for platoon accessibility by considering the possibility of the detour of trucks forming a platoon. Analyses with four prominent interstates in California, CA, USA, show that accessibility with truck platooning on select lengths of the I-5 continues to increase for about an initial 165 miles, attains a maximum there, and starts to drop after. The other three freeways, I-10, I-405, and I-710, show a continuous increase in accessibility for their lengths and the number of ramps considered. The findings can have significant implications in determining the selection of freeway routes that could be regarded as facilitators for a truck platoon.

Suggested Citation

  • Shailesh Chandra & Timothy Thai, 2022. "Analyzing Freight Truck Platoon Accessibility with Route Deviations," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2130-:d:748369
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    References listed on IDEAS

    as
    1. Chandra, Shailesh & Jimenez, Jose & Radhakrishnan, Ramalingam, 2017. "Accessibility evaluations for nighttime walking and bicycling for low-income shift workers," Journal of Transport Geography, Elsevier, vol. 64(C), pages 97-108.
    2. van den Heuvel, Frank P. & Rivera, Liliana & van Donselaar, Karel H. & de Jong, Ad & Sheffi, Yossi & de Langen, Peter W. & Fransoo, Jan C., 2014. "Relationship between freight accessibility and logistics employment in US counties," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 91-105.
    3. Simoni, Michele D. & Claudel, Christian G., 2017. "A fast simulation algorithm for multiple moving bottlenecks and applications in urban freight traffic management," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 238-255.
    4. Chandra, Shailesh & Vadali, Sharada, 2014. "Evaluating accessibility impacts of the proposed America 2050 high-speed rail corridor for the Appalachian Region," Journal of Transport Geography, Elsevier, vol. 37(C), pages 28-46.
    5. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    6. Jesus Gonzalez-Feliu & Josep-Maria Salanova Grau & Adrien Beziat, 2014. "A location-based accessibility analysis to estimate the suitability of urban consolidation facilities," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(2), pages 166-185, July.
    7. Khalili, Fatemeh Bagheri & Antunes, António Pais & Mohaymany, Afshin Shariat, 2020. "Evaluating interregional freight accessibility conditions through the combination of centrality and reliability measures," Journal of Transport Geography, Elsevier, vol. 83(C).
    8. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2018. "The identical-path truck platooning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 26-39.
    9. Evans, Jodie L. & Elefteriadou, Lily & Gautam, Natarajan, 2001. "Probability of breakdown at freeway merges using Markov chains," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 237-254, March.
    10. Vis, Iris F. A. & de Koster, Rene, 2003. "Transshipment of containers at a container terminal: An overview," European Journal of Operational Research, Elsevier, vol. 147(1), pages 1-16, May.
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