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Benefits of travel time savings by truck platooning in Korean freeway networks

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  • Jo, Young
  • Kim, Jungin
  • Oh, Cheol
  • Kim, Ikki
  • Lee, Gunwoo

Abstract

Truck platooning is a promising strategy to not only reduce the workload of truck drivers but also to increase the efficiency of freight transportation. In addition, truck platooning is expected to contribute to the increase in highway capacity, which causes changes in travel demand and travel time patterns. The reliable identification of the impacts of truck platooning based on a scientific and systematic approach is a fundamental task for implementing truck platooning in practice and maximizing its effectiveness. The purpose of this study is to quantify the benefits of travel time savings that would be achieved as a result of truck platooning. A nice feature of the proposed methodology is the integration of microscopic and macroscopic phenomena in its evaluation framework. First, micro-level analysis was conducted to identify the change in highway capacity in a mixed traffic stream consisting of truck platoons and general vehicles. A widely used microscopic traffic simulator, VISSIM, was adopted to quantify the rate of change of the capacity. For the macro-level analysis, the transportation planning software TransCAD was used to estimate the extent of the reduction in travel times based on the increase in the capacity obtained from the micro-level analysis. Simulations based on the proposed methodology were performed on Korean freeways of 3 or more lanes. It was observed that truck platooning would result in annual benefits of travel time savings corresponding to approximately 187.6 billion Korean won (167.7 million US $) in 2020. The results are expected to support various policy-making activities to facilitate the implementation of truck platooning on freeways.

Suggested Citation

  • Jo, Young & Kim, Jungin & Oh, Cheol & Kim, Ikki & Lee, Gunwoo, 2019. "Benefits of travel time savings by truck platooning in Korean freeway networks," Transport Policy, Elsevier, vol. 83(C), pages 37-45.
    • Handle: RePEc:eee:trapol:v:83:y:2019:i:c:p:37-45
    DOI: 10.1016/j.tranpol.2019.09.003
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    References listed on IDEAS

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    1. Puylaert, S. & Snelder, M. & van Nes, R. & van Arem, B., 2018. "Mobility impacts of early forms of automated driving – A system dynamic approach," Transport Policy, Elsevier, vol. 72(C), pages 171-179.
    2. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    3. Cantor, David E. & Corsi, Thomas M. & Grimm, Curtis M. & Özpolat, Koray, 2010. "A driver focused truck crash prediction model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 683-692, September.
    4. Melo, Sandra & Macedo, Joaquim & Baptista, Patrícia, 2019. "Capacity-sharing in logistics solutions: A new pathway towards sustainability," Transport Policy, Elsevier, vol. 73(C), pages 143-151.
    5. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    6. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W., 2018. "Cost-based analysis of autonomous mobility services," Transport Policy, Elsevier, vol. 64(C), pages 76-91.
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    1. Li, Haijian & Zhang, Junjie & Sun, Xiaoliang & Niu, Jun & Zhao, Xiaohua, 2022. "A survey of vehicle group behaviors simulation under a connected vehicle environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    2. Daisuke Watanabe & Takeshi Kenmochi & Keiju Sasa, 2021. "An Analytical Approach for Facility Location for Truck Platooning—A Case Study of an Unmanned Following Truck Platooning System in Japan," Logistics, MDPI, vol. 5(2), pages 1-15, May.
    3. Marzano, Vittorio & Tinessa, Fiore & Fiori, Chiara & Tocchi, Daniela & Papola, Andrea & Aponte, Dario & Cascetta, Ennio & Simonelli, Fulvio, 2022. "Impacts of truck platooning on the multimodal freight transport market: An exploratory assessment on a case study in Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 100-125.

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