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Calibrated Route Finder: Improving the Safety, Environmental Consciousness, and Cost Effectiveness of Truck Routing in Sweden

Author

Listed:
  • Mikael Rönnqvist

    (Forestry Research Institute of Sweden, SE-75183 Uppsala, Sweden; and Université Laval, Québec City, Québec G1V 0A6, Canada)

  • Gunnar Svenson

    (Forestry Research Institute of Sweden, SE-75183 Uppsala, Sweden)

  • Patrik Flisberg

    (Forestry Research Institute of Sweden, SE-75183 Uppsala, Sweden)

  • Lars-Erik Jönsson

    (SDC, SE-85183 Sundsvall, Sweden)

Abstract

Calibrated Route Finder (CRF), an online route generation system, successfully finds the best route when many conflicting objectives are involved by using analytics in a collaborative environment. CRF, which has been in use since 2009, uses many diverse big data sources, which must be revised continuously. One of its key features is its use of an innovative inverse optimization process that establishes more than 100 weights to balance distance, speed, social values, environmental impacts, traffic safety, driver stress, fuel consumption, CO 2 emissions, and costs. The system enables the measurement of hilliness and curvature and incorporates rules that consider legal and practical issues related to routing in and around cities, turning in intersections, time delays, fuel consumption, and CO 2 emissions that result from waiting, acceleration, and braking. The system is used by all major forest companies in Sweden and in 60 percent of the two million annual transports in this sector. It has resulted in a paradigm shift from manual, imprecise, and unilaterally determined routes to automatically determined routes, which the stakeholders determine jointly. It has also enabled standardization, promoted collaboration, and reduced costs, thus strengthening the competitiveness of the Swedish forest industry in the international market.

Suggested Citation

  • Mikael Rönnqvist & Gunnar Svenson & Patrik Flisberg & Lars-Erik Jönsson, 2017. "Calibrated Route Finder: Improving the Safety, Environmental Consciousness, and Cost Effectiveness of Truck Routing in Sweden," Interfaces, INFORMS, vol. 47(5), pages 372-395, October.
    • Handle: RePEc:inm:orinte:v:47:y:2017:i:5:p:372-395
    DOI: 10.1287/inte.2017.0906
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    References listed on IDEAS

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    1. Ravindra K. Ahuja & James B. Orlin, 2001. "Inverse Optimization," Operations Research, INFORMS, vol. 49(5), pages 771-783, October.
    2. Frisk, M. & Göthe-Lundgren, M. & Jörnsten, K. & Rönnqvist, M., 2010. "Cost allocation in collaborative forest transportation," European Journal of Operational Research, Elsevier, vol. 205(2), pages 448-458, September.
    3. Clemens Heuberger, 2004. "Inverse Combinatorial Optimization: A Survey on Problems, Methods, and Results," Journal of Combinatorial Optimization, Springer, vol. 8(3), pages 329-361, September.
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