Abstract
This paper deals with the problem of locating the minimal number of parking areas being necessary for dangerous goods in the European Road Transport Network. To obtain a near-optimal solution for this problem, we introduce the design of a new graph-based algorithm to locate parking areas in such a way that drivers can obey the regulations related to driving and resting times. This restriction is imposed to the problem as follows: each point in the European Road Transport Network has to be at a distance lower than 200 km from a parking area in the Network.
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References
Brandeau, M.L., Chiu, S.S.: An Overview of Representative Problems in Location Research. Management Science 35, 645–674 (1989)
Berbeglia, G., Cordeau, J., Laporte, G.: Dynamic pickup and delivery problems. European J. Oper. Res. 202, 8–15 (2010)
Caro-Vela, M.D., Paralera, C., Contreras, I.: A DEA-inspired approach to selecting parking areas for dangerous-goods trucks. Eur. J. Transp. Infrast. Res. 13, 184–195 (2013)
European Commission: Regulation EC 561/2006 about driving time and rest periods (2006)
European Commission: Trans-European Transport Network: TEN-T Core Network Corridors (2013)
European Commission: Regulation EC 1315/2013 on Union guidelines for the developtment of the trans-European transport network (2013)
Farahani, R.Z., SteadieSeifi, M., Asgari, N.: Multiple criteria facility location problems: A survey. Applied Mathematical Modelling 34, 1689–1709 (2010)
Gusik, V., Klumpp, M., Westphal, C.: International comparison of dangerous goods transport and training schemes. Ild Schriftenreihe Logistikforschung, No. 23. Leibniz Information Centre for Economics (2012)
Harary, F.: Graph Theory. Addison-Wesley, Massachusetts (1969)
Institute for Prospective Technological Studies and DG Tren: TRANSTOOLS v2.5. Joint Research Centre of European Comission (2010)
International Road Transport Union and International Transport Forum: TRANSPark database (2013)
Prodhon, C., Prins, C.: A survey of recent research on location-routing problems. European J. Oper. Res. 238, 1–17 (2014)
Robert, M., Drago, P.: Applicability of information technologies in parking area capacity optimization. Interdisc. Manag. Res. 6, 143–151 (2010)
Rodier, C.J., Shaheen, S.: Commercial Vehicle Parking in California: Exploratory Evaluation of the Problem and Possible Technology-Based Solutions. Institute of Transportation Studies, Working Paper Series UCD-ITS-RR-07-36. University of California, Davis (2007)
UNECE: European agreement concerning the international carriage of dangerous goods by road (ADR). ECE/TRANS/225 vol. I and II, United Nations Economic Commission for Europe (2012) (applicable as from 1 January 2013)
Verma, M., Verter, V.: A lead-time based approach for planning railtruk intermodal transportation of dangerous goods. European J. Oper. Res. 202, 696–706 (2010)
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Caro, M.D., Fedriani, E.M., Tenorio, Á.F. (2015). Design of an Efficient Algorithm to Determine a Near-Optimal Location of Parking Areas for Dangerous Goods in the European Road Transport Network. In: Corman, F., Voß, S., Negenborn, R. (eds) Computational Logistics. ICCL 2015. Lecture Notes in Computer Science(), vol 9335. Springer, Cham. https://doi.org/10.1007/978-3-319-24264-4_42
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DOI: https://doi.org/10.1007/978-3-319-24264-4_42
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