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An Intermodal Time-Dependent Minimum Cost Path Algorithm

With an Application to Hazmat Routing

  • Chapter
Dynamic Fleet Management

Abstract

Transportation problems, in terms of both passenger and freight applications, are increasingly being addressed with inter-modal solutions. This chapter discusses the problem of computing optimum paths on a network with many modes of transport and time-varying link costs and travel times, accounting for the fixed schedule modes and mode-switching delays. An efficient algorithm is introduced that computes optimum path trees from all nodes and possible discrete departure times, while accounting for travel and transfer delays, as well as differences in perceived costs associated with specific modes and transfers. The algorithm, called the time-dependent inter-modal minimum cost path (TDIMCP) algorithm, is extended to set the necessary framework for solving the problem of inter-modal routing of hazardous materials, taking into consideration both risk and cost at the transfer points and travel links. Travel and transfer risk associated with hazmat routing are incorporated into the cost calculation of the TDIMCP problem, considering both the likelihood of an incident and the consequences of that incident. The inter-modal hazmat routing algorithm is then applied to a series of scenarios on a test network to illustrate the behavior of the algorithm

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Reference

  • Abdelghany, K.F. and H.S. Mahmassani 2001 Dynamic trip assignment-simulation model for intermodal transportation networks. Transportation Research Record 1771: 52-60.

    Article  Google Scholar 

  • Ahuja, R.K., J.B. Orlin, S. Pallottino, and M. Scutella 2002 Minimum time and minimum cost path problems in street networks with traffic lights. Transportation Science 36: 326-336.

    Article  Google Scholar 

  • Alp, E 1995 Risk-Based Transportation Planning Practice: Overall Methodology and a Case Example. INFOR Feb 1995.

    Google Scholar 

  • Battista, M.G., M. Lucertini and B. Simeone 1996 Path composition and multiple choice in a bimodal transportation network. In World Transport Research: Proceedings of the 7th World Conference on Transport Research, Volume 2. New York: Pergamon.

    Google Scholar 

  • Bellman, R 1957 Dynamic Programming. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Brainard, J., A. Lovett and J. Parfitt 1996 Assessing Hazardous Wastes Transport Risk using a GIS. International Journal of Geographic Information Systems 10: 831-849.

    Google Scholar 

  • Chabini, I 1998 Discrete dynamic shortest path problems in transportation applications: complexity and algorithms with optimal run time. Transportation research record, 1645: 170-175.

    Article  Google Scholar 

  • Chang, E. and A.K. Ziliaskopoulos 2005 A Time-Dependent Intermodal Minimum Cost Path Algorithm. Submitted to Transportation Research, Part B, June 2005.

    Google Scholar 

  • Crainic, T.G. and J.M. Rousseau 1986 Multicommodity, multimode freight transportation: a general modeling and algorithmic framework for the service network design problem. Transportation Research, Part B 20 (3): 225-242.

    Article  Google Scholar 

  • Dial, R.B 1967 Transit pathfinder algorithm. Highway Research Record 205: 67-85.

    Google Scholar 

  • Federal Motor Carrier Safety Administration 2005 SafeStat webpage available online at http://ai.volpe.dot.gov/SafeStat/SafeStatMain.asp?PageN=result2&link. Date last accessed: November 26, 2005.

    Google Scholar 

  • Frank, W.C., J.-C. Thill and R. Batta 2000 Spatial Decision Support System for Hazardous Material Truck Routing. Transportation Research, Part C 8 (1/6): 337-359.

    Article  Google Scholar 

  • Huang, B. and P. Fery 2005 Aiding Route Decisions for Hazardous Material Transportation. 84th Annual Meeting of the Transportation Research Board, 2005. Pre-print CD ROM.

    Google Scholar 

  • Jourquine, B. and M. Beuthe 1996 Transportation policy analysis with a geographic information system: the virtual network of freight transportation in Europe. Transportation Research, Part C 4 (6): 359-371.

    Article  Google Scholar 

  • Kaufman, D.E. and R.L. Smith 1993 Fastest Paths in Time-Dependent Networks for Intelligent Vehicle Highway Systems Applications. IVHS Journal 1 (1): 1-11.

    Google Scholar 

  • List, G.F., P.B. Mirchandani, M. Turnquist and K.G. Zografos 1991 Modeling and Analysis of Hazardous Materials Transportation: Risk Analysis, Routing/Scheduling and Facility Location. Transportation Science 25 (2): 100-114.

    Article  Google Scholar 

  • Lozano, Angelica and Giovanni Storchi 2001 Shortest viable path in multimodal networks. Transportation Research, Part A 35 (3): 225-241.

    Google Scholar 

  • Lozano, Angelica and Giovanni Storchi 2002 Shortest viable hyperpath in multimodal networks. Transportation Research, Part B 36 (10): 853-874.

    Article  Google Scholar 

  • McCord, M.R. and A.Y-C. Leu 1995 Sensitivity of Optimal Hazmat Routes to Limited Preference Specification. Information Systems and Operational Research 33 (2): 68-83.

    Google Scholar 

  • Nguyen, S., E. Morello and S. Pallotino 1988 Discrete time dynamic estimation model for passenger origin/destination matrices on transit networks. Transportation Research, Part B 22 (4): 251-260.

    Article  Google Scholar 

  • Nguyen, S., S. Pallotino and F. Malucelli 2001 A modeling framework for the passenger assignment on a transport network with timetables. Transportation Science 35 (3): 238-49.

    Article  Google Scholar 

  • Pallotino, Stefano and Maria Grazia Scutella 1998 Shortest path algorithms in transportation models: Classical and innovative aspects. Equilibrium and Advanced Transportation Modelling, Patrice Marcotte and Sang Nguyen eds. Boston, MA: Kluwer Academic Publishers.

    Google Scholar 

  • Sherali, Hanif D., Antoine G. Hobeika and Sasikul Kangwalklai 2003 Transportation Science 37 (3): 278-293.

    Article  Google Scholar 

  • Sivakumar, R.A., R. Batta and M.H. Karwan 1995 “A Multiple Route Conditional Risk Model for Transporting Hazardous Materials”. Information Systems and Operational Research 33 (1): 20-33.

    Google Scholar 

  • Spiess, H. and M. Florian 1989 Optimal strategies: A new assignment model for transit networks. Transportation Research, Part B 23 (2): 83-102.

    Article  Google Scholar 

  • Ziliaskopoulos A.K. and W. Wardell 2000 An Intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays. European Journal of Operational Research 125: 486-502.

    Article  Google Scholar 

  • Ziliaskopoulos, A.K. and H.S. Mahmassani 1993 Time-dependent, shortest path algorithm for real-time intelligent vehicle highway systems applications. Transportation Research Record 1408: 94-100.

    Google Scholar 

  • Zografos K.G. and K.N. Androutsopoulos 2004 A heuristic algorithm for solving hazardous material distribution problems. European Journal of Operational Research 152 (2): 507-519.

    Article  Google Scholar 

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Chang, E., Floros, E., Ziliaskopoulos, A. (2007). An Intermodal Time-Dependent Minimum Cost Path Algorithm. In: Zeimpekis, V., Tarantilis, C.D., Giaglis, G.M., Minis, I. (eds) Dynamic Fleet Management. Operations Research/Computer Science Interfaces Series, vol 38. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-71722-7_6

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