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On the Approximability of Path and Cycle Problems in Arc-Dependent Networks

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Algorithms and Discrete Applied Mathematics (CALDAM 2022)

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Abstract

In the field of transportation planning, it is often insufficient to model transportation networks by using networks with fixed arc costs. There may be additional factors that modify the time or cost of a single trip. These include turn prohibitions, fare rebates, and transfer times. Each of these factors causes the cost of a portion of the trip to depend directly on the previous portion of the trip. This dependence can be modeled using arc-dependent networks. In an arc-dependent network, the cost of an arc a depends upon the arc used to enter a. In this paper, we study the approximability of a number of negative cost cycle problems in arc-dependent networks. In a general network, the cost of an arc is a fixed constant and part of the input. Arc-dependent networks can be used to model several real-world problems, including the turn-penalty shortest path problem. Previous literature established that corresponding path problems in these networks are NP-hard. We extend that research by providing inapproximability results for several of these problems. In [7], it was established that a more general form of the shortest path problem in arc-dependent networks, known as the quadratic shortest path problem, cannot be approximated to within a constant factor. In this paper, we strengthen that result by showing NPO PB-completeness.

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References

  1. Alon, N., Yuster, R., Zwick, U.: Color-coding. J. ACM 42(4), 844–856 (1995)

    Article  MathSciNet  Google Scholar 

  2. Bellman, R.E.: Dynamic Programming. Princeton University Press, Princeton (1957)

    MATH  Google Scholar 

  3. Caldwell, T.: On finding minimum routes in a network with turn penalties. Commun. ACM 4(2), 107–108 (1961)

    Article  MathSciNet  Google Scholar 

  4. Cygan, M., et al.: Parameterized Algorithms. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21275-3

    Book  MATH  Google Scholar 

  5. Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1, 269–271 (1959)

    Article  MathSciNet  Google Scholar 

  6. Fomin, F.V., Lokshtanov, D., Saurabh, S., Zehavi, M.: Theory of Parameterized Preprocessing. Cambridge University Press, Kernelization (2019)

    Google Scholar 

  7. Hu, H., Sotirov, R.: Special cases of the quadratic shortest path problem. J. Comb. Optim. 35(3), 754–777 (2017). https://doi.org/10.1007/s10878-017-0219-9

    Article  MathSciNet  MATH  Google Scholar 

  8. Hao, H., Sotirov, R.: On solving the quadratic shortest path problem. INFORMS J. Comput. 32(2), 219–233 (2020)

    MathSciNet  MATH  Google Scholar 

  9. Kann, V.: On the approximability of NP-complete Optimization Problems. Ph.D. thesis, Royal Institute of Technology Stockholm (1992)

    Google Scholar 

  10. Kann, V.: Polynomially bounded minimization problems that are hard to approximate. Nordic J. Comput. 1(3), 317–331 (1994)

    MathSciNet  MATH  Google Scholar 

  11. Orponen, P., Mannila, H.: On approximation preserving reductions: complete problems and robust measures. Technical report, Department of Computer Science, University of Helsinki (1987)

    Google Scholar 

  12. Schöbel, A., Urban, R.: Cheapest paths in public transport: properties and algorithms. In: Huisman, D., Zaroliagis, C.D. (eds.) 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020), vol. 85. OpenAccess Series in Informatics (OASIcs), pp. 13:1–13:16. Schloss Dagstuhl-Leibniz-Zentrum für Informatik, Dagstuhl (2020)

    Google Scholar 

  13. Tan, J., Leong, H.W.: Least-cost path in public transportation systems with fare rebates that are path- and time-dependent. In: Proceedings, The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No. 04TH8749), pp. 1000–1005, October 2004

    Google Scholar 

  14. Wojciechowski, P., Williamson, M., Subramani, K.: On finding shortest paths in arc-dependent networks. In: Baïou, M., Gendron, B., Günlük, O., Mahjoub, A.R. (eds.) ISCO 2020. LNCS, vol. 12176, pp. 249–260. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-53262-8_21

    Chapter  Google Scholar 

  15. Yap, C.K.: Some consequences of non-uniform conditions on uniform classes. Theoret. Comput. Sci. 26(3), 287–300 (1983)

    Article  MathSciNet  Google Scholar 

  16. Ziliaskopoulos, A.K., Mahmassani, H.S.: A note on least time path computation considering delays and prohibitions for intersection movements. Transp. Res. Part B Methodol. 30(5), 359–367 (1996)

    Article  Google Scholar 

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Correspondence to K. Subramani .

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Wojciechowski, P., Subramani, K., Velasquez, A., Williamson, M. (2022). On the Approximability of Path and Cycle Problems in Arc-Dependent Networks. In: Balachandran, N., Inkulu, R. (eds) Algorithms and Discrete Applied Mathematics. CALDAM 2022. Lecture Notes in Computer Science(), vol 13179. Springer, Cham. https://doi.org/10.1007/978-3-030-95018-7_23

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  • DOI: https://doi.org/10.1007/978-3-030-95018-7_23

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