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Bi-level programming model for multi-modal regional bus timetable and vehicle dispatch with stochastic travel time

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Abstract

Public transit can be interrupted by emergencies, which can prevent vehicles from completing a trip on time, making travel times stochastic variables. In this paper, an uncertain bi-level programming model for multi-modal regional bus timetables and vehicle dispatch is presented by assuming travel times follow normal distribution based on GPS data for automatic bus station system. The lower model studies coordinating the timetables in regional bus transit with multiple modes of transport, by considering transfers between buses and buses, subways, special passenger lines with intersecting routes. The upper model assigns trips from several routes to buses located at different depots to minimize operating costs; some restrictions such as parking capacity are considered in this model. A group of feasible solutions generated by the lower level plan is provided for input into the upper level plan in order to compare their best solutions. The lower and upper solutions are calculated using the Estimation of Distribution Algorithm, which defines the satisfactory degree of the solutions to reduce their search space to find optimal scheme quickly.

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References

  1. Ceder, A.: Public Transit Planning and Operation Theory, Modeling and Practice. Elsevier, Butterworth-Heinemann, Oxford, UK (2007)

    Google Scholar 

  2. Liu, T., Ceder, A.: Analysis of a new public-transport-service concept: customized bus in China. Transp. Policy 39, 63–76 (2015)

    Article  Google Scholar 

  3. Wu, J.J., Liu, M.H., Sun, H.J., Li, T.F., Gao, Z.Y., David, Z.W.: Equity-based timetable synchronization optimization in urban subway network. Transp. Res. Part C 51, 1–18 (2015)

    Article  Google Scholar 

  4. Gong, H., Chen, X., Yu, L., et al.: An application-oriented model of passenger waiting time based on bus departure time intervals. Transp. Plan. Technol. 39(4), 424–437 (2016)

    Article  Google Scholar 

  5. Wei, M., Sun, B., Jin, W.Z.: Model and algorithm of regional bus scheduling with grey travel time. J. Transp. Syst. Eng. Inf. Technol. 12(6), 106–112 (2012)

    Google Scholar 

  6. Stephan, H., Ceder, A.: Multiobjective approach to creating bus timetables with multiple vehicle types. Transp. Res. Rec. 22(76), 56–62 (2012)

    Google Scholar 

  7. Heuvel, A., Akker, J., Niekerk, M.: Integrating timetabling and vehicle scheduling in public bus transportation. Utrecht University, Technical Report, The Netherlands (2008)

  8. Wang, M.L., Dong, D.C.: Regional bus line optimize model integrating timetable and vehicle scheduling. J. Syst. Manag. Sci. 4(1), 111–120 (2011)

    Google Scholar 

  9. Schmid, V., Ehmke, J.F.: Integrated timetabling and vehicle scheduling with balanced departure times. OR Spectrum 1, 1–26 (2015)

    MathSciNet  MATH  Google Scholar 

  10. Weiszer, M., Fedorko, G., Molnar, V., Weiszer, M.: Bi-objective optimization of timetabling and vehicle scheduling in public transportation. Carpathian Logist. Congr. (2013)

  11. Michaelis, M., Schöbel, A.: Integrating line planning, timetabling, and vehicle scheduling: a customer-oriented approach. Public Transp. 1(3), 211–232 (2009)

    Article  Google Scholar 

  12. Ouyang, Y., Nourbakhsh, S.M., Cassidy, M.J.: Continuum approximation approach to bus network design under spatially heterogeneous demand. Transp. Res. Part B 68, 333–344 (2014)

    Article  Google Scholar 

  13. Sun, Y., Song, R., He, S.W.: Comprehensive optimization of feeder bus timetable and regional vehicles cheduling. J. Jilin Univ. (Eng. Technol. Edition) 41(5), 1228–1233 (2011)

    Google Scholar 

  14. Liu, Z.G., Shen, J.S.: Regional bus operation bi-level programming model integrating timetable and vehicle scheduling. Syst. Eng. Theory Pract. 27(11), 135–141 (2007)

    Article  Google Scholar 

  15. Omar, I.R., Giesen, R., Rios, Y.: An integrated approach for timetabling and vehicle scheduling problems to analyze the trade-off between level of service and operating costs of transit networks. Transp. Res. Part B 70(7), 35–46 (2014)

    Google Scholar 

  16. Wei, M., Chen, X.W., Sun, B.: Model and algorithm of schedule coordination in regional bus transit with multiple transport modes. J. Highw. Transp. Res. Dev 31(4), 136–142 (2015)

    Google Scholar 

  17. Zheng, Y., Zhang, Y., Li, L.: Reliable path planning for bus networks considering travel time uncertainty. IEEE Intell. Transp. Syst. Mag. 8(1), 35–50 (2016)

    Article  Google Scholar 

  18. Wei, M., Chen, X.W., Sun, B.: Model and algorithm for resolving regional bus scheduling problems with fuzzy travel times. J. Intell. Fuzzy Syst. 29(6), 2689–2696 (2015)

    Article  Google Scholar 

  19. Liu, B.D.: Theory and Practice of Uncertain Programming. UTLAB (2008)

  20. Zhang, Q., Mhlenbein, H.: On the convergence of a class of estimation of distribution algorithms. IEEE Trans. Evol. Comput. 8(2), 127–136 (2004)

    Article  Google Scholar 

  21. Pelikan, M., Sastry, K., Goldberg, D.E.: Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. 31(3), 221–258 (2002)

    Article  MATH  Google Scholar 

  22. Miihlenbein, H., Hns, R.: The estimation of distributions and the minimum relative entropy principle. Evol. Comput. 13(1), 1–27 (2005)

    Article  Google Scholar 

  23. Roberto, S.: Estimation of distribution algorithms with Kikuchi approximations. Evol. Comput. 13(1), 67–97 (2005)

    Article  Google Scholar 

Download references

Acknowledgements

This paper is funded by the National Natural Science Foundation of China (61503201); Natural Science Foundation of the Jiangsu Province in China (BK20161280); the Humanities and Social Sciences Foundation of the Ministry of Education in China (16YJCZH086); Natural Science Foundation of the Jiangsu High Education (15KJB580011); Nantong Science and Technology Innovation Program (GY12015025); Project of excellent graduate innovation in Hebei province (2016348).

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Wei, M., Sun, B. Bi-level programming model for multi-modal regional bus timetable and vehicle dispatch with stochastic travel time. Cluster Comput 20, 401–411 (2017). https://doi.org/10.1007/s10586-016-0719-x

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  • DOI: https://doi.org/10.1007/s10586-016-0719-x

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