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
Ceder, A.: Public Transit Planning and Operation Theory, Modeling and Practice. Elsevier, Butterworth-Heinemann, Oxford, UK (2007)
Liu, T., Ceder, A.: Analysis of a new public-transport-service concept: customized bus in China. Transp. Policy 39, 63–76 (2015)
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)
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)
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)
Stephan, H., Ceder, A.: Multiobjective approach to creating bus timetables with multiple vehicle types. Transp. Res. Rec. 22(76), 56–62 (2012)
Heuvel, A., Akker, J., Niekerk, M.: Integrating timetabling and vehicle scheduling in public bus transportation. Utrecht University, Technical Report, The Netherlands (2008)
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)
Schmid, V., Ehmke, J.F.: Integrated timetabling and vehicle scheduling with balanced departure times. OR Spectrum 1, 1–26 (2015)
Weiszer, M., Fedorko, G., Molnar, V., Weiszer, M.: Bi-objective optimization of timetabling and vehicle scheduling in public transportation. Carpathian Logist. Congr. (2013)
Michaelis, M., Schöbel, A.: Integrating line planning, timetabling, and vehicle scheduling: a customer-oriented approach. Public Transp. 1(3), 211–232 (2009)
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)
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)
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)
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)
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)
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)
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)
Liu, B.D.: Theory and Practice of Uncertain Programming. UTLAB (2008)
Zhang, Q., Mhlenbein, H.: On the convergence of a class of estimation of distribution algorithms. IEEE Trans. Evol. Comput. 8(2), 127–136 (2004)
Pelikan, M., Sastry, K., Goldberg, D.E.: Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. 31(3), 221–258 (2002)
Miihlenbein, H., Hns, R.: The estimation of distributions and the minimum relative entropy principle. Evol. Comput. 13(1), 1–27 (2005)
Roberto, S.: Estimation of distribution algorithms with Kikuchi approximations. Evol. Comput. 13(1), 67–97 (2005)
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