Abstract
This paper addresses issues associated with the real-time control of public transit operations to minimize passenger wait time: namely vehicle headway, maintenance of passenger comfort, and reducing the impact of control strategies. The randomness of passenger arrivals at bus stops and external factors (such as traffic congestion and bad weather) in high frequency transit operations often cause irregular headway that can result in decreased service reliability. The approach proposed in this paper, which has the capability of handling the uncertainty of transit operations based on Multi-objective evolutionary algorithm using a dynamic Bayesian network, applies preventive strategies to forestall bus unreliability and, where unreliability is evident, restore reliability using corrective strategies. “Holding”, “expressing”, “short-turning” and “deadheading” are the corrective strategies considered in this paper.
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References
Bartholdi, J.J., Eisenstein, D.D.: A self-coördinating bus route to resist bus bunching. Transp. Res. Part B: Methodol. 46(4), 481–491 (2012)
Chen, W.Y., Chen, Z.Y.: A simulation model for transit service unreliability prevention based on avl-apc data (pdf) (2009)
Daganzo, C.F., Pilachowski, J.: Reducing bunching with bus-to-bus cooperation. Transp. Res. Part B: Methodol. 45(1), 267–277 (2011)
Dessouky, M., Hall, R., Zhang, L., Singh, A.: Real-time control of buses for schedule coordination at a terminal. Transp. Res. Part A: Policy Pract. 37(2), 145–164 (2003)
Furth, P.G.: Using archived AVL-APC data to improve transit performance and management, vol. 113. Transportation Research Board National Research (2006)
Kjaerulff, U.B., Madsen, A.L.: Bayesian networks and influence diagrams: a guide to construction and analysis. Springer (2007)
Russell, S.J., Norvig, P.: Artificial intelligence: a modern approach. Prentice Hall, Englewood Cliffs (2010)
Wilson, N.H.M., Cham, L.C., et al.: Understanding bus service reliability: a practical framework using AVL/APC data. Ph.D. thesis, Massachusetts Institute of Technology (2006)
Yu, B., Yang, Z., Sun, X., Yao, B., Zeng, Q., Jeppesen, E.: Parallel genetic algorithm in bus route headway optimization. Appl. Soft Comput. (2011)
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Tran, V.T., Eklund, P., Cook, C. (2015). Toward Real-Time Multi-criteria Decision Making for Bus Service Reliability Optimization. In: Esposito, F., Pivert, O., Hacid, MS., Rás, Z., Ferilli, S. (eds) Foundations of Intelligent Systems. ISMIS 2015. Lecture Notes in Computer Science(), vol 9384. Springer, Cham. https://doi.org/10.1007/978-3-319-25252-0_40
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DOI: https://doi.org/10.1007/978-3-319-25252-0_40
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