Improved reliability of public transportation using real-time transfer synchronization

Service reliability of public transportation (PT) systems is a dominant ingredient in what is perceived as the PT image. Unreliable service increases the uncertainties of simultaneous arrivals of vehicles at a transfer point. Implementing proper control actions leads to preventing missed transfers, one of the undesirable features of PT service and a major contributor to a negative image. The present work focuses on performance measurements of a PT system offering direct transfers on multi-legged trips. The method developed evaluates and improves system performance by applying selected operational tactics in real-time scenarios. In order to investigate the efficiency level of the PT system, five types of vehicle positional situations with reference to a transfer point are considered: considerably ahead of schedule, ahead of schedule, on schedule, behind schedule, and considerably behind schedule. Each situation contributes differently to the degree of system performance. The optimization framework developed results in selected operational tactics to attain the maximum number of direct (without waiting) transfers and minimize total passenger travel time. The implementation of the concept is performed in two steps: optimization and simulation. The optimization process searches for the best operational tactics, using the states of the five vehicle-position types, and the simulation serves to validate the optimal results under a stochastic framework using the concept of a multi-agent system. A case study of Auckland, New Zealand, is described for assessing the methodology developed. Results showed a 58% improvement in the system performance index compared to no-tactic operations.

[1]  H. Michael Zhang,et al.  Dynamic Holding Strategy to Prevent Buses from Bunching , 2013 .

[2]  Mark D. Hickman,et al.  An Analytic Stochastic Model for the Transit Vehicle Holding Problem , 2001, Transp. Sci..

[3]  Carlos F. Daganzo,et al.  A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons , 2009 .

[4]  Boaz Golany,et al.  Creating bus timetables with maximal synchronization , 2001 .

[5]  Herbert S. Levinson The Reliability of Transit Service: An historical Perspective , 2005 .

[6]  Mark D. Hickman,et al.  The Real–Time Stop–Skipping Problem , 2005, J. Intell. Transp. Syst..

[7]  Carlos F. Daganzo,et al.  Reducing bunching with bus-to-bus cooperation , 2011 .

[8]  Kailash C. Kapur,et al.  Customer-driven reliability models for multistate coherent systems , 1994 .

[9]  Y Iida,et al.  AN APPROXIMATION METHOD OF TERMINAL RELIABILITY OF ROAD NETWORK USING PARTIAL MINIMAL PATH AND CUT SETS , 1989 .

[10]  Aldo Cipriano,et al.  Comparison of dynamic control strategies for transit operations , 2013 .

[11]  Ross R. Maxwell,et al.  Intercity Rail Fixed-Interval, Timed-Transfer, Multihub System: Applicability of the Integraler Taktfahrplan Strategy to North America , 1999 .

[12]  J. Preston,et al.  The demand for public transport: a practical guide , 2004 .

[13]  Maged Dessouky,et al.  REAL-TIME CONTROL OF BUSES FOR SCHEDULE COORDINATION AT A TERMINAL , 2003 .

[14]  S. C. Wirasinghe,et al.  Determination of the number and locations of time points in transit schedule design — Case of a single run , 1995, Ann. Oper. Res..

[15]  Mohamed Abdel-Aty,et al.  Analysis of Types of Crashes at Signalized Intersections by Using Complete Crash Data and Tree-Based Regression , 2005 .

[16]  P. Mees Transport for Suburbia: Beyond the Automobile Age , 2009 .

[17]  Avishai Ceder,et al.  Transfer Synchronization of Public Transport Networks , 2013 .

[18]  Avishai Ceder,et al.  Optimal combinations of selected tactics for public-transport transfer synchronization , 2014 .

[19]  Avishai Ceder,et al.  Optimal coordination of public transit vehicles using operational tactics examined by simulation , 2008 .

[20]  Avishai Ceder,et al.  Public Transit Planning and Operation: Theory, Modeling and Practice , 2007 .

[21]  Wolfgang Domschke,et al.  Schedule synchronization for public transit networks , 1989 .

[22]  Matthew G Karlaftis,et al.  Effects of road geometry and traffic volumes on rural roadway accident rates. , 2002, Accident; analysis and prevention.

[23]  T. B. Reed,et al.  Reduction in the burden of waiting for public transit due to real-time schedule information: a conjoint analysis study , 1995, Pacific Rim TransTech Conference. 1995 Vehicle Navigation and Information Systems Conference Proceedings. 6th International VNIS. A Ride into the Future.

[24]  Krishna B. Misra,et al.  Handbook of Performability Engineering , 2008 .