Automatic data for applied railway management : passenger demand, service quality measurement, and tactical planning on the London Overground Network

The broad goal of this thesis is to demonstrate the potential positive impacts of applying automatic data to the management and tactical planning of a modern urban railway. Tactical planning is taken here to mean the set of transport-specific analysis and decisions required to manage and improve a railway with time horizons measured in weeks, months, or up to a year and little or no capital investment requirements. This thesis develops and tests methods to (i) estimate on-train loads from automatic measurements of train payload weight, (ii) estimate origin-destination matrices by combining multiple types of automatic data, (iii) study passenger incidence (station arrival) behavior relative to the published timetable, (iv) characterize service quality in terms of the difference between automatically measured passenger journey times and journey times implied by the published timetable. It does so using (i) disaggregate journey records from an entry- and exit-controlled automatic fare collection system, (ii) payload weight measurements from "loadweigh" sensors in train suspension systems, and (iii) aggregate passenger volumes from electronic station gatelines. The methods developed to analyze passenger incidence behavior and service quality using these data sources include new methodologies that facilitate such analysis under a wide variety of service conditions and passenger behaviors. The above methods and data are used to characterize passenger demand and service quality on the rapidly growing, largely circumferential London Overground network in London, England. A case study documents how a tactical planning intervention on the Overground network was influenced by the application of these methods, and evaluates the outcomes of this intervention. The proposed analytical methods are judged to be successful in that they estimate the desired quantities with sufficient accuracy and are found to make a positive contribution to the Overground's tactical planning process. It is concluded that relative measures of service quality such as the one developed here can be used in cross-sectional analysis to inform tactical planning activity. However, such measures are of less utility for longitudinal evaluation of tactical planning interventions when the basis against which service quality is judged (in this case the timetable) is changed. Under such circumstances, absolute measures, such as total observed passenger journey times, should be used as well.

[1]  Graham Currie,et al.  Investigating Consistency in Transit Passenger Arrivals , 2008 .

[2]  Michael G.H. Bell,et al.  The build-up of capacity problems during the peak hour , 2009 .

[3]  Piyushimita Thakuriah,et al.  Urban Transportation Planning: A Decision-Oriented Approach , 2001 .

[4]  Minh Tran,et al.  Performance Measurements on Mass Transit , 2009 .

[5]  Derek Sze-Ming Lee Understanding capacity and performance of urban rail transit terminals , 2002 .

[6]  T. Abrahamsson,et al.  IR-98-021 / May Estimation of Origin-Destination Matrices Using Traffic Counts – A Literature Survey , 1998 .

[7]  Miguel Vescovacci Junction capacity and performance in rail transit , 2003 .

[8]  Moshe Ben-Akiva,et al.  DATA FUSION METHODS AND THEIR APPLICATIONS TO ORIGIN-DESTINATION TRIP TABLES , 1989 .

[9]  Mark A. Turnquist,et al.  Service frequency, schedule reliability and passenger wait times at transit stops , 1981 .

[10]  William H. K. Lam,et al.  DECOMPOSITION ALGORITHM FOR STATISTICAL ESTIMATION OF OD MATRIX WITH RANDOM LINK CHOICE PROPORTIONS FROM TRAFFIC COUNTS , 1999 .

[11]  Umberto Crisalli,et al.  A Doubly Dynamic Schedule-based Assignment Model for Transit Networks , 2001, Transp. Sci..

[12]  M E Ben-Akiva,et al.  METHODS TO COMBINE DIFFERENT DATA SOURCES AND ESTIMATE ORIGIN-DESTINATION MATRICES , 1987 .

[13]  Maria Nadia Postorino,et al.  Fixed Point Approaches to the Estimation of O/D Matrices Using Traffic Counts on Congested Networks , 2001, Transp. Sci..

[14]  Peter G Furth,et al.  Service Reliability and Hidden Waiting Time , 2006 .

[15]  J. Bates,et al.  The valuation of reliability for personal travel , 2001 .

[16]  B. Hellinga,et al.  Impacts of express bus service on passenger demand , 2008 .

[17]  Mark D. Uncles,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1987 .

[18]  G. F. Newell,et al.  Control Strategies for an Idealized Public Transportation System , 1972 .

[19]  Fumitaka Kurauchi,et al.  A quasi-dynamic capacity constrained frequency-based transit assignment model , 2008 .

[20]  Michael Bierlaire,et al.  The total demand scale: a new measure of quality for static and dynamic origin–destination trip tables , 2002 .

[21]  M. Florian Finding Shortest Time-Dependent Paths in Schedule-Based Transit Networks: A Label Setting Algorithm , 2004 .

[22]  C. Pipper,et al.  [''R"--project for statistical computing]. , 2008, Ugeskrift for laeger.

[23]  M. Ben-Akiva,et al.  MODELLING INTER URBAN ROUTE CHOICE BEHAVIOUR , 1984 .

[24]  Roy R Friedman STATISTICAL MODELS OF THE MEAN AND STANDARD DEVIATION OF PASSENGER WAIT TIME IN URBAN BUS TRANSIT: A THESIS. , 1976 .

[25]  Sue McNeil,et al.  Use of Automatic Vehicle Location and Passenger Count Data to Evaluate Bus Operations , 2005 .

[26]  Shing Chung Josh Wong,et al.  A stochastic transit assignment model using a dynamic schedule-based network , 1999 .

[27]  William H. K. Lam,et al.  Estimation of an origin-destination matrix with random link choice proportions : a statistical approach , 1996 .

[28]  Gary Henderson,et al.  TOWARD A PASSENGER-ORIENTED MODEL OF SUBWAY PERFORMANCE (WITH DISCUSSION AND CLOSURE) , 1990 .

[29]  Nigel H. M. Wilson,et al.  SERVICE-QUALITY MONITORING FOR HIGH-FREQUENCY TRANSIT LINES , 1992 .

[30]  Henk J van Zuylen,et al.  The most likely trip matrix estimated from traffic counts , 1980 .

[31]  Shing Chung Josh Wong,et al.  Estimation of time-dependent origin–destination matrices for transit networks , 1998 .

[32]  Jules J Berman,et al.  Perl: The Programming Language , 2008 .

[33]  Sang Nguyen,et al.  A unified framework for estimating or updating origin/destination matrices from traffic counts , 1988 .

[34]  N. F. Stewart,et al.  Bregman's balancing method , 1981 .

[35]  George Kocur,et al.  An Implementation of a Shortest Augmenting Path Algorithm for the Assignment Problem , 1991, Network Flows And Matching.

[36]  Gary Henderson,et al.  REGULARITY INDICES FOR EVALUATING TRANSIT PERFORMANCE , 1991 .

[37]  Shing Chung Josh Wong,et al.  Estimation of origin-destination matrices for a multimodal public transit network , 2010 .

[38]  Agostino Nuzzolo,et al.  Transit Path Choice and Assignment Model Approaches( , 2002 .

[39]  Jinhua Zhao The planning and analysis implications of automated data collection systems : rail transit OD matrix inference and path choice modeling examples , 2004 .

[40]  Vukan R Vuchic,et al.  Urban transit systems and technology , 2007 .

[41]  Vukan R Vuchic,et al.  Urban Transit : Operations, Planning and Economics , 2005 .

[42]  Gary Henderson,et al.  SUBWAY RELIABILITY AND THE ODDS OF GETTING THERE ON TIME , 1991 .

[43]  Stefano Pallottino,et al.  Equilibrium traffic assignment for large scale transit networks , 1988 .

[44]  Incorporated Multisystems,et al.  Fare Policies, Structures, and Technologies: Update , 2003 .

[45]  M J Maher Bias in the estimation of O-D flows from link counts , 1987 .

[46]  M. Bell THE ESTIMATION OF ORIGIN-DESTINATION MATRICES BY CONSTRAINED GENERALISED LEAST SQUARES , 1991 .

[47]  Mark D. Abkowitz TRANSIT SERVICE RELIABILITY , 1978 .

[48]  Adam B Rahbee Rail transit operations analysis : framework and applications , 2001 .

[49]  Ravindra K. Ahuja,et al.  Network Flows: Theory, Algorithms, and Applications , 1993 .

[50]  Fumitaka Kurauchi,et al.  Capacity Constrained Transit Assignment with Common Lines , 2003, J. Math. Model. Algorithms.

[51]  Harinarayan Paramahamsan Fundamental properties of Synthetic O-D Generation Formulations and Solutions , 1999 .

[52]  Zhan Guo,et al.  Transfers and path choice in urban public transport systems , 2008 .

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

[54]  H Spiess A GRADIENT APPROACH FOR THE O-D MATRIX ADJUSTMENT PROBLEM , 1990 .

[55]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[56]  William H. K. Lam,et al.  Estimation of origin‐destination matrix from traffic counts: a comparison of entropy maximizing and information minimizing models , 1991 .

[57]  S. Bekhor,et al.  Route Choice Models Used in the Stochastic User Equilibrium Problem: A Review , 2004 .

[58]  Laura Cecilia Cham Understanding bus service reliability : a practical framework using AVL/APC data , 2006 .

[59]  Roberto Cominetti,et al.  A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria , 2006 .

[60]  E. Cascetta Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator , 1984 .

[61]  Michael Florian,et al.  Optimal strategies: A new assignment model for transit networks , 1989 .

[62]  Peter G Furth,et al.  Service Reliability and Optimal Running Time Schedules , 2007 .

[63]  Moshe Ben-Akiva,et al.  ALTERNATIVE METHODS TO ESTIMATE ROUTE-LEVEL TRIP TABLES AND EXPAND ON-BOARD SURVEYS , 1985 .

[64]  M. F.,et al.  Bibliography , 1985, Experimental Gerontology.

[65]  J. Darroch,et al.  Generalized Iterative Scaling for Log-Linear Models , 1972 .

[66]  Otto Anker Nielsen Two new methods for estimating Trip Matrices from Traffic Counts , 1998 .

[67]  Michael G.H. Bell,et al.  A Solution to the Transit Assignment Problem , 2004 .

[68]  Nigel H. M. Wilson,et al.  DWELL TIME RELATIONSHIPS FOR LIGHT RAIL SYSTEMS , 1992 .

[69]  M. Baucus Transportation Research Board , 1982 .

[70]  B. Brun,et al.  Automatic OD-matrix estimation based on counting and weighing trains , 2008 .

[71]  G. Currie,et al.  The Impacts of Transit Reliability on Wait Time: Insights from Automated Fare Collection System Data , 2007 .

[72]  Peter G Furth,et al.  Using Archived AVL-APC Data to Improve Transit Performance and Management , 2006 .

[73]  K. Small,et al.  The economics of urban transportation , 2007 .

[74]  David Louis Uniman,et al.  Service reliability measurement framework using smart card data : application to the London Underground , 2009 .

[75]  John N. Tsitsiklis,et al.  Introduction to linear optimization , 1997, Athena scientific optimization and computation series.

[76]  José R. Correa,et al.  Common-Lines and Passenger Assignment in Congested Transit Networks , 2001, Transp. Sci..

[77]  Kelvin Buneman AUTOMATED AND PASSENGER-BASED TRANSIT PERFORMANCE MEASURES , 1984 .

[78]  Ulrich Weidmann,et al.  PASSENGER ARRIVAL RATES AT PUBLIC TRANSPORT STATIONS , 2007 .

[79]  Jinhua Zhao,et al.  Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems , 2007, Comput. Aided Civ. Infrastructure Eng..

[80]  Eric J. Miller,et al.  URBAN TRANSPORTATION PLANNING: A DECISION-ORIENTED APPROACH, SECOND EDITION , 2001 .

[81]  Ravindra K. Ahuja,et al.  Network Flows , 2011 .

[82]  Eric J. Miller,et al.  URBAN TRANSPORTATION PLANNING: A DECISION-ORIENTED APPROACH , 1984 .

[83]  M. Wardman A REVIEW OF BRITISH EVIDENCE ON TIME AND SERVICE QUALITY VALUATIONS , 2001 .

[84]  Kittelson,et al.  A Guidebook for Developing a Transit Performance-Measurement System , 2003 .

[85]  T. P. Hutchinson,et al.  A Behavioural Explanation of the Association Between Bus and Passenger Arrivals at a Bus Stop , 1975 .

[86]  Umberto Crisalli,et al.  The Schedule-Based Approach in Dynamic Transit Modelling: A General Overview , 2004 .