Public Transit Service Reliability Assessment using Two-Fluid Model

This study introduces a traffic flow theory-based reliability indicator to evaluate the inter-city public transit service. The two-fluid theory parameter n that measures the road networks’ resilience to changing traffic is used as a new reliability indicator of public bus service. We compared the performance of the new indicator with the three existing reliability indicators, including on-time performance, with a total of 52 different GO Bus routes to ascertain the usability of the new indicator. The GO Bus service is an inter-city bus service operated by Metrolinx in the Greater Toronto and Hamilton areas in Ontario, Canada. We used 1 month of GO Bus GPS data collected in July 2017 to estimate various public transit reliability indictors. We also investigated the relationship between reliability indicators and selected roadway network characteristics, such as route length, freeway ratio, intersection density along a route, and so forth. The study applied a series of statistical analyses, including principal component analysis, correlation analysis, and z-test using Fisher’s z transformation. The results showed that the proposed two-fluid indicator n can be used as a supplementary reliability indicator for assessing road networks’ resilience in regards to changing traffic flow conditions. The new indicator provided additional insights for inter-city bus service operators for initiating communication with roadway governing agencies for the purpose of improving road networks to further improve public transit service reliability.

[1]  Yeong-Chan Kim,et al.  Analysis of the Macroscopic Traffic Flow Changes using the Two-Fluid Model by the Improvements of the Traffic Signal Control System , 2009 .

[2]  Seung Kook Wu,et al.  Adaptive traffic control effect on arterial travel time charateristics , 2009 .

[3]  Giovanni Longo,et al.  Estimation of Transit Reliability Level-of-Service Based on Automatic Vehicle Location Data , 2005 .

[4]  Chungwon Lee,et al.  CHARACTERIZING URBAN NETWORK PERFORMANCE USING TWO-FLUID MODEL , 2005 .

[5]  Siamak Ardekani,et al.  Characterizing Traffic Conditions in Urban Areas , 1984, Transp. Sci..

[6]  Amer Shalaby,et al.  Evaluation of Bus Reliability Measures and Development of a New Composite Indicator , 2015 .

[7]  Alexandre G. de Barros,et al.  Calibration of the Two-Fluid Model with Third-Party Crowdsourced Data - A Procedure and Evaluation , 2018 .

[8]  Stephen P. Mattingly,et al.  Comparison of Quality of Service in Two Central Business Districts , 2007 .

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

[10]  Graham Currie,et al.  Assessing measures of transit travel time variability and reliability using AVL data , 2008 .

[11]  Siamak Ardekani,et al.  An observational study of the network-level traffic variables , 1998 .

[12]  Chungwon Lee,et al.  ANALYSIS OF TWO-FLUID MODEL USING GPS DATA , 2005 .

[13]  Ahmed M El-Geneidy,et al.  Bus Transit Service Reliability and Improvement Strategies: Integrating the Perspectives of Passengers and Transit Agencies in North America , 2015 .

[14]  Elizabeth G. Jones,et al.  Validation of Two-Fluid Model of Urban Traffic for Arterial Streets , 2004 .

[15]  Timothy J Lomax,et al.  SELECTING TRAVEL RELIABILITY MEASURES , 2003 .

[16]  Yunlong Zhang,et al.  Analyzing Urban Bus Service Reliability at the Stop, Route and Network Levels , 2009 .

[17]  Avishai Polus,et al.  MODELING AND MEASUREMENTS OF BUS SERVICE RELIABILITY , 1978 .

[18]  Wei Feng,et al.  Definition and Properties of Alternative Bus Service Reliability Measures at the Stop Level , 2012 .

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

[20]  Mohamed Abdel-Aty,et al.  A stochastic catastrophe model using two-fluid model parameters to investigate traffic safety on urban arterials. , 2011, Accident; analysis and prevention.

[21]  Zhou Xiang,et al.  Network-wide Performance Assessment of Urban Traffic Based on Probe Vehicle Data , 2007, 2007 IEEE Intelligent Transportation Systems Conference.

[22]  D. Hensher.  Sustainable Public Transport Systems: Moving Towards a Value for Money and Network-Based Approach and Away from Blind Commitment , 2007 .

[23]  Vinayak Dixit,et al.  The Calibration and Validation of Microscopic Simulation Using the Two-Fluid Model , 2011 .

[24]  Siamak Ardekani,et al.  INFLUENCE OF URBAN NETWORK FEATURES ON QUALITY OF TRAFFIC SERVICE , 1992 .

[25]  Amer Shalaby,et al.  Use of Automated Vehicle Location Data for Route- and Segment-Level Analyses of Bus Route Reliability and Speed , 2017 .

[26]  Siamak Ardekani.  The two-fluid characterization of urban traffic : theory, observation, and experiment , 1984 .

[27]  Zhenliang Ma,et al.  Modeling distributions of travel time variability for bus operations , 2016 .

[28]  I. Prigogine,et al.  A Two-Fluid Approach to Town Traffic , 1979, Science.