Modeling Bus Dwell Time and Time Lost Serving Stop in China

The primary objective of this study was to develop a quantitative approach to estimate bus dwell time and time lost serving stop, which included acceleration and deceleration time, dead time, and time for serving boarding and alighting passengers. A polynomial model incorporating kinematics of a particle was derived for estimating bus acceleration and deceleration time. In addition, descriptive statistics methods were used to analyze dead time. A case study was conducted to show the applicability of the proposed model with data collected from the seven most common types of bus stops in China. R-square and Mean Absolute Percentage Error (MAPE) were calculated to be 0.8840 and 13.20% for non-peak and 0.8387 and 13.46% for peak, indicating the method was well-validated and could be practically used in China. Further research can be conducted to investigate the effects of different weather conditions and locations on the performance of the proposed method.

[1]  Herbert S Levinson,et al.  ANALYZING TRANSIT TRAVEL TIME PERFORMANCE , 1983 .

[2]  Yaser E. Hawas,et al.  Simulation-Based Regression Models to Estimate Bus Routes and Network Travel Times , 2013 .

[3]  Qiang Meng,et al.  Bus dwell time estimation at bus bays: A probabilistic approach , 2013 .

[4]  Luis Ferreira,et al.  Influence of Platform Walking on BRT Station Bus Dwell Time Estimation: Australian Analysis , 2010 .

[5]  Sumeet Jaiswal,et al.  Busway platform bus capacity analysis , 2010 .

[6]  Fang Zhao,et al.  Simulation Model for Estimating Bus Dwell Time by Simultaneously Considering Numbers of Disembarking and Boarding Passengers , 2006 .

[7]  Yuwei Li,et al.  On the capacity of isolated, curbside bus stops , 2010 .

[8]  Ning Zhu,et al.  Bus service time estimation model for a curbside bus stop , 2015 .

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

[10]  Rodrigo Fernandez,et al.  Modelling public transport stops by microscopic simulation , 2008 .

[11]  Wei Wang,et al.  Modeling level-of-safety for bus stops in China , 2016, Traffic injury prevention.

[12]  Richard P. Guenthner,et al.  TRANSIT DWELL TIME UNDER COMPLEX FARE STRUCTURE , 1988 .

[13]  Herbert S Levinson,et al.  OPERATIONAL ANALYSIS OF BUS LANES ON ARTERIALS , 1997 .

[14]  Jonathan Levine,et al.  DWELL-TIME EFFECTS OF LOW-FLOOR BUS DESIGN , 1994 .

[15]  黒田 孝次,et al.  Highway Capacity Manual改訂の動向--テイラ-教授の講演より , 1984 .

[16]  Steve Callas,et al.  DETERMINANTS OF BUS DWELL TIME , 2004 .

[17]  Steve Robinson.  Measuring Bus Stop Dwell Time and Time Lost Serving Stop with London iBus Automatic Vehicle Location Data , 2013 .

[18]  M. Townes.  TCRP Report 19: Guidelines for the Location and Design of Bus Stops , 2000 .

[19]  Ziyou Gao,et al.  Road Capacity at Bus Stops with Mixed Traffic Flow in China , 2009 .

[20]  Yu Jiang,et al.  Reliability-Based Transit Assignment for Congested Stochastic Transit Networks , 2011, Comput. Aided Civ. Infrastructure Eng..

[21]  Calgary,et al.  Transit Capacity and Quality of Service Manual, 2nd Edition , 2003 .

[22]  K. Ramachandra Rao,et al.  An Adaptive Long-Term Bus Arrival Time Prediction Model with Cyclic Variations , 2015 .

[23]  Zhiyuan Liu,et al.  Robust optimization model of bus transit network design with stochastic travel time , 2013 .

[24]  Yinghui Wu,et al.  A stochastic optimization model for transit network timetable design to mitigate the randomness of traveling time by adding slack time , 2015 .

[25]  H. W. Ho,et al.  Schedule-based transit assignment model with vehicle capacity and seat availability , 2011 .

[26]  Peter G Furth,et al.  Part 4: Capacity and Quality of Service: Service Reliability and Hidden Waiting Time: Insights from Automatic Vehicle Location Data , 2006 .

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

[28]  Martin N. Milkovits.  Modeling the Factors Affecting Bus Stop Dwell Time , 2008 .

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

[30]  Fabien Leurent,et al.  A traffic assignment model for passenger transit on a capacitated network: Bi-layer framework, line sub-models and large-scale application , 2014 .

[31]  Alejandro Tirachini,et al.  Bus dwell time: the effect of different fare collection systems, bus floor level and age of passengers , 2013 .