Integrating the Bus Vehicle Class Into the Cell Transmission Model

The traditional cell transmission model (CTM), a well-known dynamic traffic simulation method, does not cater to the presence of moving bottlenecks, which may be caused by buses traveling within a network. This may affect the dynamics of congestion that is present and may also affect route choice by all vehicles on a network. The main contribution of this paper is to provide an analytical formulation for a mixed traffic system that includes cars and buses, which realistically replicates moving bottlenecks. We modify the CTM model using methods from the lagged CTM to recognize speed differentials between the free-flow speed of buses and cars. In addition, the impact of capacity reduction caused by buses was incorporated. These developments led to the replication of moving bottlenecks caused by buses within the CTM framework. The formulated variant of CTM was utilized to determine a system optimal assignment that minimizes the total passenger travel time across cars and buses. The proposed modified CTM model, defined as the BUS-CTM, has been applied on a road link and a more detailed network to demonstrate the effectiveness of the approach. The numerical results and the depiction of the bottleneck phenomenon within the model suggests that the BUS-CTM obtains more realistic results compared with the application of the traditional CTM in a mixed car-bus transportation system. The sensitivity analysis shows that bus passenger demand, passenger occupancy of bus, and bus free-flow speeds are the key parameters that influence the system performance.

[1]  S. Travis Waller,et al.  A dynamic evacuation network optimization problem with lane reversal and crossing elimination strategies , 2010 .

[2]  S Logghe,et al.  Multi-class kinematic wave theory of traffic flow , 2008 .

[3]  Athanasios K. Ziliaskopoulos,et al.  Stochastic Dynamic Network Design Problem , 2001 .

[4]  Jorge A. Laval Stochastic Processes of Moving Bottlenecks: Approximate Formulas for Highway Capacity , 2006 .

[5]  W. Y. Szeto,et al.  Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment , 2011 .

[6]  Gordon F. Newell,et al.  A moving bottleneck , 1998 .

[7]  Pengcheng Zhang,et al.  Behavior-based analysis of freeway car-truck interactions and related mitigation strategies , 2005 .

[8]  Satish V. Ukkusuri,et al.  Modeling the Car-Truck Interaction in a System-Optimal Dynamic Traffic Assignment Model , 2014, J. Intell. Transp. Syst..

[9]  Xinkai Wu,et al.  A shockwave profile model for traffic flow on congested urban arterials , 2011 .

[10]  Nathan H. Gartner,et al.  Traffic Flow Theory - A State-of-the-Art Report: Revised Monograph on Traffic Flow Theory , 2002 .

[11]  Wei Shen,et al.  Dynamic Network Simplex Method for Designing Emergency Evacuation Plans , 2007 .

[12]  Vinayak V. Dixit,et al.  Hurricane Evacuation: Origin, Route, and Destination , 2009 .

[13]  Wei-Hua Lin,et al.  An enhanced 0-1 mixed-integer LP formulation for traffic signal control , 2004, IEEE Trans. Intell. Transp. Syst..

[14]  Xizhao Zhou,et al.  An alternative definition of dynamic user optimum on signalised road networks , 2012 .

[15]  Agachai Sumalee,et al.  Short-Term Traffic State Prediction Based on Temporal–Spatial Correlation , 2013, IEEE Transactions on Intelligent Transportation Systems.

[16]  Marc Miska,et al.  A New Multiobjective Signal Optimization for Oversaturated Networks , 2011, IEEE Transactions on Intelligent Transportation Systems.

[17]  Vinayak Dixit,et al.  Assessment of I-4 Contraflow Plans , 2008 .

[18]  Carlos F. Daganzo,et al.  THE CELL TRANSMISSION MODEL, PART II: NETWORK TRAFFIC , 1995 .

[19]  W. Y. Szeto,et al.  A cell-based dynamic traffic assignment model: Formulation and properties , 2002 .

[20]  P. I. Richards Shock Waves on the Highway , 1956 .

[21]  Denos C. Gazis,et al.  The Moving and "Phantom" Bottlenecks , 1992, Transp. Sci..

[22]  Chaodit Aswakul,et al.  Multiclass Cell Transmission Model for Heterogeneous Mobility in General Topology of Road Network , 2010, J. Intell. Transp. Syst..

[23]  Carlos F. Daganzo,et al.  MOVING BOTTLENECKS: A THEORY GROUNDED ON EXPERIMENTAL OBSERVATION , 2002 .

[24]  W. Y. Szeto,et al.  A Cell‐Based Model for Multi‐class Doubly Stochastic Dynamic Traffic Assignment , 2011, Comput. Aided Civ. Infrastructure Eng..

[25]  Bart De Schutter,et al.  IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Editor-In-Chief , 2005 .

[26]  Ludovic Leclercq,et al.  Moving Bottlenecks in Lighthill-Whitham-Richards Model: A Unified Theory , 2004 .

[27]  Lanshan Han,et al.  Complementarity formulations for the cell transmission model based dynamic user equilibrium with departure time choice, elastic demand and user heterogeneity , 2011 .

[28]  C. Daganzo THE CELL TRANSMISSION MODEL.. , 1994 .

[29]  Agachai Sumalee,et al.  Dynamic stochastic journey time estimation and reliability analysis using stochastic cell transmission model: Algorithm and case studies , 2013 .

[30]  Clermont Dupuis,et al.  An Efficient Method for Computing Traffic Equilibria in Networks with Asymmetric Transportation Costs , 1984, Transp. Sci..

[31]  Athanasios K. Ziliaskopoulos,et al.  A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem , 2000, Transp. Sci..

[32]  W. Y. Szeto,et al.  Enhanced Lagged Cell-Transmission Model for Dynamic Traffic Assignment , 2008 .

[33]  Carlos F. Daganzo,et al.  THE LAGGED CELL-TRANSMISSION MODEL , 1999 .

[34]  Jorge A. Laval Effects of geometric design on freeway capacity: Impacts of truck lane restrictions , 2009 .

[35]  Hong Kam Lo,et al.  A novel traffic signal control formulation , 1999 .

[36]  W. Y. Szeto,et al.  A CELL-BASED SIMULTANEOUS ROUTE AND DEPARTURE TIME CHOICE MODEL WITH ELASTIC DEMAND , 2004 .

[37]  Said Mammar,et al.  Cell transmission model and numerical schemes for mixed traffic , 2011, 2011 4th International Conference on Logistics.

[38]  Jean-Patrick Lebacque,et al.  Introducing Buses into First-Order Macroscopic Traffic Flow Models , 1998 .

[39]  M J Lighthill,et al.  On kinematic waves II. A theory of traffic flow on long crowded roads , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[40]  Carlos F. Daganzo,et al.  Lane-changing in traffic streams , 2006 .

[41]  Carlos F. Daganzo,et al.  On the Numerical Treatment of Moving Bottlenecks , 2003 .

[42]  H. M. Zhang,et al.  A stochastic wave propagation model , 2008 .

[43]  Satish V. Ukkusuri,et al.  Linear Programming Models for the User and System Optimal Dynamic Network Design Problem: Formulations, Comparisons and Extensions , 2008 .