A macroscopic model with the advantages of microscopic model: A review of Cell Transmission Model's extensions for urban traffic networks

Abstract This paper reports a review of the extensions and application of the Cell Transmission Model (CTM). Those extensions are models able to simulate complex urban traffic dynamics with all the advantages of macroscopic and microscopic urban traffic model. Over the past few years researchers have been trying to increase the level of detail by extending CTM and introducing new formulations to improve the application of the model in urban traffic. The authors classified the papers while taking into consideration all those factors characterizing the urban traffic, arterial and intersection traffic flow in particular. One of the primary goals of transport research is to develop a general framework of urban traffic networks that might be applied from a realistic point of view. Recent studies about traffic simulations have shown that, among various macroscopic simulation models, the CTM has the potential to achieve this objective. We have also reported our model the CTM_UT that improves the CTM for Urban Traffic. We believe that it is possible to apply this model to ITS application, hence increase the accuracy of the macroscopic model while maintaining the computational advantages and provide an accurate prediction of travel time approach.

[1]  C Buisson,et al.  STRADA, a discretized macroscopic model of vehicular traffic flow in complex networks based on the Godunov scheme , 1996 .

[2]  Wei-Hua Lin,et al.  VALIDATING THE BASIC CELL TRANSMISSION MODEL ON A SINGLE FREEWAY LINK , 1995 .

[3]  Dirk Cattrysse,et al.  A generic class of first order node models for dynamic macroscopic simulation of traffic flows , 2011 .

[4]  Y. Xi,et al.  An Efficient Model for Urban Traffic Network Control , 2008 .

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

[6]  Hong K. Lo,et al.  A Cell-Based Traffic Control Formulation: Strategies and Benefits of Dynamic Timing Plans , 2001, Transp. Sci..

[7]  Zhao Zhang,et al.  Integration of a cell transmission model and macroscopic fundamental diagram: Network aggregation for dynamic traffic models , 2015 .

[8]  Carlos Daganzo,et al.  TECHNICAL DESCRIPTION OF NETCELL : GENERAL FRAMEWORK AND DATA STRUCTURE , 1994 .

[9]  Wen-Long Jin,et al.  Multicommodity Kinematic Wave Simulation Model for Network Traffic Flow , 2004 .

[10]  Lucas Barcelos de Oliveira,et al.  PREDICTIVE CONTROL FOR URBAN TRAFFIC NETWORKS: INITIAL EVALUATION , 2007 .

[11]  Carlos F. Daganzo,et al.  Predictability of Time-Dependent Traffic Backups and Other Reproducible Traits in Experimental Highway Data , 1999 .

[12]  Carlos F. Daganzo,et al.  A continuum theory of traffic dynamics for freeways with special lanes , 1997 .

[13]  Daiheng Ni,et al.  A simplified kinematic wave model at a merge bottleneck , 2005 .

[14]  Dirk Helbing Modeling multi-lane traffic flow with queuing effects , 1997 .

[15]  M. Lighthill,et al.  On kinematic waves I. Flood movement in long rivers , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[16]  Bernhard Friedrich,et al.  Online control of signalized networks using the Cell Transmission Model , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[17]  Yue Liu,et al.  An arterial signal optimization model for intersections experiencing queue spillback and lane blockage , 2011 .

[18]  Wang,et al.  Review of road traffic control strategies , 2003, Proceedings of the IEEE.

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

[20]  Carlos F. Daganzo,et al.  A SIMPLE PHYSICAL PRINCIPLE FOR THE SIMULATION OF FREEWAYS WITH SPECIAL LANES AND PRIORITY VEHICLES , 1997 .

[21]  Gunnar Flötteröd,et al.  Operational macroscopic modeling of complex urban road intersections , 2011 .

[22]  Ernesto Cipriani,et al.  An Urban Traffic Flow Model to Capture Complex Flow Interactions among Lane Groups for Signalized Intersections , 2014 .

[23]  Shu Lin,et al.  Urban traffic flow prediction based on road network model , 2012, Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control.

[24]  Zichuan Li,et al.  Modeling Arterial Signal Optimization with Enhanced Cell Transmission Formulations , 2011 .

[25]  Ludovica Adacher,et al.  Stochastic Optimization for Macroscopic Urban Traffic Model with Microscopic Elements , 2016, 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim).

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

[27]  Andreas Hegyi,et al.  Integrated traffic control for mixed urban and freeway networks: a model predictive control approach , 2007 .

[28]  Carlos F. Daganzo,et al.  The Netcell Simulation Package: Technical Description , 1997 .

[29]  Hong Kam Lo,et al.  Dynamic network traffic control , 2001 .

[30]  Wen-Long Jin,et al.  A modified Cell Transmission Model with realistic queue discharge features at signalized intersections , 2015 .

[31]  Jean-Patrick Lebacque,et al.  First Order Macroscopic Traffic Flow Models for Networks in the Context of Dynamic Assignment , 2002 .

[32]  Ziyou Gao,et al.  Urban Traffic Jam Simulation Based on the Cell Transmission Model , 2011 .

[33]  Jie Yu,et al.  A Lane-group Based Macroscopic Model for Signalized Intersections Account for Shared Lanes and Blockages , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[34]  Roberto Horowitz,et al.  Optimal freeway ramp metering using the asymmetric cell transmission model , 2006 .

[35]  Roberto Horowitz,et al.  Piecewise-Linearized Cell Transmission Model and Parameter Calibration Methodology , 2006 .

[36]  Satish V. Ukkusuri,et al.  Unified Framework for Dynamic Traffic Assignment and Signal Control with Cell Transmission Model , 2012 .

[37]  Ludovica Adacher,et al.  A New Methodology to Calibrate the Congestion Wave for the Cell Transmission Model for Urban Traffic , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[38]  Marios M. Polycarpou,et al.  Distributed Traffic Signal Control Using the Cell Transmission Model via the Alternating Direction Method of Multipliers , 2015, IEEE Transactions on Intelligent Transportation Systems.

[39]  Liang Shi,et al.  Modeling and control of signaling split in urban traffic network based on hybrid systems , 2010, 2010 Sixth International Conference on Natural Computation.

[40]  W. Y. Szeto,et al.  A cell-based variational inequality formulation of the dynamic user optimal assignment problem , 2002 .

[41]  S. Hoogendoorn,et al.  Continuum modeling of multiclass traffic flow , 2000 .

[42]  Nagui M. Rouphail PROGRESSION ADJUSTMENT FACTORS AT SIGNALIZED INTERSECTIONS , 1989 .

[43]  Pengfei Shao,et al.  A Distributed Traffic Control Strategy Based on Cell-Transmission Model , 2018, IEEE Access.

[44]  Pravin Varaiya,et al.  Modeling and software tools for freeway operational planning , 2007 .

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

[46]  Ciprian Alecsandru,et al.  Improvement and Evaluation of Cell-Transmission Model for Operational Analysis of Traffic Networks: Freeway Case Study , 2006 .

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

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

[49]  Ludovica Adacher,et al.  A Distributed Approach for Traffic Signal Synchronization Problem , 2016, 2016 Third International Conference on Mathematics and Computers in Sciences and in Industry (MCSI).

[50]  Ludovica Adacher,et al.  A New Node Model based on CTM-UT with Capacity Determination , 2015 .