Microscopic driving theory with oscillatory congested states: Model and empirical verification

The essential distinction between the Fundamental Diagram Approach (FDA) and Kerner’s three-phase theory (KTPT) is the existence of a unique gap–speed (or flow–density) relationship in the former class. In order to verify this relationship, empirical data are analyzed with the following findings: (1) linear relationship between the actual space gap and speed can be identified when the speed difference between vehicles approximates zero; (2) vehicles accelerate or decelerate around the desired space gap most of the time. To explain these phenomena, we propose that, in congested traffic flow, the space gap between two vehicles will oscillate around the desired space gap in the deterministic limit. This assumption is formulated in terms of a cellular automaton. In contrast to FDA and KTPT, the new model does not have any congested steady-state solution. Simulations under periodic and open boundary conditions reproduce the empirical findings of KTPT. Calibrating and validating the model to detector data produces results that are better than that of previous studies.

[1]  A. Schadschneider,et al.  Single-vehicle data of highway traffic: a statistical analysis. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[2]  Carlos F. Daganzo,et al.  Fundamentals of Transportation and Traffic Operations , 1997 .

[3]  Hubert Rehborn,et al.  An empirical study of common traffic congestion features based on traffic data measured in the USA, the UK, and Germany , 2011 .

[4]  Harold J Payne,et al.  FREFLO: A MACROSCOPIC SIMULATION MODEL OF FREEWAY TRAFFIC , 1979 .

[5]  Tao Wang,et al.  Cellular automaton model in the fundamental diagram approach reproducing the synchronized outflow of wide moving jams , 2012 .

[6]  T. Nagatani The physics of traffic jams , 2002 .

[7]  Nakayama,et al.  Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[8]  Martin Treiber,et al.  How Reaction Time, Update Time, and Adaptation Time Influence the Stability of Traffic Flow , 2008, Comput. Aided Civ. Infrastructure Eng..

[9]  D. Helbing,et al.  Theoretical vs. empirical classification and prediction of congested traffic states , 2009, 0903.0929.

[10]  Lily Elefteriadou An Introduction to Traffic Flow Theory , 2013 .

[11]  K. Ahmed Modeling drivers' acceleration and lane changing behavior , 1999 .

[12]  Peter Wagner How human drivers control their vehicle , 2006 .

[13]  H. C. Dickinson,et al.  THE PHOTOGRAPHIC METHOD OF STUDYING TRAFFIC BEHAVIOR , 1934 .

[14]  Peter Wagner,et al.  Fluid-dynamical and microscopic description of traffic flow: a data-driven comparison , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[15]  B. Kerner,et al.  EXPERIMENTAL PROPERTIES OF PHASE TRANSITIONS IN TRAFFIC FLOW , 1997 .

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

[17]  Boris S Kerner,et al.  Microscopic theory of spatial-temporal congested traffic patterns at highway bottlenecks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Michael Schreckenberg,et al.  Mechanical restriction versus human overreaction triggering congested traffic states. , 2004, Physical review letters.

[19]  Michel Rascle,et al.  Resurrection of "Second Order" Models of Traffic Flow , 2000, SIAM J. Appl. Math..

[20]  B. Kerner The Physics of Traffic: Empirical Freeway Pattern Features, Engineering Applications, and Theory , 2004 .

[21]  Ludger Santen,et al.  LETTER TO THE EDITOR: Towards a realistic microscopic description of highway traffic , 2000 .

[22]  Michael Schreckenberg,et al.  Simple cellular automaton model for traffic breakdown, highway capacity, and synchronized flow. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  P. G. Gipps,et al.  A behavioural car-following model for computer simulation , 1981 .

[24]  Frank A. Haight,et al.  Mathematical Theories of Traffic Flow , 2012 .

[25]  Peter Wagner,et al.  Calibration and Validation of Microscopic Models of Traffic Flow , 2005 .

[26]  Martin Treiber,et al.  Traffic Flow Dynamics , 2013 .

[27]  Michael Schreckenberg,et al.  Probabilistic physical characteristics of phase transitions at highway bottlenecks: incommensurability of three-phase and two-phase traffic-flow theories. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  Gordon F. Newell,et al.  A simplified car-following theory: a lower order model , 2002 .

[29]  Mao-Bin Hu,et al.  Traffic Experiment Reveals the Nature of Car-Following , 2014, PloS one.

[30]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[31]  Boris S. Kerner,et al.  Deterministic microscopic three-phase traffic flow models , 2006 .

[32]  S.J.L. Ossen,et al.  Longitudinal driving behavior: Theory and empirics , 2008 .

[33]  D. Helbing Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

[34]  Robert Herman,et al.  Traffic Dynamics: Analysis of Stability in Car Following , 1959 .

[35]  B. Kerner Criticism of generally accepted fundamentals and methodologies of traffic and transportation theory: A brief review , 2013 .

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

[37]  Hubert Rehborn,et al.  Traffic Prediction of Congested Patterns , 2009, Encyclopedia of Complexity and Systems Science.

[38]  Shuyan He,et al.  Explaining traffic patterns at on-ramp vicinity by a driver perception model in the framework of three-phase traffic theory , 2010 .

[39]  Xin-Gang Li,et al.  Cellular automaton model with time gap dependent randomisation under Kerner's three-phase traffic theory , 2011 .

[40]  Dirk Helbing,et al.  Understanding widely scattered traffic flows, the capacity drop, and platoons as effects of variance-driven time gaps. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[41]  Hannes Hartenstein,et al.  Vehicular Traffic Flow Theory: Three, Not Two Phases [review of "Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory; Kerner, B.S.; 2009) ] , 2010, IEEE Vehicular Technology Magazine.

[42]  Kerner,et al.  Experimental properties of complexity in traffic flow. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[43]  Hai-Jun Huang,et al.  Stability of the car-following model on two lanes. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[44]  D. L. Gerlough,et al.  Traffic flow theory : a monograph , 1975 .

[45]  Rui Jiang,et al.  First order phase transition from free flow to synchronized flow in a cellular automata model , 2005 .

[46]  Davis Lc Effect of adaptive cruise control systems on traffic flow. , 2004 .

[47]  Boris S. Kerner,et al.  Cellular automata approach to three-phase traffic theory , 2002, cond-mat/0206370.

[48]  D. Wolf,et al.  Traffic and Granular Flow , 1996 .

[49]  Michael Schreckenberg,et al.  A cellular automaton model for freeway traffic , 1992 .

[50]  Ghulam H Bham,et al.  A HIGH FIDELITY TRAFFIC SIMULATION MODEL BASED ON CELLULAR AUTOMATA AND CAR-FOLLOWING CONCEPTS , 2004 .

[51]  Stephen Graham Ritchie,et al.  TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES , 1993 .

[52]  N. Geroliminis,et al.  Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship , 2007 .

[53]  G. Whitham,et al.  Linear and Nonlinear Waves , 1976 .

[54]  Wilhelm Leutzbach,et al.  Introduction to the Theory of Traffic Flow , 1987 .

[55]  Dirk Helbing,et al.  Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts , 2010, 1004.5545.

[56]  Boris S Kerner,et al.  Complexity of spatiotemporal traffic phenomena in flow of identical drivers: explanation based on fundamental hypothesis of three-phase theory. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[57]  P. Wagner,et al.  Metastable states in a microscopic model of traffic flow , 1997 .

[58]  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.

[59]  A. Schadschneider,et al.  Statistical physics of vehicular traffic and some related systems , 2000, cond-mat/0007053.

[60]  B. Kerner,et al.  A microscopic model for phase transitions in traffic flow , 2002 .

[61]  Peter Wagner,et al.  Analyzing fluctuations in car-following , 2012 .

[62]  Bin Jia,et al.  Cellular automaton model within the fundamental-diagram approach reproducing some findings of the three-phase theory , 2012 .

[63]  Boris S. Kerner,et al.  Deterministic approach to microscopic three-phase traffic theory , 2005, physics/0507120.

[64]  Rui Jiang,et al.  Cellular automata models for synchronized traffic flow , 2003 .

[65]  Rui Jiang,et al.  Cellular-automaton model with velocity adaptation in the framework of Kerner's three-phase traffic theory. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[66]  L. Craig Davis,et al.  Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory , 2009 .

[67]  Nikolas Geroliminis,et al.  An empirical analysis on the arterial fundamental diagram , 2011 .

[68]  Ziyou Gao,et al.  Synchronized traffic flow simulating with cellular automata model , 2009 .

[69]  Rui Jiang,et al.  Discontinuous transition from free flow to synchronized flow induced by short-range interaction between vehicles in a three-phase traffic flow model , 2009 .

[70]  Michael Schreckenberg,et al.  Traffic and Granular Flow’01 , 2003 .

[71]  B S Kemer,et al.  THREE-PHASE TRAFFIC THEORY AND HIGHWAY CAPACITY , 2004 .

[72]  Martha Jane Shott Traffic Oscillations Due To Topology and Route Choice in Elemental Freeway Networks , 2011 .