Framework of microscopic traffic flow simulation on highway infrastructure system under hazardous driving conditions

Abstract A typical highway system includes infrastructures, such as roadways and bridges, and moving traffic flow. The resilience of a highway system subjected to various hazards depends on not only post-hazard integrity of infrastructure, but also safe and smooth movements of vehicles through the system during and immediately following hazards. To rationally predict the post-hazard performance of a highway system including both structural integrity and traffic functionality, an advanced traffic flow simulation tool of a highway system under hazardous conditions is needed. A new cellular automaton (CA)-based traffic flow simulation framework is developed for the traffic flow simulation on a typical highway system including a long-span bridge under hazardous conditions by incorporating limited deceleration rate, anticipation effect, realistic vehicle properties, and different driving behaviors. A demonstrative study is carried out with the proposed framework to investigate the traffic flow characteristics and potential impacts on both infrastructure performance and vehicle safety.

[1]  Ghulam H Bham,et al.  COMPARISON OF CHARACTERISTICS AND COMPUTATIONAL PERFORMANCE : CAR- FOLLOWING VERSUS CELLULAR AUTOMATA MODELS , 2003 .

[2]  Cen Nie,et al.  A two-lane cellular automaton traffic flow model with the influence of driver, vehicle and road , 2016 .

[3]  Suren Chen,et al.  Dynamic Performance Simulation of Long-Span Bridge under Combined Loads of Stochastic Traffic and Wind , 2010 .

[4]  Lawrence W. Lan,et al.  Inhomogeneous cellular automata modeling for mixed traffic with cars and motorcycles , 2005 .

[5]  Suren Chen,et al.  Simulation-Based Assessment of Vehicle Safety Behavior under Hazardous Driving Conditions , 2010 .

[6]  P. Vignal [Traffic safety]. , 1952, Gazette medicale de France.

[7]  Min Zhou,et al.  MODELING DRIVER BEHAVIOR ON URBAN STREETS , 2007 .

[8]  Jun Wu,et al.  Multi-scale traffic safety and operational performance study of large trucks on mountainous interstate highway. , 2011, Accident; analysis and prevention.

[9]  Suren Chen,et al.  Framework of vehicle–bridge–wind dynamic analysis , 2004 .

[10]  S. Rajeswaran Modeling and Simulation of Traffic Flow Using Cellular Automata , 2013 .

[11]  M. Schreckenberg,et al.  Microscopic Simulation of Urban Traffic Based on Cellular Automata , 1997 .

[12]  T Oketch,et al.  Evaluation of performance of modern roundabouts using PARAMICS micro-simulation model , 2004 .

[13]  Neil F. Johnson,et al.  Cellular automata models of traffic flow along a highway containing a junction , 1996 .

[14]  Ludovic Leclercq,et al.  A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[15]  Suren Chen,et al.  Modeling stochastic live load for long-span bridge based on microscopic traffic flow simulation , 2011 .

[16]  Roland Chrobok,et al.  A High‐Resolution Cellular Automata Traffic Simulation Model with Application in a Freeway Traffic Information System , 2004 .

[17]  杨梦龙,et al.  A New Cellular Automata Model Considering Finite Deceleration and Braking Distance , 2007 .

[18]  Luis Alvarez-Icaza,et al.  Cellular automaton model for traffic flow based on safe driving policies and human reactions , 2010 .

[19]  C. S. Cai,et al.  Equivalent Wheel Load Approach for Slender Cable-Stayed Bridge Fatigue Assessment under Traffic and Wind: Feasibility Study , 2007 .

[20]  You-Lin Xu,et al.  Dynamic analysis of coupled road vehicle and cable-stayed bridge systems under turbulent wind , 2003 .

[21]  A. Schadschneider,et al.  Metastable states in cellular automata for traffic flow , 1998, cond-mat/9804170.

[22]  DongFan Xie,et al.  Cellular Automaton Modeling with Timid and Aggressive Driving Behavior , 2013 .

[23]  Esteban Clua,et al.  A new stochastic cellular automata model for traffic flow simulation with drivers' behavior prediction , 2015, J. Comput. Sci..

[24]  Eugene J. O'Brien,et al.  Traffic load modelling and factors influencing the accuracy of predicted extremes , 2005 .

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

[26]  K Close,et al.  AMERICAN ASSOCIATION OF STATE HIGHWAY AND TRANSPORTATION OFFICIALS COMPUTER SYSTEMS INDEX , 1976 .

[27]  Andreas Schadschneider,et al.  New kind of phase separation in a CA traffic model with anticipation , 2004 .

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

[29]  Michael Schreckenberg,et al.  Particle hopping models for two-lane traffic with two kinds of vehicles: Effects of lane-changing rules , 1997 .

[30]  Aashto,et al.  A Policy on geometric desing of highways and streets. , 1984 .

[31]  Xin-Gang Li,et al.  A realistic two-lane cellular automata traffic model considering aggressive lane-changing behavior of fast vehicle , 2006 .

[32]  X Li,et al.  Cellular automaton model considering the velocity effect of a car on the successive car. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Yamg Meng-Long,et al.  A New Cellular Automata Model Considering Finite Deceleration and Braking Distance , 2007 .

[34]  S. Emerson,et al.  AASHTO (American Association of State Highway and Transportation Officials). 2001. A Policy on Geometric Design of Highways and Streets. Fourth Edition. Washington, D.C. , 2007 .

[35]  Suren Chen,et al.  Dynamic Simulation of a Long-Span Bridge-Traffic System Subjected to Combined Service and Extreme Loads , 2015 .

[36]  Samer H. Hamdar,et al.  TOWARDS MODELING DRIVER BEHAVIOR UNDER EXTREME CONDITIONS , 2004 .