An improved lattice hydrodynamic model accounting for the effect of “backward looking” and flow integral
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[1] Yu Cui,et al. The control method for the lattice hydrodynamic model , 2015, Commun. Nonlinear Sci. Numer. Simul..
[2] Wei-Zhen Lu,et al. Nonlinear analysis of a new car-following model accounting for the optimal velocity changes with memory , 2016, Commun. Nonlinear Sci. Numer. Simul..
[3] Wei-Zhen Lu,et al. Lattice hydrodynamic model with bidirectional pedestrian flow , 2009 .
[4] Jie Zhou,et al. Lattice hydrodynamic model for traffic flow on curved road , 2016 .
[5] Zhong-ke Shi,et al. An improved car-following model considering velocity fluctuation of the immediately ahead car , 2016 .
[6] Nakayama,et al. Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[7] Zhu Wen-xing,et al. A new car-following model for autonomous vehicles flow with mean expected velocity field , 2018 .
[8] Yan Chen,et al. An extended car-following model based on visual angle and backward looking effect , 2017 .
[9] Jian Zhang,et al. Modeling electric bicycle’s lane-changing and retrograde behaviors , 2018 .
[10] Xiangzhan Yu. Analysis of the stability and density waves for traffic flow , 2002 .
[11] G. Peng,et al. A new lattice model of traffic flow with the anticipation effect of potential lane changing , 2012 .
[12] Thomas Pitz,et al. A simple stochastic cellular automaton for synchronized traffic flow , 2014 .
[13] Takashi Nagatani,et al. Modified KdV equation for jamming transition in the continuum models of traffic , 1998 .
[14] Siuming Lo,et al. TDGL equation in lattice hydrodynamic model considering driver’s physical delay , 2014 .
[15] Bin Jia,et al. The stabilization effect of the density difference in the modified lattice hydrodynamic model of traffic flow , 2012 .
[16] Dihua Sun,et al. Lattice hydrodynamic traffic flow model with explicit drivers’ physical delay , 2013 .
[17] Bin Jia,et al. PHASE TRANSITIONS AND THE KORTEWEG-DE VRIES EQUATION IN THE DENSITY DIFFERENCE LATTICE HYDRODYNAMIC MODEL OF TRAFFIC FLOW , 2013 .
[18] Li Zhang,et al. A car-following model considering the effect of electronic throttle opening angle under connected environment , 2016 .
[19] Tie-Qiao Tang,et al. An extended two-lane car-following model accounting for inter-vehicle communication , 2018 .
[20] Rongjun Cheng,et al. TDGL and mKdV equations for car-following model considering traffic jerk and velocity difference , 2017 .
[21] Shi Wei,et al. Study on stability and energy consumption in typical car-following models , 2007 .
[22] Qi Xin,et al. Relative velocity difference model for the car-following theory , 2018 .
[23] Wei-Zhen Lu,et al. Impact of the traffic interruption probability of optimal current on traffic congestion in lattice model , 2015 .
[24] Michael Schreckenberg,et al. A cellular automaton model for freeway traffic , 1992 .
[25] Du Jun,et al. A compound compensation method for car-following model , 2016, Commun. Nonlinear Sci. Numer. Simul..
[26] Tie-Qiao Tang,et al. A macro traffic flow model accounting for road capacity and reliability analysis , 2013 .
[27] Arvind Kumar Gupta,et al. Delayed-feedback control in a Lattice hydrodynamic model , 2015, Commun. Nonlinear Sci. Numer. Simul..
[28] Hai-Jun Huang,et al. Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions , 2015 .
[29] H. M. Zhang,et al. Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model , 2017 .
[30] Wen-Xing Zhu,et al. Analysis of car-following model with cascade compensation strategy , 2016 .
[31] Jian Zhang,et al. A cellular automation model accounting for bicycle’s group behavior , 2018 .
[32] Min Zhang,et al. Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference , 2011 .
[33] Rongjun Cheng,et al. An extended macro traffic flow model accounting for multiple optimal velocity functions with different probabilities , 2017 .
[34] Dirk Helbing,et al. Derivation of non-local macroscopic traffic equations and consistent traffic pressures from microscopic car-following models , 2008, 0805.3400.
[35] Huang Hai-Jun,et al. An improved two-lane traffic flow lattice model , 2006 .
[36] D. Ngoduy. Generalized macroscopic traffic model with time delay , 2014 .
[37] Sukanta Das,et al. Cellular automata based traffic model that allows the cars to move with a small velocity during congestion , 2011 .
[38] T. Nagatani. Jamming transition in a two-dimensional traffic flow model. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[39] Siuming Lo,et al. An Extended Car‐Following Model With Consideration of the Driver's Memory and Control Strategy , 2018 .
[40] N. Moussa,et al. Numerical study of two classes of cellular automaton models for traffic flow on a two-lane roadway , 2003 .
[41] Haijun Huang,et al. An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests , 2017 .
[42] G. H. Peng,et al. A novel macro model of traffic flow with the consideration of anticipation optimal velocity , 2014 .
[43] Tie-Qiao Tang,et al. Effects of on-ramp on the fuel consumption of the vehicles on the main road under car-following model , 2015 .
[44] Nan Zheng,et al. Modelling the driving behaviour at a signalised intersection with the information of remaining green time , 2017 .
[45] Ge Hong-Xia,et al. An extended continuum model considering optimal velocity change with memory and numerical tests , 2018 .
[46] Rongjun Cheng,et al. An improved lattice hydrodynamic model considering the “backward looking” effect and the traffic interruption probability , 2018 .
[47] Rongjun Cheng,et al. An improved continuum model for traffic flow considering driver's memory during a period of time and numerical tests , 2017 .
[48] Tie-Qiao Tang,et al. A speed guidance model accounting for the driver’s bounded rationality at a signalized intersection , 2017 .
[49] Rongjun Cheng,et al. A new lattice hydrodynamic model based on control method considering the flux change rate and delay feedback signal , 2018 .
[50] Hongxia Ge,et al. The “backward looking” effect in the lattice hydrodynamic model , 2008 .
[51] Rongjun Cheng,et al. Nonlinear density wave investigation for an extended car-following model considering driver’s memory and jerk , 2018 .
[52] Dihua Sun,et al. A new car-following model with consideration of anticipation driving behavior , 2012 .