New feedback control for a novel two-dimensional lattice hydrodynamic model considering driver’s memory effect
暂无分享,去创建一个
[1] Zhongke Shi,et al. Consensus and optimal speed advisory model for mixed traffic at an isolated signalized intersection , 2019 .
[2] Dai Shi-qiang,et al. AN IMPROVED ONE-DIMENSIONAL CELLULAR AUTOMATON MODEL OF TRAFFIC FLOW AND THE EFFECT OF DECELERATION PROBABILITY , 2001 .
[3] Zhongke Shi,et al. Impacts analysis of car following models considering variable vehicular gap policies , 2018, Physica A: Statistical Mechanics and its Applications.
[4] Jufeng Wang,et al. An improved lattice hydrodynamic model considering the driver’s desire of driving smoothly , 2019 .
[5] Xia Wu,et al. Effects of the prevision relative velocity on traffic dynamics in the ACC strategy , 2019 .
[6] Dihua Sun,et al. A new lattice hydrodynamic model with the consideration of flux change rate effect , 2018 .
[7] Wei Zhang,et al. Path optimization of taxi carpooling , 2018, PloS one.
[8] Yu Cui,et al. The control method for the lattice hydrodynamic model , 2015, Commun. Nonlinear Sci. Numer. Simul..
[9] Wen-Xing Zhu,et al. Analysis of car-following model with cascade compensation strategy , 2016 .
[10] Hongxia Ge,et al. Analysis of a Novel Two-Lane Lattice Hydrodynamic Model Considering the Empirical Lane Changing Rate and the Self-Stabilization Effect , 2019, IEEE Access.
[11] Rongjun Cheng,et al. An extended car-following model considering driver’s memory and average speed of preceding vehicles with control strategy , 2019, Physica A: Statistical Mechanics and its Applications.
[12] T. Nagatani. Jamming transition in a two-dimensional traffic flow model. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[13] Kentaro Hirata,et al. Decentralized delayed-feedback control of an optimal velocity traffic model , 2000 .
[14] Qi Xin,et al. Relative velocity difference model for the car-following theory , 2018 .
[15] Rongjun-Cheng,et al. Mean-field flow difference model with consideration of on-ramp and off-ramp , 2019, Physica A: Statistical Mechanics and its Applications.
[16] H. M. Zhang,et al. Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model , 2017 .
[17] Jian Zhang,et al. Modeling electric bicycle’s lane-changing and retrograde behaviors , 2018 .
[18] Ge Hong-Xia,et al. A Lattice Model for Bidirectional Pedestrian Flow on Gradient Road , 2014 .
[19] Ge Hong-Xia,et al. An extended continuum model considering optimal velocity change with memory and numerical tests , 2018 .
[20] Changxi Ma,et al. Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm , 2018, PloS one.
[21] Ramanpreet Kaur,et al. Modeling and simulation of driver’s anticipation effect in a two lane system on curved road with slope , 2017, Physica A: Statistical Mechanics and its Applications.
[22] Xiao-Mei Zhao,et al. Multiple flux difference effect in the lattice hydrodynamic model , 2012 .
[23] Rongjun Cheng,et al. An extended continuum model accounting for the driver's timid and aggressive attributions , 2017 .
[24] Rongjun Cheng,et al. An improved lattice hydrodynamic model considering the “backward looking” effect and the traffic interruption probability , 2018 .
[25] Poonam Redhu,et al. Phase transition in a two-dimensional triangular flow with consideration of optimal current difference effect , 2014 .
[26] Rongjun Cheng,et al. Lattice hydrodynamic model for traffic flow on curved road with passing , 2017, Nonlinear Dynamics.
[27] Yan Guo,et al. Mean-field velocity difference model considering the average effect of multi-vehicle interaction , 2018, Commun. Nonlinear Sci. Numer. Simul..
[28] Hai-Jun Huang,et al. A route-based traffic flow model accounting for interruption factors , 2019, Physica A: Statistical Mechanics and its Applications.
[29] Arvind Kumar Gupta,et al. Delayed-feedback control in a Lattice hydrodynamic model , 2015, Commun. Nonlinear Sci. Numer. Simul..
[30] Guanghan Peng,et al. The impact of the individual difference on traffic flow under honk environment in lattice hydrodynamic model , 2019 .
[31] Changxi Ma,et al. Developing a Coordinated Signal Control System for Urban Ring Road Under the Vehicle-Infrastructure Connected Environment , 2018, IEEE Access.
[32] Jian Zhang,et al. A cellular automation model accounting for bicycle’s group behavior , 2018 .
[33] Tie-Qiao Tang,et al. An extended two-lane car-following model accounting for inter-vehicle communication , 2018 .
[34] Ge Hong-Xia,et al. The nonlinear analysis for a new continuum model considering anticipation and traffic jerk effect , 2018 .
[35] Shiquan Zhong,et al. New control strategy for the lattice hydrodynamic model of traffic flow , 2017 .
[36] Jie Zhou,et al. Memory’s effect on bidirectional pedestrian flow based on lattice hydrodynamic model , 2019, Physica A: Statistical Mechanics and its Applications.
[37] Zhu Wen-xing,et al. A new car-following model for autonomous vehicles flow with mean expected velocity field , 2018 .
[38] Poonam Redhu,et al. The role of passing in a two-dimensional network , 2016 .
[39] Du Jun,et al. A compound compensation method for car-following model , 2016, Commun. Nonlinear Sci. Numer. Simul..
[40] Takashi Nagatani,et al. Jamming transition in traffic flow on triangular lattice , 1999 .
[41] Nakayama,et al. Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[42] Changxi Ma,et al. Distribution path robust optimization of electric vehicle with multiple distribution centers , 2018, PloS one.
[43] Takashi Nagatani,et al. Modified KdV equation for jamming transition in the continuum models of traffic , 1998 .
[44] Tianlong Gu,et al. Lattice hydrodynamic modeling of traffic flow with consideration of historical current integration effect , 2018, Physica A: Statistical Mechanics and its Applications.
[45] 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.
[46] Tie-Qiao Tang,et al. A speed guidance model accounting for the driver’s bounded rationality at a signalized intersection , 2017 .
[47] Rongjun Cheng,et al. KdV–Burgers equation in a new continuum model based on full velocity difference model considering anticipation effect , 2017 .