A new lattice hydrodynamic model for bidirectional pedestrian flow with consideration of pedestrians’ honk effect

Understanding the pedestrian behavior contributes to traffic simulation and facility design/redesign. In practice, the interactions between individual pedestrians can lead to virtual honk effect, s...

[1]  Gunnar Flötteröd,et al.  Bidirectional pedestrian fundamental diagram , 2015 .

[2]  Liang Chen,et al.  Analysis of vehicle’s safety envelope under car-following model , 2017 .

[3]  Siuming Lo,et al.  A bidirectional pedestrian flow model with the effect of friction parameter , 2014 .

[4]  A. Gupta,et al.  Effect of multi-phase optimal velocity function on jamming transition in a lattice hydrodynamic model with passing , 2015 .

[5]  A. Gupta,et al.  Analyses of the driver’s anticipation effect in a new lattice hydrodynamic traffic flow model with passing , 2014 .

[6]  C. Zhai,et al.  Analysis of drivers' characteristics on continuum model with traffic jerk effect , 2018, Physics Letters A.

[7]  Poonam Redhu,et al.  The role of passing in a two-dimensional network , 2016 .

[8]  Victor J. Blue,et al.  Cellular Automata Microsimulation of Bidirectional Pedestrian Flows , 1999 .

[9]  Ge Hong-Xia,et al.  A Lattice Model for Bidirectional Pedestrian Flow on Gradient Road , 2014 .

[10]  Gunnar G. Løvås,et al.  Modeling and Simulation of Pedestrian Traffic Flow , 1994 .

[11]  Cong Zhai,et al.  Lattice hydrodynamic model-based feedback control method with traffic interruption probability , 2019 .

[12]  Weitiao Wu,et al.  Lattice hydrodynamic modeling with continuous self-delayed traffic flux integral and vehicle overtaking effect , 2020 .

[13]  A. Gupta,et al.  Jamming transitions and the effect of interruption probability in a lattice traffic flow model with passing , 2015 .

[14]  Rui Jiang,et al.  Honk effect in the two-lane cellular automaton model for traffic flow , 2005 .

[15]  Ronghui Liu,et al.  Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology , 2019, Transportation Research Part E: Logistics and Transportation Review.

[16]  Tao Chen,et al.  A new lattice hydrodynamic model for bidirectional pedestrian flow considering the visual field effect , 2014 .

[17]  Poonam Redhu,et al.  Effect of forward looking sites on a multi-phase lattice hydrodynamic model , 2016 .

[18]  Hua Kuang,et al.  Lattice hydrodynamic model of pedestrian flow considering the asymmetric effect , 2012 .

[19]  Rongjun Cheng,et al.  An improved lattice hydrodynamic model considering the “backward looking” effect and the traffic interruption probability , 2018 .

[20]  Ronghui Liu,et al.  Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour , 2017 .

[21]  Cong Zhai,et al.  An extended multi-phase lattice model with consideration of optimal current changes with memory , 2018, Cluster Computing.

[22]  Victor J. Blue,et al.  Modeling Four-Directional Pedestrian Flows , 2000 .

[23]  Subhash C. Sinha In memory of Ross M. Evan-Iwanowski October 2, 1914–March 18, 2001 , 2001 .

[24]  Ronghui Liu,et al.  Stochastic bus schedule coordination considering demand assignment and rerouting of passengers , 2019, Transportation Research Part B: Methodological.

[25]  Poonam Redhu,et al.  Jamming transition of a two-dimensional traffic dynamics with consideration of optimal current difference , 2013 .

[26]  A. Gupta,et al.  Analyses of driver’s anticipation effect in sensing relative flux in a new lattice model for two-lane traffic system , 2013 .

[27]  Cong Zhai,et al.  An extended continuum model with consideration of the self-anticipative effect , 2018 .

[28]  T. Nagatani Jamming transition in a two-dimensional traffic flow model. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[29]  Weitiao Wu,et al.  Designing robust schedule coordination scheme for transit networks with safety control margins , 2016 .

[30]  Siuming Lo,et al.  The Korteweg-de Vires Equation for Bidirectional Pedestrian Flow Model , 2013 .

[31]  Yu Xue,et al.  Exploring jamming transitions and density waves in bidirectional pedestrian traffic , 2009 .

[32]  L. F. Henderson,et al.  The Statistics of Crowd Fluids , 1971, Nature.

[33]  Victor J. Blue,et al.  Cellular automata microsimulation for modeling bi-directional pedestrian walkways , 2001 .

[34]  Wei-Zhen Lu,et al.  Lattice hydrodynamic model with bidirectional pedestrian flow , 2009 .

[35]  D. Joseph Mook,et al.  An experimental study of nonlinear dynamic system identification , 1990 .

[36]  Weitiao Wu,et al.  Stability analysis of two-lane lattice hydrodynamic model considering lane-changing and memorial effects , 2018, Modern Physics Letters B.

[37]  John Bohannon Directing the Herd: Crowds and the Science of Evacuation , 2005, Science.

[38]  Guanghan Peng,et al.  Feedback control method in lattice hydrodynamic model under honk environment , 2018, Physica A: Statistical Mechanics and its Applications.

[39]  Siuming Lo,et al.  An extended car-following model accounting for the honk effect and numerical tests , 2017 .

[40]  Huiying Wen,et al.  The effect of driver’s characteristics on the stability of traffic flow under honk environment , 2016 .

[41]  Hongzhuan Zhao,et al.  Nonlinear analysis of a new lattice hydrodynamic model with the consideration of honk effect on flux for two-lane highway , 2019, Physica A: Statistical Mechanics and its Applications.

[42]  Xue Yu,et al.  Lattice hydrodynamic model for pedestrian traffic with the next-nearest-neighbor pedestrian , 2010 .

[43]  Sapna Sharma,et al.  Lattice hydrodynamic modeling of two-lane traffic flow with timid and aggressive driving behavior , 2015 .

[44]  Tie-Qiao Tang,et al.  Impact of the honk effect on the stability of traffic flow , 2011 .

[45]  Zhongke Shi,et al.  A new lattice hydrodynamic model for bidirectional pedestrian flow with the consideration of lateral discomfort , 2015 .

[46]  Ramanpreet Kaur,et al.  Analyses of a heterogeneous lattice hydrodynamic model with low and high-sensitivity vehicles , 2018, Physics Letters A.

[47]  Cong Zhai,et al.  Car-following model based delay feedback control method with the gyroidal road , 2019, International Journal of Modern Physics C.

[48]  Yi Ding,et al.  Feedback control scheme for traffic jam and energy consumption based on two-lane traffic flow model , 2015 .

[49]  Poonam Redhu,et al.  Phase transition in a two-dimensional triangular flow with consideration of optimal current difference effect , 2014 .

[50]  Hongxia Ge,et al.  The “backward looking” effect in the lattice hydrodynamic model , 2008 .

[51]  Arvind Kumar Gupta,et al.  Delayed-feedback control in a Lattice hydrodynamic model , 2015, Commun. Nonlinear Sci. Numer. Simul..

[52]  Zhongke Shi,et al.  A novel lattice hydrodynamic model for bidirectional pedestrian flow with the consideration of pedestrian’s memory effect , 2016 .

[53]  Xingli Li,et al.  Analysis of pedestrian dynamics in counter flow via an extended lattice gas model. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[54]  Zhongke Shi,et al.  Lattice hydrodynamic model for bidirectional pedestrian flow with the consideration of pedestrian density difference , 2015 .