A new cellular automaton model accounting for stochasticity in traffic flow induced by heterogeneity in driving behavior  

作　　者：Xiaoyong Ni Hong Huang 倪晓勇;黄弘(Institute of Public Safety Research,Department of Engineering Physics,Tsinghua University,Beijing 100084,China;Beijing Key Laboratory of City Integrated Emergency Response Science,Tsinghua University,Beijing 100084,China)

机构地区：[1]Institute of Public Safety Research,Department of Engineering Physics,Tsinghua University,Beijing 100084,China [2]Beijing Key Laboratory of City Integrated Emergency Response Science,Tsinghua University,Beijing 100084,China

出　　处：《Chinese Physics B》2019年第9期399-409,共11页中国物理B（英文版）

基　　金：Project supported by the National Key Research and Development Program of China(Grant No.2018YFC0809900);the National Natural Science Foundation of China(Grant Nos.71774093 and 71473146)

摘　　要：A new reliable cellular automaon(CA) model designed to account for stochasticity in traffic flow induced by heterogeneity in driving behavior is presented.The proposed model differs from most existing CA models in that this new model focuses on describing traffic phenomena by coding into its rules the key idea that a vehicle's moving state is directly determined by a driver stepping on the accelerator or on the brake(the vehicle's acceleration).Acceleration obeys a deformed continuous distribution function when considering the heterogeneity in driving behavior and the safe distance, rather than equaling a fixed acceleration value with a probability, as is the rule in many existing CA models.Simulation results show that the new proposed model is capable of reproducing empirical findings in real traffic system.Moreover, this new model makes it possible to implement in-depth analysis of correlations between a vehicle's state parameters.A new reliable cellular automaon(CA) model designed to account for stochasticity in traffic flow induced by heterogeneity in driving behavior is presented.The proposed model differs from most existing CA models in that this new model focuses on describing traffic phenomena by coding into its rules the key idea that a vehicle’s moving state is directly determined by a driver stepping on the accelerator or on the brake(the vehicle’s acceleration).Acceleration obeys a deformed continuous distribution function when considering the heterogeneity in driving behavior and the safe distance, rather than equaling a fixed acceleration value with a probability, as is the rule in many existing CA models.Simulation results show that the new proposed model is capable of reproducing empirical findings in real traffic system.Moreover, this new model makes it possible to implement in-depth analysis of correlations between a vehicle’s state parameters.

关 键 词：cellular AUTOMATON numerical simulations TRAFFIC models 

分 类 号：O4[理学—物理]