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

• 来源期刊: 中国物理B（英文版）
• 关键词: cellular automaton numerical simulations traffic models
• 年，卷（期）: 2019,（9）
• 页码范围: 461-472
• 页数: 12页
• 语种: 英文
• DOI: 10.1088/1674-1056/ab343b

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.