摘要
在一维元胞自动机交通流WWH模型和SDNS模型的基础上,建立了考虑驾驶方式改变的元胞自动机模型(Change-CA模型).具体描述为驾驶员可根据交通环境选择不同的驾驶方式在道路上驾车行驶,以各自的演化规则进行状态更新,同时定义了驾驶方式更新原则.通过计算机数值模拟,发现驾驶方式可变时,模型模拟得到的混合交通流流量较大;保守型驾驶方式对交通流变化的影响随改变概率增大而减少.并且在演化过程中,驾驶方式改变频率的变化趋势与改变概率、安全概率密切相关.与NS模型和SDNS模型相比,Change-CA模型减少了车流的整体停滞现象,提高了道路的通行能力.
Based on the WWH and SDNS cellular automata （CA） traffic model, an improved single lane traffic CA model with consideration of the change of driving rules is proposed. The model considers the drivers adopting different driving rules under mutative traffic condition, and introduces the rules of driving method change. Numerical simulations have been carried out. The results show the complicated evolution process of traffic flow. Different values of change probability have different effect on mixed traffic flow. With the increase of change probability, aggressive vehicles cause greater effect. In the evolution process, the change frequency can be controlled by the definition of the change probability and safety probability. The traffic flow is higher in the new model than in the NS and SDNS model. This proves that the stop status of the whole traffic flow has been improved.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2009年第7期4514-4522,共9页
Acta Physica Sinica
基金
国家高技术研究发展计划(863)项目(批准号:2006AA12A104)
国家自然科学基金(批准号:60736046)资助的课题~~
