Research on the stochastic behavior of traffic flow is important to understand the intrinsic evolution rules of a traffic system. By introducing an interactional potential of vehicles into the randomization step, an i...Research on the stochastic behavior of traffic flow is important to understand the intrinsic evolution rules of a traffic system. By introducing an interactional potential of vehicles into the randomization step, an improved cellular automata traffic flow model with variable probability of randomization is proposed in this paper. In the proposed model, the driver is affected by the interactional potential of vehicles before him, and his decision-making process is related to the interactional potential. Compared with the traditional cellular automata model, the modeling is more suitable for the driver＇s random decision-making process based on the vehicle and traffic situations in front of him in actual traffic. From the improved model, the fundamental diagram （flow^tensity relationship） is obtained, and the detailed high-density traffic phenomenon is reproduced through numerical simulation.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.11172247,61273021,61373009,and 61100118)
文摘Research on the stochastic behavior of traffic flow is important to understand the intrinsic evolution rules of a traffic system. By introducing an interactional potential of vehicles into the randomization step, an improved cellular automata traffic flow model with variable probability of randomization is proposed in this paper. In the proposed model, the driver is affected by the interactional potential of vehicles before him, and his decision-making process is related to the interactional potential. Compared with the traditional cellular automata model, the modeling is more suitable for the driver＇s random decision-making process based on the vehicle and traffic situations in front of him in actual traffic. From the improved model, the fundamental diagram （flow^tensity relationship） is obtained, and the detailed high-density traffic phenomenon is reproduced through numerical simulation.
文摘在交通荷载观测及统计分析的基础上,获得交通状况的代表性数据,对记录的车型、车重、车距和车速进行统计,在此基础上进行随机车流模拟,编制随机车流模拟程序RTF(Random Traffic Flow),程序中首次全面引入车型、车重、车距和车速4个参数;建立可以考虑任意车辆数目、不同车道以及车辆相向行驶功能的随机车流下的风-汽车-桥梁系统空间耦合振动分析框架,编制相应的分析模块RTFWVB(Wind-Vehicle-Bridge system analysis)。以杭州湾跨海大桥为工程实例,详细研究密集、稀疏运营状态,车流单向、相向行驶以及侧风与车辆移动荷载对桥梁关键部位动力响应的影响。分析表明:密集运营状态下桥梁动力响应明显大于一般运营状态下的相应值;车流方向对桥梁振动影响不大;密集运营状态下车辆移动荷载主要决定桥梁动力响应的均值,而侧风主要影响桥梁动力响应的脉动部分,风速越大波动越显著。
