论文标题
基于蜂窝自动机模型的PM排放和混合交通流量的能源消耗的研究
Research on PM emission and energy consumption of mixed traffic flow based on cellular automata FI model
论文作者
论文摘要
交通拥堵导致燃油消耗和排气排放急剧增加，这很容易导致空气污染和燃料浪费。基于福岛千里（FI）模型，本文通过考虑最大速度，混合比和随机减慢概率来研究交通流的发射和能量耗散。仿真结果表明，由相同长度组成的交通流量的能量耗散与最大速度不同。最大速度越大，能量消耗越多。当最大速度不同时，PM排放类似于能耗的变化。此外，对于相同的最大速度和不同的混合比，与混合比相关的能量耗散和PM发射。最大流量中有最大燃油消耗和排放值。对于相同的最大速度和车辆的长度，它们的能耗和排放取决于随机减慢概率。
Traffic congestion leads to a sharp increase in fuel consumption and exhaust emissions, which easily leads to air pollution and fuel waste. Based on Fukui-Ishibashi (FI) model, this paper studies particulate matter(PM) emission and energy dissipation of traffic flow by considering the maximum speed, mixing ratio and random slowing probability. Simulation results show that the energy dissipation of the traffic flow consisting of the same length and different maximum velocity is associated with the maximum velocity. The greater the maximum velocity, the more the energy consumes. When the maximum velocity is different, the PM emission is similar to the change of energy consumption. Moreover, for the same maximum velocity and different mixing ratio, the energy dissipation and the PM emission related to the mixing ratio. There are the maximum fuel consumption and emission value in the maximum flow. For the same maximum velocity and length of vehicles, their energy consumption and emission are determined by random slowing probability.
