不同梯度网络上的交通阻塞特性

Jamming in Different Gradient Networks

在城市交通出行过程中,存在潮汐交通现象,主要表现出交通流具有很强的方向性,在一定程度上可以通过梯度网络中的"势"来刻画.通过考虑2种类型的网络结构,即随机网络和无标度网络,来构造梯度网络.基于元胞传输模型,模拟梯度网络上的交通流演化过程,并研究不同网络结构上的交通阻塞特性.为了刻画交通阻塞,本文定义并研究网络的交通阻塞程度.通过数值模拟和统计分析,研究和比较不同网络结构(即随机网络和无标度网络)对交通阻塞程度的影响及相关关系,以探索较优的交通运输网络拓扑结构.

In urban traffic traveling,there exists tidal traffic phenomenon showing that traffic flows have obvious directions,which can be basically described and measured by'potential'defined in gradient networks. By considering two types of network structures,i. e.,random networks and scale-free networks,gradient networks are constructed.Based on cell transmission model,traffic flow evolution is simulated and traffic jams is investigated in different gradient networks. In order to measure traffic jams in different networks,the jamming is defined and explored. In numerical experiments,this paper studies the impact of different network structures( i. e.,random networks and scale-free networks) on the jamming,in order to explore better topology structure for traffic and transportation networks.