基于拥堵系数的道路交通网络关键路段辨识

城市道路交通的路段信息与车流量信息对道路交通的安全、高效运行至关重要.在交通高峰时期,通过对关键路段加以控制,可实现整个道路交通网络的完全能控.为寻找路网中的关键路段,将道路网络的交叉口-节点模型转化为道路网络的路段-节点模型,基于路段信息与车流量信息提出拥堵系数来衡量道路交通网络的车辆拥堵程度,并将其作为道路网络的路段-节点模型的边权重,最后运用关键路段辨识算法对道路交通网络的关键路段进行辨识.以沈阳市皇姑区主城区道路为例建立以拥堵系数为权重的网络模型, 按照所提方法辨识的关键路段数量为14条,约占道路网络总路段数的14.3%,具有较低的控制成本,且大部分为由北向南方向和由西向东方向.其中8条路段分布在皇姑区道路实时拥堵排行前5名,约占关键路段总数的57.1%,表明所给出的关键路段更多地分布在交通状态较为拥堵的路段上,符合实际情况.

Identification of key road sections of road traffic network based on congestion coefficient

The road section information and traffic flow information of urban road traffic are vital to the safe and efficient operation of road traffic. During the traffic peak period, by controlling the key road sections, we can achieve the entire road traffic network fully controllable. In order to find the key road sections in the road network, this paper transforms the intersection-node model of the road network into the section-node model of the road network. Based on the road section information and traffic flow information, a congestion coefficient is proposed to measure the vehicle congestion degree of the road traffic network, and it is used as the edge weight of the section-node model. Finally, the key road section identification algorithm is used to identify the key road sections of the road traffic network. Taking the main urban roads in Huanggu District of Shenyang as an example, a network model with congestion coefficient as weight is established. The number of key road sections identified according to the method in this paper is 14, accounting for about 14.3% of the total sections of the road network, which has low control cost, and most of them are from north to south and from west to east. Among them, 8 road sections are distributed in the top five of the real-time road congestion ranking in Huanggu District, accounting for about 57.1% of the total number of key road sections. This shows that the key road sections given in this paper are more distributed in the road sections with congested traffic conditions, which is in line with the actual situation.