基于实时路况数据的原发性交通拥堵点判别——以北京市二环以内为例

Research on Primary Traffic Congestion Recognition Based on Real-Time Traffic Data:A Case Study of Area within the Second Ring Road in Beijing

以北京市二环内道路为研究区域,将实时路况数据矢量化并构建其路网间拓扑关系,根据原发性拥挤与继发性拥挤时序上的差异,提出定量的拥堵度变化点的判别准则,将拥堵度变化点分为原发性拥堵、继发性拥堵、原发性消散、继发性消散4类。研究发现原发性拥堵的时空分布符合居民出行特征,重点集中于二环内热点区域,发生在岔路口处的概率较大,且验证了继发性较原发性在时空顺序上的滞后性。

There are amount of factors of traffic congestion, and the complexity of propagation mechanisms of traffic flow makes it difficult to discover the target to solve traffic congestion problem. According to the difference in sequentially between primary traffic congestion and secondary traffic congestion, a criteria to distinguish traffic congestion was proposed in this paper. That can divide congestion degree changing point into primary congestion, secondary congestion, primary dissipation and secondary dissipation. The data of research is the real-time traffic data within the Second Ring Road in Beijing. The results show that the occurrence of primary congestion is significantly less than secondary congestion, and secondary congestion always lags behind primary congestion,which verifies the difference in sequentially between them. And the spatial and temporal distribution of pri- mary congestion is consistent with the characteristics of residents travel. It always focuses on hot spots region in the research ar- ea, furthermore, the ratio of primary congestion happens in the intersection is more than that in the road.