利于节能减排的交通诱导与控制融合算法

Traffic guidance and control spatial-temporal fusion algorithm for energy-saving and emission-reduction

交通诱导与控制时空融合算法以车流量平衡为最终目标.为使融合算法的调速过程利于节能减排,调速应不突变,提高低速,保持高速,避免拥堵.为此,建立了表征路网各路段车速的实时速度网,以此为基础,进行符合节能减排目标的交通诱导与控制的融合,以及单时空流调速和多时空流调速.与其他协同方法进行仿真比较的结果表明,时空融合算法的能耗与排放明显降低.

Traffic flow balance is the ultimate goal of traffic guidance and control using a spatial-temporal fusion algorithm. To make a fusion algorithm for speed adjustment yield benefits such as energy savings and emissions reduction, speed adjustment should not change suddenly but should increase low speed, maintain high speed, and avoid congestion. A real-time speed network representing vehicle speed in each of several sections is established. Based on this network, traffic guidance and control fusion, single spatial-temporal flow speed adjustment, and multiple spatial-temporal flow speed adjustment are performed to meet energy-savings and emission-reduction goals. Compared with the results of other collaborative methods, the results of the proposed simulated fusion algorithm show that the energy savings and emissions can be decreased significantly.