基于熵值法的左转可逆交叉口配时优化方法

为提升左转可逆车道交叉口通行效率，提出一种基于熵值法的左转可逆车道交叉口配时优化模型。从交叉口道路条件和相位条件两方面对左转可逆车道设置进行分析，以交叉口通行能力和车均延误为优化目标，调整交叉口信号配时方案，运用熵值法构建设置可逆车道交叉口配时优化模型选取最优解。以青岛市典型交叉口为例，用该优化模型对交叉口设置左转可逆车道后的配时方案进行优化设计，并与现状配时方案和未优化配时方案进行对比。结果表明，早、晚高峰交叉口通行能力分别提高了3.2%和19.4%，车均延误分别降低17.6%和14.7%，优化方案有效提高了交叉口通行效率。

Optimization method of left turn reversible Lane intersection timing based on entropy method

In order to improve the traffic efficiency of left turn reversible Lane intersection, an optimization model of left turn reversible Lane intersection timing based on entropy method is proposed. The setting of reversible left turn lane is analyzed from the road condition and phase condition of intersection. The capacity and average vehicle delay of intersection is selected as the optimization objective to adjusts the signal timing scheme of intersection. Entropy method is used to build the optimization model of setting reversible left turn lane to select the optimal solution. Taking a typical intersection in Qingdao as an example, the optimization model is used to optimize the timing scheme of the intersection with left turn reversible lane, and compared with the current timing scheme and the non-optimized timing scheme. The result shows that the traffic capacity of the intersection in the morning and evening peak hours is increased by 3.2% and 19.4% respectively, and the average vehicle delay is reduced by 17.6% and 14.7% respectively. The optimization scheme effectively improves the traffic efficiency of the intersection.