基于LINGO的多目标移位左转交叉口研究

Multi-Target Shift Left Turn Intersection Based on LINGO Software

针对传统交叉口存在的交通拥堵与运行速度缓慢问题,建立以移位左转思想为核心的交叉口设置与配时模型。分析移位左转交叉口各个信号相位以及左转车道长度之间的内在关联,结合慢行交通组织,综合考虑车均延误、排队长度、通行能力三个指标,各个指标之间的权重运用层次分析法进行计算,采用LINGO软件对模型进行综合求解,运用在深圳市兴海大道与月亮湾大道交叉口收集的数据对模型进行验证。研究结果表明运用移位左转思想的交叉口可以明显改善交叉口运行情况,移位左转交叉口较改进前交叉口车均延误下降了21%,排队长度指标下降了32%,通行能力指标提升了17%。验证了本文模型的有效性,研究成果可为移位左转车道的设置及信号配时提供依据。

Aiming at the problems of traffic congestion and slow running speed at traditional intersections, an intersection setting and timing model with the idea of shifting left turns as the core was established. This paper analyzed the inherent correlation between the phase of each signal at the left-turning intersection and the length of the left-turn lane. In combination with the slow-moving traffic organization, this study considered three indicators including average vehicle delay, queue length, and capacity. The analytic hierarchy process method was used to calculate the weight of each indicator. The model was comprehensively solved by using LINGO software. The model was validated using data collected at the intersection of Xinghai Avenue and Moon Bay Avenue in Shenzhen. The results of the study show that the use of the left turn idea can significantly improve the operation of the intersection. Compared with the improved front intersection, the delay of the left turn has decreased by 21%, the queue length indicator has decreased by 32%, and the capacity has increased by 17%. The validity of the proposed model is verified. The research results can provide a basis for the setting of leftturn lanes and signal timing.