基于多项式拟合的交叉口车队轨迹优化研究

Trajectory Optimization at Intersections Based on Polynomial Functions

交叉口作为疏解交通流线冲突的方式之一,是城市交通的重要节点,其运行情况可在一定程度上反映城市交通状况,对其进行合理地规划控制是提升城市交通效能的有效措施。随着智能交通及相关技术的发展,对交叉口车辆通行控制的研究重点逐渐由宏观层面转移到微观层面,从提高交叉口通行能力转变为提高驾驶人员驾驶舒适度体验。本文在国内外交叉口微观交通流理论、轨迹优化等研究基础上,总结不同轨迹优化模型的优缺点,提出了车路通信背景下基于多项式拟合的信号交叉口车队轨迹优化理论模型,并与传统的Newell’s跟车模型进行对比,验证了模型的有效性。

An intersection,as one of the ways to alleviate traffic flow conflicts,is a crucial node in urban transportation,and its operational status can reflect the urban traffic conditions to a certain extent.Therefore,reasonable planning and control of intersections are effective measures to enhance urban traffic efficiency.With the development of intelligent transportation and related technologies,research on vehicle traffic control at intersections has gradually shifted from a macro to a micro level,transitioning from improving intersection capacity to enhancing the driving comfort experience for motorists.Based on domestic and international research on micro-traffic flow theory and trajectory optimization at intersections,this paper summarizes the advantages and disadvantages of different trajectory optimization models.It proposes a theoretical model for optimizing vehicle trajectory in signalized intersections based on polynomial ftting in the context of vehicle-road communication.This model is compared with the traditional Newell's car-following model to verify its effectiveness.