摘要
提出一种信号配时与交通几何设计、相位相序设计协同优化的思想。以太原市桃园路口为例进行分析设计,建立了以停车延误、停车次数和通行能力为目标的信号配时优化模型,采用罚函数粒子群优化算法(PSO)同时优化绿灯时间和信号周期,使二者达到最佳匹配。最后通过Vissim仿真的结果对比来验证此方法的合理性及有效性。
An approach for signal intersection collaborative optimization, which was ranged from signal-timing design to phase-sequence design and geometry design, was proposed. Based on the intersection of Yingze and Taoyuan, a signal timing optimization model was established Using Particle swarm optimization algorithm （PSO） as the optimization tool ,where decreasing the avel＂age delay, the number of parking and promoting the traffic capacity are considered as the whole object, and the signal cycle time and phase green times as the optimized variables. Finally, its facticity and reasonability was examined by the comparison of VISSIM simulation results.
出处
《太原科技大学学报》
2010年第1期38-41,共4页
Journal of Taiyuan University of Science and Technology
基金
太原科技大学青年基金(2007105)
太原科技大学青年基金(2006113)
关键词
交叉口协同优化
多目标优化
粒子群算法
VISSIM仿真
signal Intersections collaborative optimization, multi-objective optimization, paricle swarm optimization algorithm, vissirn Simulation
