摘要
估计了可变信息板(VMS)的影响范围,构建了交通控制与VMS的协同一体化模型。通过VMS影响驾驶人的出行路径选择行为,引导路网交通流向最优交通流分布模式发展。通过交通控制调整交叉口信号参数,实现路网交通流的截流与分流,最终形成路网交通流最优交通分布模式。采用Frank-Wolfe均衡分配和遗传算法相结合对模型进行优化求解,利用Paramics API开发模型和算法。以Paramics软件为仿真平台,以山东省淄博市淄博新区为模拟路网,在路网突发灾害下对模型和算法进行了验证。验证结果表明:路网饱和度越大,构建的模型相对于Synchro模型,提高路网交通流运行性能指标的效果越明显,促进路网交通流稳定性的能力越强,越能均衡分配路网负载。当受灾交通流疏散完成80%,路网连线饱和度分别为不大于0.8,大于0.8且不大于1.0,大于1.0时,相比Synchro模型,构建模型的受灾交通流疏散时间分别减少11.55、21.84、25.64min,疏散速度分别提高25.98%、31.83%、20.16%。
The influence scope of variable message signs（VMS） was estimated, and a collaborative model integrated of traffic control and VMS was constructed. The route choice behavior of driver was impacted by VMS, and the development of network traffic flow was guided by VMS to the optimization distribution mode. The interception and shunt of network traffic flow were fulfilled by adjusting intersection signal parameters in traffic control to form an optimal traffic flow distribution mode. The model was optimized and solved by combining Frank-Wolfe equilibrium assignment and genetic algorithm. The model and algorithm were developed by using Paramics API. In the condition of network with burst disaster, the model and algorithm were verified by taking software Paramics as simulation platform and Zibo New District of Shandong Province as simulation network. Verified result shows that with the increase of road network saturation, compared with Synchro model, the effect of the model is more obvious in improving performanceindexes of road network traffic flow, the ability promoting the stability of road network＇s traffic flow is stronger, and the equilibrium assignment ability of road network loading is better. When the evacuation of traffic flow for sudden disaster completes 80 %, and the link saturations of road network are not more than O. 8, between O. 8 and 1. O, more than 1.0 respectively, compared with Synchro model, the evacuation times respectively decrease by 11.55, 21.84, 25.64 min, the evacuation speed respectively increase by 25.98%, 31.83%, 20.16%. 1 tab, 3 figs, 20 refs.
出处
《交通运输工程学报》
EI
CSCD
北大核心
2012年第6期104-110,118,共8页
Journal of Traffic and Transportation Engineering
基金
国家863计划项目(2009AA11Z218)
高等学校博士学科点专项科研基金项目(20110061120043)
中国博士后科学基金项目(2011M500615
20100481054
2012T50300)
浙江省教育厅科研基金项目(Y201224940)
关键词
交通控制
协同优化
双层规划
可变信息板
突发灾害
traffic control
collaborative optimization
bi-level programming
variable messagesigns
sudden disaster
