摘要
研究道路不同时段的拥堵状况分析问题。不同时段的交通路段的车流状况不同,当前的拥堵判断模型需要对不同时段的车流进行约束,为了满足车流约束特性,需要运用多个约束状态表述这种路段车流量负载变化的非线性,模型假设道路可靠度只有工作和失效两种状态,忽略了不同时段道路负载的随机突变状态对连通可靠度的影响,给动态变化的拥堵计算带来了限制,造成计算结果出现偏差。提出了一种交通运载道路拥堵判断模型。在计算负载的过程中,对负载目标引入一种生成树的约束方法,形成一种有关联的约束关系,利用粒子群优化方法,对交通运载道路中的流量参数进行计算,保证计算结果的最优。实验结果表明,利用改进算法进行交通运载道路拥堵状况判断,计算的准确性高于传统算法。
The problem of road congestion analysis at different times was studied in this paper. A congestion judg- ment model for traffic carrying road was presented. In the process of load calculation, a constraint method of spanning tree was introduced to the load target to form related constrained relationship. Meanwhile, the particle swarm optimi- zation method was used to calculate the traffic flow parameters of carrying road to ensure optimal results. The experi- mental results show that the calculation accuracy of the improved algorithm is higher than traditional algorithms.
出处
《计算机仿真》
CSCD
北大核心
2014年第3期180-183,共4页
Computer Simulation
关键词
交通运载道路
连通可靠度
状态突变
Traffic carrying road
Connective reliability
State mutation
