摘要
根据交通流的动态变化情况,实时优化交通信号配时,是减少交通延误,提高交通效率的有效方法。为减少信号优化时间,提高时效性,提出一种并行化的交通信号对比分析算法,该算法首先根据专家经验和交通管理常识设定一定的信号变化区间,然后针对该区间给定变化区间Δ,依次给定相应的信号配时策略,将每一种信号配时策略分配给集群系统中的一个计算节点,由各个计算节点分别进行仿真运算,最后由主节点聚合分析,对比给出最优信号控制方案。以微观交通仿真系统Paramics进行了仿真实验,结果表明,在4个节点组成的并行网络中,加速比为1.75,其提高了仿真效率,且能较好地遴选出最优控制方案。
Traffic signal optimization is based on the dynamic fluctuation of traffic flow,which is a best way to decrease traffic delay and increase traffic efficiency. In order to cost less time during optimization simulation, we presented a kind of parallel traffic signal numerical algorithm. This algorithm first defines the time intervals of traffic signal timings from the experience of traffic engineering experts and managers, then lists the feasible groups of time setting with the given interval A, and dismisses each plan to according computing node. After the node finishes its simulation task, the main node will accumulate the simulation report. The simulation with Paramics shows that, with our four computing nodes in the parallel network, the speedup ratio is 1.75, and the simulation is greatly improved, also the optimal plan is selected quickly.
出处
《计算机科学》
CSCD
北大核心
2012年第3期206-208,共3页
Computer Science
基金
国家自然科学基金(61174175)
山东省自然科学基金(Y2008G34)
中国博士后基金(20100481265)资助
