节点文献
基于改进车流离散模型的多目标优化控制模型研究
Research on Multi-objective Optimal Contol Model Based on Modified Forecast Model of Traffic Flow Simulation
【摘要】 为减少复杂交叉口群动态控制中车辆延误并提高通过速度,基于改进的车流离散模型,该文提出了以停车延误为目标函数的交叉口群多目标优化控制模型,并以广州天河北复杂交叉口群为例进行了实例运算,算例结果与仿真试验表明本模型体系在系统延误方面要优于传统模型,模型的求解效率高,有利于建立实时的区域交通控制系统。
【Abstract】 Based on modified forecast model of traffic flow simulation,the author proposed an optimal offset model aiming at the minimal delay of vehicles of every subsystem and boosting speed of traffic flow.The research results of this paper were applied to the correlative intersections coordinate control in north district of Guangzhou city.Based on simulation experiment and contrast analysis,the results of optimal computation and simulation experiment indicated that the methods proposed in this paper was more effective in reducing delay of vehicles than traditional way and the correctness,effectivity and universality of these models were proved successfully.
【Key words】 multi-objective optimal control model; particle swarm optimization; delay of vehicles stopping; simulation test;
- 【文献出处】 现代交通技术 ,Modern Transportation Technology , 编辑部邮箱 ,2011年03期
- 【分类号】U491
- 【下载频次】113