摘要
现代城市道路错综复杂,各条道路交错相连。如何分配各道路流量使得交通系统中的流量最大是智能交通的一个重要环节。从若干条互相关联的道路出发,把它们看成一个整体,通过建立优化模型来计算出各条道路的最大平均流量。因为系统庞大,且求解模型中有多个等式约束,对其转化为多目标优化模型来解决,把自适应的适应度函数加入基于小生境的混合遗传算法中求解。用实例仿真,结果令人满意。
The roads in a city are very complex, and these roads are connected with each other. How to distribute flow is an important link in intelligence transportation. By taking the interrelated roads as a whole, an optimized model was built to calculate the maximum average flow. Because of the large system and a number of constrained equations, the problem was converted to multi-objective optimization. It was solved by genetic algorithm with adaptive fitness function on the basis of niche technique. The simulation result shows that the method is effective and satisfactory.
出处
《交通与计算机》
2008年第2期41-44,共4页
Computer and Communications
