USING GENETIC ALGORITHM TO OPTIMIZE LOCATIONOF TRAFFIC COUNTING POINTS
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摘要: 在分析交通检测点分布优化问题的现有算法的基础上，本文构造了交通检测点优化问题的染色体表达式，建立了此问题的遗传算法．这是第一次将遗传算法应用于交通检测点分布优化问题．实验结果表明，此算法可以有效求得交通检测点分布问题的优化解或近似优化解，是求解交通检测点分布问题的一个较好的方法．Abstract: On the analysis of the existing methods of the traffic counting points location problem, this paper proposes a genetic algorithm for this problem. It is the first work to apply genetic algorithm to optimal location of traffic counting points. This algorithm can find the optimal or nearly optimal solution to the traffic counting location problem effectively, which is shown by the experiments provided by this paper.
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[1] Cascetta,E.Estimation of trip matrices from traffic counts and survey data:A generalized least squares estinator.Transportation Research,1984,18 B:289～299 [2] 周晶,徐南荣,陈森发.极大似然法在交通工程中的应用.系统工程,1993,11(2):66～72 [3] 陈森发等.估计OD矩阵的监测路段选择的优化.自动化学报,1997,23(6) :831～834 [4] 周晶等.适于估计OD矩阵的交通检测点的最优分布.自动化学报,2000,26(3):303～309 [5] 周晶等.交通检测点分布规则及其数学模型.东南大学学报,1998,28(6):59～63 [6] 陈国良等.遗传算法及其应用.北京:人民邮电出版社,1996 [7] Michalewicz Z.Genetic Algorithms+Data Structures=Evolutionary Programs.Berli n:Springer-Verlag,1994 [8] Baumal,A.E.,Mcphee.J.J,Calamai.P.H.Application of genetic algorithms to the design optimization of an active vehicle suspension system.Computer Methods in A pplied Mechanics and Engineering,1998,(163):87～94 [9] Yang H, Iida Y, Sasaki Y. Analysis of the reliability of an origin-destinati on trip matrix estimated from traffic counts.Transportation Research,1991, 25B:351～363
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