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一种基于遗传算法的交通分配用户最优状态研究

A Method Based on the Genetic Algorithm of Traffic Assignment User Optimum Condition
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摘要 以路网用户的出行时间最少为目标,以Matlab软件为运算平台,将遗传算法运用到交通分配模型当中,进而实现了交通分配过程中用户出行状态最优,并通过算例说明了遗传算法解决该类问题的有效性与可行性,为求解用户最优的问题提供了新的途径。 Based on the network users of the travel time at least as the goal, take the Matlab software for operation platform. Apply Genetic algorithm to the traffic distribution model, and then realize the traffic distribution process travel state optimal. A numerical example is given to illustrate the genetic algorithms to solve this problem, the effectiveness and feasibility for solving the problem of optimal users provides a new way.
出处 《交通与运输》 2010年第H12期14-17,共4页 Traffic & Transportation
关键词 遗传算法 交通分配 用户最优 Genetic algorithm Traffic assignment User optimization
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  • 1[2]Anthony Kane.USA-ITS Deployment Experiences & Lessons Learned[C].SS16_Introducing ITS to China-Experience,14th World Congress on ITS,Beijing,2007
  • 2[4]Arnold van Zyl.ITS Development in Europe[C].Closing Panel Discussion:ITS Vision 2020.14th World Congress on ITS,Beijing,2007
  • 3[5]Arnold van Zyl.ITS in Europe-Scenarios for Development[C].Industry Plenary Session,14th World Congress on ITS,Beijing,2007
  • 4[7]Masao Sakauchi.ITS in 2020[C].Closing Panel Discussion:ITS Vision 2020,14th World Congress on ITS,Beijing,2007
  • 5[8]世界卫生组织.预防道路交通伤世界报告[M].日内瓦:世界卫生组织,2004
  • 6[9]Rick Schuman.Value of Travel Information[C].IBEC3_The Value of Travel and Traffic Information,14th World Congress on ITS,Beijing,2007

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