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作 者:袁长亮[1]
机构地区:[1]交通部公路科学研究院国家智能交通系统工程技术研究中心,北京100088
出 处:《道路交通与安全》2008年第6期19-24,共6页Road Traffic & Safety
基 金:"863"国家高技术科技攻关项目"智能化交通控制系统上端系统测试总体框架研究"(课题编号:2006AA11Z207)。
摘 要:分析了过饱和交通条件下城市道路信号控制交叉口周期参数值的优化解。以拥挤消散时间和路网总延误为控制目标,采用定时信号控制策略,基于元胞传输模型建立了路网优化控制模型,并采用遗传算法优化信号配时,对比了不同信号周期条件下拥挤消散时间和路网总延误的变化规律。最后,本文以某市L路为算例分析了周期值与消散时间及路网总延误的关系,结论表明路网在过饱和拥堵条件下,当控制周期大于某一临界周期值时,相位差和绿信比的优化将无法抑制消散时间的持续增长趋势;最优配时结果的路网总延误值比采用传统最大周期控制策略的路网总延误值降低17%以上。In order to reply the increasingly serious traffic congestion problem, the intersection signal control cycle parameter is analyzed deeply in oversaturated condition. Fixed signal timing control strategy and two classical control objectives,congestion dispersal time and network vehicledelay, are adopted in this study. An optimal network control model is established based on cell transmission model(CTM) to analysis common cycle solution with these control objectives. This model is resolved by the gene algorithm(GA), and the congestion dispersal time and network vehicledelay are compared with different control cycle solutions. At last, a practical network of L Road in XXX is analyzed with over-saturated volume. Results show that when congestion dispersal time is selected as the control object, a critical common cycle value exists. It is impossible to control the increasing dispersal time by optimizing offsets and splits ff the common cycle is larger than that critical cycle. Another conclusion shows that when total network vehicle-delay is selected as the control objective, the benefit from optimal cycle strategy will be more than 17% compared with traditional maximal cycle strategy.
分 类 号:U491.23[交通运输工程—交通运输规划与管理] U412.37[交通运输工程—道路与铁道工程]
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