Study on Performances of Car-following Models Induced by Motions of a Leading Car

IntroductionReasonably accurate mathematical modeling oftraffic engineering is needed not only for better un-derstanding of the collective behavior of traffic,but also for analyzing flow conditions, designingefficient control strategies, and etc[1]. For the pastfew decades, many researchers made studies of thissubject and a wide range of traffic flow theoriesand models have been developed. According to thelevel-of-detail with which the traffic flow is de-scribed, these traffic models were clas…     

Can agents measure up? A comparative study of an agent-based and on-line optimization approach for a drayage problem with uncertainty

Experiments studying the behavior of agent-based methods over varying levels of uncertainty in comparison to traditional optimization methods are generally absent from the literature. In this paper we apply two structurally distinct solution approaches, an on-line optimization and an agent-based approach, to a drayage problem with time windows under two types of uncertainty. Both solution approaches are able to respond to dynamic events. The on-line optimization approach utilizes a mixed integer program to obtain a feasible route at 30-s intervals. The second solution approach deploys agents that engage in auctions to satisfy their own objectives based on the information they perceive and maintain locally. Our results reveal that the agent-based system can outperform the on-line optimization when service time duration is highly uncertain. The on-line optimization approach, on the other hand, performs competitively with the agent-based system under conditions of job-arrival uncertainty. When both moderate service time and job-arrival uncertainties are combined, the agent system outperforms the on-line optimization; however, in the case of extremely high combined uncertainty, the on-line optimization outperforms the agent-based approach.     

发动机运转噪声的动力学分析及试验研究

建立了活塞系统工作过程的动力学方程和油膜润滑方程,并根据实测的解放CA6102汽油机的气缸压力对活塞二阶运动进行了计算。通过分析不同情况下活塞的无量纲横向位移和无量纲横向加速度随曲轴转角的变化关系,得出了影响发动机运转噪声的实质性因素。     

区域性城际轨道交通客流预测方法研究

分析了区域性城际轨道交通规划与传统交通规划方法的差异,提出了城际轨道交通客流的特点,以及以影响范围、交通小区划分、交通方式分担、诱增客流、时间价值为要点的区域性城际轨道交通客流预测方法。     

基于水平双向作用耦合曲线梁桥地震响应分析

以深圳市某互通立交匝道桥工程为背景,针对曲线梁桥地震响应的复杂性,运用大型结构分析程序Midas/Civil建立空间有限元模型,采用动态时程法对其进行地震响应分析,研究水平地震动单向输入、双向输入时墩梁固结曲线梁桥的地震响应差异,提出墩梁固结曲线梁桥抗震设计要点。     

地铁车站安全疏散计算方法探讨

《地铁设计防火标准》第5章给出了车站安全疏散计算方法,要求站台疏散设施能保证乘客在4min内撤离站台,6min内抵达站厅或安全区域。该标准提供了撤离站台的时间计算公式及疏散控制原则。结合国内外规范中关于疏散计算的要求,分析其疏散理论和计算方法,探讨乘客疏散全过程疏散时间计算方法。在进行车站安全疏散计算时,提出如下建议:乘客撤离站台时间应以《地铁设计防火标准》为准;撤离至安全区的时间可按抵达安全区最长疏散路径分段步行总时间与乘客在楼梯、扶梯、闸机、通道等疏散设施处的滞留时间之和进行验算,超过3层或疏散路线通过多个楼层等复杂工况,建议在静态计算的基础上采用动态疏散模拟进行分析研究;当列车发生火灾时建议验算疏散乘客通过车门到站台的滞留时间。     

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本文提出并采用一种离线预测与在线预测相结合的、基于历史数据并根据在线数据修正的、能减少服务器运算复杂性的较高性能的计算机模型和公交车到站时间预测算法.并以公交车实时GPS运行信息为运算依据,应用Java EE、JSP开发、MySQL数据库和Android手机操作系统开发等技术,在服务器端以公交车有限状态机模型来掌握公交车的实时信息,开发了一个集中式、企业级、手机平台上的、基于请求与响应的综合系统,能够向乘客手机客户端发送目标线路上车辆到站情况的预测信息,提高出行效率.最后基于大连市旅顺口区18路公交车运行数据进行了系统测试,结果表明,以该算法为基础的系统具有良好的性能.     

基于熵权法的城市轨道线路客流适应性研究——以武汉市城市轨道规划线路为例

城市轨道线路客流是影响线路规模、投资和运营等的重要因素,选取轨道线路客流特征指标,建立了基于熵权法的城市轨道线路客流适应性分析模型,并以武汉市城市轨道规划线路为例,分析不同线路对客流的适应性程度.结果表明,该模型对轨道线路的客流适应性具有较好的识别性,并对安排线路建设时序具有参考价值.