多货罐化学品船液货罐体与支承结构的接触分析

介绍了有限元分析方法对接触问题进行求解的一般方法,应用大型有限元分析软件Marc进行多货罐化学品船液货罐体与支承结构的接触分析,研究了支撑结构的加强方式,为制定CCS《散装运输危险化学品船舶构造与设备规范》（2006）的补充检验要求,提供了依据。     

五级运行闸次排序对三峡船闸上行过闸效率的影响

针对如何提高三峡船闸上行五级运行闸次过闸效率的问题,研究了三峡船闸上行五级运行闸次排序与过闸效率之间的内在联系。结合三峡船闸上行五级运行过闸规律,建立理想化模型,得出移泊迟滞时间和设备迟滞时间是影响三峡船闸上行过闸效率的两个主要因素。通过等效模型推演出应用"同船集中,梯形分布"排布法优化闸次排序可有效减少移泊迟滞时间,从而提高三峡船闸上行五级运行闸次过闸效率。     

城市路外停车场出入口接驳处交通调查分析

通过调查南京市商业中心区路外停车设施出入口与主路接驳处的交通情况,分析出入口和主路的交通特性,以及驶入驶出车辆对主路车辆造成的延误。根据延误大小情况,对合理设置路外停车设施出入口具有指导意义。     

基于改进LS-SVM算法的列车通信网络时延预测方法

由于通信网络诱导时延的存在会对列车牵引制动系统造成影响,因此对时延精准预测并实现补偿十分重要。提出了一种基于改进粒子群(PSO)算法优化的最小二乘法支持向量机(LS-SVM)算法对列车通信网络时延进行预测,搭建了列车网络控制系统半实物平台,使数据通过多功能车辆总线(MVB)进行传输,分别改变车辆控制单元(VCU)特征周期及负端口数量大小,以获取大量不同特性的时延数据。将数据分组后利用改进的PSO算法优化LS-SVM算法进行预测仿真。仿真结果表明,与传统的LS-SVM算法及Elman神经网络算法的预测方法相比,所提出的方法在列车通信网络的时延预测方面具有更好的快速性和准确性。     

Arterial traffic signal optimization: A person-based approach

This paper presents a real-time signal control system that optimizes signal settings based on minimization of person delay on arterials. The system’s underlying mixed integer linear program minimizes person delay by explicitly accounting for the passenger occupancy of autos and transit vehicles. This way it can provide signal priority to transit vehicles in an efficient way even when they travel in conflicting directions. Furthermore, it recognizes the importance of schedule adherence for reliable transit operations and accounts for it by assigning an additional weighting factor on transit delays. This introduces another criterion for resolving the issue of assigning priority to conflicting transit routes. At the same time, the system maintains auto vehicle progression by introducing the appropriate delays associated with interruptions of platoons. In addition to the fact that it utilizes readily available technologies to obtain the inputs for the optimization, the system’s feasibility in real-world settings is enhanced by its low computation time. The proposed signal control system is tested on a four-intersection segment of San Pablo Avenue arterial located in Berkeley, California. The findings show the system’s capability to outperform pretimed (i.e., fixed-time) optimal signal settings by reducing total person delay. They have also demonstrated its success in reducing bus person delay by efficiently providing priority to transit vehicles even when they travel in conflicting directions.     

Itinerary choice and advance ticket booking for high-speed-railway network services

This paper formulates and examines the passenger flow assignment (itinerary choice) problem in high-speed railway (HSR) systems with multiple-class users and multiple-class seats, given the train schedules and time-varying travel demand. In particular, we take into account advance booking cost of travelers in the itinerary choice problem. Rather than a direct approach to model advance booking cost with an explicit cost function, we consider advance booking cost endogenously, which is determined as a part of the passenger choice equilibrium. We show that this equilibrium problem can be formulated as a linear programming (LP) model based on a three-dimension network representation of time, space, and seat class. At the equilibrium solution, a set of Lagrange multipliers for the LP model are obtained, which are associated with the rigid in-train passenger capacity constraints (limited numbers of seats). We found that the sum of the Lagrange multipliers along a path in the three-dimension network reflects the advance booking cost of tickets (due to advance/early booking to guarantee availability) perceived by the passengers. Numerical examples are presented to demonstrate and illustrate the proposed model for the passenger assignment problem.     

On the cost of misperceived travel time variability

Because individuals may misperceive travel time distributions, using the implied reduced form of the scheduling model might fall short of capturing all costs of travel time variability. We reformulate a general scheduling model employing rank-dependent utility theory and derive two special cases as econometric specifications to study these uncaptured costs. It is found that reduced-form expected cost functions still have a mean–variance form when misperception is considered, but the value of travel time variability is higher. We estimate these two models with stated-preference data and calculate the empirical cost of misperception. We find that: (i) travelers are mostly pessimistic and thus tend to choose departure times too early to achieve a minimum cost, (ii) scheduling preferences elicited using a stated-choice method can be relatively biased if probability weighting is not considered, and (iii) the extra cost of misperceiving the travel time distribution might be nontrivial when time is valued differently over the time of day and is substantial for some people.     

相邻双交叉口的三级模糊协调控制算法分析

提出一种相邻双交叉口三级模糊协调控制的算法,并通过遗传算法对模糊控制器各参数的隶属度函数顶点进行优化,设计实现相邻双交叉口协调控制的三级模糊协调控制器。通过使用MATLAB7．1进行编写仿真程序,在不同到达率情况下进行仿真,并且与传统单交叉口模糊控制方法进行比较。仿真结果表明,三级模糊协调控制可以有效减少相邻双交叉口车辆的平均延误。     

SPKI/SDSI2.0的安全性分析

用标准的Datalog程序表示信任管理系统SPK I/SDSI2.0的系统状态,以Datalog程序的最小Herbrand模型作为它的语义,定义了信任管理系统SPKI/SDSI2.0的安全分析模型,制定了状态转换的限制规则,该限制规则是可实现的,在此基础上对SPKI/SDSI2.0的权限泄露问题进行了全面的分析,证明了该问题是在多项式时间内可判定的;证明了一个状态对于权限r是否可靠依赖且仅依赖于关于权限r的可信主体集合,并给出了计算可信主体集合的算法.     

桥台裂缝的温度场效应研究

以重庆盘溪路大石坝立交工程为例,从温度场理论出发,研究了冬季降温产生的温度应力对如桥台结构的大体积混凝土应力变化的影响;应用有限元软件对桥台背面进行切缝处理,研究切缝后的桥台应力场分布情况。研究结果表明:桥台的外侧受温度影响比内侧受温度影响更为敏感,在降温时候外侧更容易开裂,在桥台背面适当位置增加竖向切缝后,桥台的温度应力集中现象将获得释放。