Solving the Median Shortest Path Problem in the Planning and Design of Urban Transportation Networks Using a Vector Labeling Algorithm

This paper proposes an alternative algorithm to solve the median shortest path problem (MSPP) in the planning and design of urban transportation networks. The proposed vector labeling algorithm is based on the labeling of each node in terms of a multiple and conflicting vector of objectives which deletes cyclic, infeasible and extreme-dominated paths in the criteria space imposing cyclic break (CB), path cost constraint (PCC) and access cost parameter (ACP) respectively. The output of the algorithm is a set of Pareto optimal paths (POP) with an objective vector from predetermined origin to destination nodes. Thus, this paper formulates an algorithm to identify a non-inferior solution set of POP based on a non-dominated set of objective vectors that leaves the ultimate decision to decision-makers. A numerical experiment is conducted using an artificial transportation network in order to validate and compare results. Sensitivity analysis has shown that the proposed algorithm is more efficient and advantageous over existing solutions in terms of computing execution time and memory space used.     

A vehicle manufacturer's view of the potential for electric automobiles

In the search for low pollution, low noise, multi‐fuel vehicles capable of adapting to almost any source of energy available, the electric vehicle continues to be suggested in a variety of forms. In the long‐term view, working on the hypothesis that either solar or nuclear energy can provide the only inexhaustible energy supplies, electric propulsion will undoubtedly have a significant role to perform, and it could provide a useful means of transport in the transition period out of the current dependency on crude oil.

There are, however, some grave question marks hanging over the viability of electric vehicles on a large scale both in terms of their energy efficiency and practicality. This paper describes the state of development and discusses the future prospects.     

海上短波远程通信链路仿真预测

采用ICECAP高频传输预测软件对海上舰船与岸基多台站之间的短波远距离通信电路进行仿真分析,计算了最高可用频率、信噪比和舰载鞭状天线的场强分布,分析了天线的场强覆盖,在满足信噪比的要求及频率低于MUF的条件下,计算出场强中值大于接收机灵敏度的台站个数,形象地描述了海上短波远程通信过程。     

上海洋山深水港四期工程水下沉积物分析

为掌握上海洋山深水港四期工程底质泥沙的分布与变化特征,对四期工程近海区开展了柱状取样工作。沉积物柱状取样工作分析结果表明,四期工程水域共有4种沉积类型,即砂质粉砂、砂-粉砂-粘土、粉砂和粘土质粉砂,其中粉砂占全部样品的66%,其次是砂质粉砂占21.74%。工程水域沉积物中值粒径在0.085~0.049 1 mm变化,平均为0.028 mm;柱状样各层粒径比较,表层物质最细,平均中值为0.026 mm,自上而下依次增大;与已建成的港区水域相比,四期工程水域底质表层泥沙略粗于大、小洋山通道水域,分选程度略好于大、小洋山通道水域,物质组成基本相同,仅粉砂含量增高。     

高等级公路的封闭防水型中央分隔带技术

针对目前高等级公路中央分隔带防(排)水设计方案施工中存在的问题,从对中央分隔带统筹考虑优化设计出发,提出了一种实用新型封闭防水的技术方案,经对比分析,该技术实用可行,经济合理。     

基于空间各向图像预处理及三维重构效率分析

主要研究将二维图像预处理和二维种子填充方法向三维推广,并对三维图像预处理和三维种子填充的方法进行了重构效率的分析比较,探讨了三维种子填充中扫描方向、堆栈建立的合理性选择,由此得出最佳三维种子填充的程序实现方法,为细小组织的三维重构和器官切割仿真手术提供技术支撑。     

中央分隔带降水试验分析

通过自制的人工降水仪器,在常德—吉首高速公路路面现场进行中央分隔带降雨试验。通过试验分析了中央分隔带填土的初始含水量和空隙率与排水情况之间的联系,即中央分隔带填土初始含水量和孔隙比越大水渗透的速度越快,横向排水管的出水时间越短。估算出中央分隔带的排水量与降水量的比值,以此来评估中央分隔带的排水能力与效率。阐述了该路段的中央分隔带在排水设计和施工方面存在的问题,并且提出改善中央分隔带排水的建议:(1)在横向排水管埋设的位置设计小窨井,以便于清理,并保证横向排水管的排水能力;(2)可将中央分隔带汇水直接排入人孔,在每个人孔处须预埋管径能满足流量要求的横向排水管;(3)改变中央分隔带内渗沟集水井尺寸,增大集水井的汇水能力,并及时将集水井中的水排出路基外。     

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针对无容量约束的单分配轴-辐式物流网络设计问题的特点,为其建立了单分配p-枢纽中位模型,并提出了一种基于蚁群算法的启发式求解算法. 该算法分两步实现：首先利用蚁群算法来确定网络中枢纽节点的位置,然后用另一种启发式算法将非枢纽节点分配给枢纽节点,同时,将一种基于6种邻域结构的变邻域搜索算法作为蚁群算法的局域搜索策略以提升算法的全局搜索能力,并加快收敛速度. 最后结合澳大利亚邮政数据进行了算例仿真实验,并对蚁群算法中参数的合理设置进行了测试分析,实验结果表明,该算法在求解此问题时有着良好的有效性和较快的求解效率.     

整车电子助力转向系统试验方法

本文简要的阐述了整车匹配电子助力转向系统后,在满足相应的法规性要求的基础上,需进行的相关验证,确保车辆的操控性能及客户使用的安全性,减少客户使用过程中的抱怨。