基于无人机的高层住宅最后“一百米”配送优化

针对城市高层住宅顾客对上门配送服务的需求，借助无人机停放平台，考虑包裹异质性以及无人机在不同配送阶段的精确能耗，构建以无人机飞行成本和能耗成本最小为目标，以无人机容量、电池组容量等为约束的高层住宅无人机上门配送模型，解决“垂直位置最后一百米配送”问题。基于此模型，设计带变邻域下降(VND)搜索的混合蚁群算法(HACO-VND)，引入4个算子进行变邻域下降搜索，为了提高算法的求解性能，提出两种局部搜索算子组合，根据顾客点数量使用不同的算子组合。实验结果表明，HACO-VND算法较CPLEX在求解精度与求解时间方面更优，特别是在大中型算例中表现出较佳性能。参数分析表明，高层住宅楼层数越多，无人机单次 飞行的能耗利用率越大，无人机容量与电池组容量共同对配送方案产生影响。为以后无人机送货上门服务方面的研究提供参考和思路。     

Widening the Panama Canal and U.S. ports: historical and economic impact analyses

ABSTRACT

The economic history of the U.S. illustrates how the role of many cities has been changed by being seaports or located on navigable rivers or lakes. Based on the widening of the Panama Canal in 2016, the West Coast ports that include the west coast seaports of California, Oregon, and Washington were expected to become less important, while the freight shares of the East Coast and Gulf ports would increase. By how much it has been not easy to measure or predict so far, but this study attempted to define some of the key parameters in the measurement. As well as several relevant background topics, both the demand- and supply-side versions of the National Interstate Economic Model, have been applied for the measurement of economic impacts. U.S. port authorities and policy makers at the local and national levels who respond and develop plans for coping with the new realities of the Panama Canal are able to understand the extent to which changes in shippers’ and land-mode transporters’ behaviors would undermine the logistics and the costs of their activities. Therefore, this study is important for a diverse spectrum of port development strategies in the U.S. to respond to the Canal expansion.     

基于聚类站点客流公共特征的轨道交通车站精细分类

已有城市轨道交通车站分类多基于定性分析，不能满足精细化设计和运营的需要。本文提出一种基于聚类站点公共特征的站点精细分类方法。首先，将来源于AFC(Automatic Fare Collection)的进站客流量数据处理为时间序列数据，并基于K-Means++算法对各个站点的客流量进行聚类；其次，建立客流量聚类结果与土地利用特征多维参数的拟合方程，计算获得居住密集型、工作就业型以及区域中心型等5种大类站点的客流量公共特征。在此基础上，充分考虑属于同一大类站点不同站点的细分特性，使用5类客流量公共特征比重组合精细描述具体站点类型。 实例结果表明，使用本文提出的精细分类方法计算得到的每个站的客流量拟合值与真实客流值间的平均绝对百分比误差控制在14%以内，说明该分类方法具有可行性。     

Integrated models of land use and transportation for the autonomous vehicle revolution

ABSTRACT

The advent of the autonomous vehicle (AV) will affect not only the transportation system, but also future patterns of land development. Integrated land use and transportation models will be critical tools in assessing the path forward with this technology. Key questions with respect to land use impacts of AVs arise from potential changes in sensitivity to travel and reduced demand for parking. It is an open question whether AVs will induce urban sprawl, or whether spatial economies of agglomeration will mitigate any reductions in travel time sensitivity. The deployment of shared fleets of AVs would likely reduce parking demand, producing yet to be explored impacts on property development within existing urban footprints. We perform a critical assessment of currently operational models and their ability to represent the adoption of AVs. We identify the representation of time in such models as a vital component requiring additional development to model this new technology. Existing model applications have focused on the discrete addition of new infrastructure or policy at a fixed point in time, whereas AV adoption will occur incrementally through time. Stated adaptation surveys are recommended as tools to quantify preferences and develop relevant model inputs. It is argued that existing models that assume comparatively static equilibrium have been convenient in the past, but are insufficient to model technology adoption. In contrast, dynamic model frameworks lack sufficient structure to maintain reasonability under large perturbations from base conditions. The ongoing advancement of computing has allowed models to move away from being mechanistic aggregate tools, towards behaviourally rich depictions of individual persons and firms. However, much work remains to move from projections of existing conditions into the future, to the evolution of the spatial economy as it evolves through time in response to new technologies and exogenous stresses. Principles from complex and evolutionary systems theory will be important in the development of models with the capacity to consider such dynamics.     

基于AHP-TOPSIS的山区低等级公路路面破损评价方法

以山区低等级公路路面为研究对象,依据不同种类路面的破损危害性不同,拟在公路路面评价中提出路面破损指数概念,对山区低等级公路路面破损程度进行综合评价。所用模型是利用层次分析法(AHP)对不同种类的路面损毁危害性进行赋权,并利用逼近理想解排序法(TOPSIS)计算山区低等级公路路面破损程度与最优情况的贴近度,进而将山区低等级公路路面破损情况转化成区间为[0,1]的路面破损指数,其中路面破损指数越大表示路面的破损程度越高。此模型方法简单,能够运用少量数据对山区低等级公路路面的破损程度进行定量评价,可为山区公路的养护工作提供更准确的数据参照。     

重庆轨道交通环线电力监控与数据采集系统的建设与创新

基于电力监控与数据采集系统深度集成于综合监控系统的弊端分析,介绍了重庆环线电力监控与数据采集系统独立组网的自立分层分布式系统结构,及其在控制中心与综合监控系统的互联。介绍了基于电力系统CIM(公用信息模型)和CIS(组件接口规范)的电力监控与数据采集系统模型建立,详细阐述了重庆环线电力监控与数据采集系统的程序控制技术及远程图形服务技术,以及该系统在能源管理及其他高级应用方面取得的创新成果。     

丰都丁庄裂口工业区滑坡的致滑概率研究

笔者通过对丰都丁庄裂口工业区滑坡的机理分析及工程实践经验,总结出了滑坡致滑的四大主要因子———内因、库位降落、暴雨和地震.提出了各因子致滑概率的度量指标及其致滑概率的标准值,建立了概率统计分析方法,并将此方法用于丰都丁庄裂口工业区滑坡的致滑概率分析,所得的结论与实际情况比较吻合.     

半约束模型试验--一种验证随浪和斜浪中波浪力计算的手段

本文采用半约束模型试验技术，对一条高速船在规则波中随浪和斜浪工况进行了流体动力系列试验，以探讨航运的安全性，验证作用于船体上波浪力的估算方法。对每次试验，以波动方程的形式采用数值估算方法确定环绕船模的波浪运动的时间历程。并用同样的方法从测量数据中提取垂荡和纵摇与模型测量运动，一阶波导纵荡、横荡作用力和首摇力矩。因此合理比较理论计算的波浪力与力矩的时间历程成为可能。这表明SSPA海事动力学的研究所(MDL)模型试验设施可以提供高质量的测量，与所述计算方法结合起来可用来验证理论计算和建立半经验方法。     

比例先行数字PID控制器的仿真

主要描述了通过比例先行的PID控制器,使用采样控制系统对惯性热工对象进行控制这一过程的仿真,并对仿真结果进行了简单的分析.     

视频监控系统在港口的应用

介绍了港口视频监控系统的构成,系统主要设备的选型,系统的主要功能。指出应用视频监控加强港口监管,既减轻了劳动强度,提高工作效率,改善码头环境。同时,为了建设港口文明提供了物质保证。