尺度适应性二代小波的图像去噪方法

根据二代小波变换的基本理论和特点,研究二代小波对图像去噪的效果。提出基于二代小波的尺度适应性分解算法,并使用改进阈值函数进行阈值分析后再对噪声图像进行去噪处理。实验结果证明,使用尺度适应性二代小波对图像去噪比其他方法具有更好的效果,去噪后的图像信噪比大大提高。     

新一代调度集中（CTC）对无线移动通信的需求分析及实现方案探讨

本文简要介绍了新一代调度集中的主要特点，重点分析其对无线移动通信的要求，并分析了目前常见解决方案各自的利弊，就存在的问题提出了观点。     

物流配送车辆路径问题多代竞争遗传算法

针对遗传算法在解决车辆路径问题时效率较低的缺点,将寿命和年龄的概念引入遗传算法,提出了多代竞争遗传算法.每次通过遗传或变异更新一定数量的个体,对于个体按其年龄和寿命决定其是否留在下一代种群中,或终止其生命.通过这种方式,增加了较优秀个体在种群中的存活时间,加大了其繁殖几率和优秀基因被子代个体继承的概率.并应用算法对实际算例进行了测算,取得较满意结果.多代竞争遗传算法对其他优化问题同样适用.     

出行链视角下城市轨道交通接驳方式联合选择模型

以城市轨道交通出行方式链为例,针对城市轨道交通两端的接驳方式,构建基于交叉巢式Logit(CNL)模型的城市轨道交通出行链联合选择模型。模型从出行全过程角度,将轨道交通两端的接驳方式纳入一个模型里进行联合选择。模型选取出行者社会经济特征,发生端出行特征,到达端出行特征三类特征变量,建立联合概率模型,对特征变量进行标定。模型结论显示:(1)以到达客流为主的城市轨道交通站点对于交通接驳便捷程度的敏感性更高;(2)公交接驳方式转化为小汽车接驳的可能性更高。对于揭示城轨接驳规律,优化轨道接驳系统具有实际意义。     

Using GPS-data to determine optimum electric vehicle ranges: A Michigan case study

Fuel-switching personal transportation from gasoline to electricity offers many advantages, including lower noise, zero local air pollution, and petroleum-independence. But alleviations of greenhouse gas (GHG) emissions are more nuanced, due to many factors, including the car’s battery range. We use GPS-based trip data to determine use type-specific, GHG-optimized ranges. The dataset comprises 412 cars and 384,869 individual trips in Ann Arbor, Michigan, USA. We use previously developed algorithms to determine driver types, such as using the car to commute or not. Calibrating an existing life cycle GHG model to a forecast, low-carbon grid for Ann Arbor, we find that the optimum range varies not only with the drive train architecture (plugin-hybrid versus battery-only) and charging technology (fast versus slow) but also with the driver type. Across the 108 scenarios we investigated, the range that yields lowest GHG varies from 65 km (55+ year old drivers, ultrafast charging, plugin-hybrid) to 158 km (16–34 year old drivers, overnight charging, battery-only). The optimum GHG reduction that electric cars offer – here conservatively measured versus gasoline-only hybrid cars – is fairly stable, between 29% (16–34 year old drivers, overnight charging, battery-only) and 46% (commuters, ultrafast charging, plugin-hybrid). The electrification of total distances is between 66% and 86%. However, if cars do not have the optimum range, these metrics drop substantially. We conclude that matching the range to drivers’ typical trip distances, charging technology, and drivetrain is a crucial pre-requisite for electric vehicles to achieve their highest potential to reduce GHG emissions in personal transportation.     

一种船用磁场传感器的研究

介绍了一种船用磁场传感器的工作原理,针对其集成度高、采用磁通门和独特的检查绕组设计的特点进行了详细地探讨,总结了该传感器灵敏度高、精度好的原因,可为传感器设计提供学习和借鉴.     

Innovative strategies for urban car-sharing systems and a simulator to assess their performance

In this paper, three innovative car-sharing systems for urban areas are proposed, based on fleets of individual intelligent vehicles with three service characteristics: instant access, open-ended reservations and one-way trips. These features provide high flexibility but create an uneven distribution of vehicles among stations. Therefore, relocation of vehicles must be performed. Three different system procedures are proposed: in the first system, relocations are performed by users; in the other two, vehicles relocate automatically, thanks to their automation. In the first two systems, vehicles are accessible only at stations, whereas in the third they are also accessible along roads. In order to provide transport managers with a tool to test systems in different realities, an object-oriented simulator is developed. The simulation provides outputs of system performance, in terms of user waiting times and system efficiency. The proposed systems are simulated for the city of Genoa, in Italy, and a comparative analysis is presented.     

GSM-R中跨SGSN更新时源SGSN域名解析数据的智能生成方案设计

源SGSN域名解析数据是GSM-R网络编号方案数据中重要的需跨局制作的一类数据。由RAI编码构造生成,在跨SGSN路由区更新时,存储于DNS中,以解析源SGSN的IP地址。全路400多条G网线路,错综复杂的基站引用关系,导致数据复杂多样。针对该情况,利用聚类分析和关联规则分析算法,研究源SGSN解析数据的智能生成方案,提高数据的全面性、准确性,从而有效保障GSM-R分组域应用业务的正常运转。     

大城市中心区实施拥堵收费的影响评价研究

文章在分析大城市中心区拥堵收费实施条件与方式的基础上,定性分析实施拥堵收费对居民出行行为以及中心区动静态交通的影响,最后提出基于模糊评价理论的中心区拥堵收费影响评价模型.     

Path-constrained traffic assignment: A trip chain analysis under range anxiety

This paper proposes and analyzes a distance-constrained traffic assignment problem with trip chains embedded in equilibrium network flows. The purpose of studying this problem is to develop an appropriate modeling tool for characterizing traffic flow patterns in emerging transportation networks that serve a massive adoption of plug-in electric vehicles. This need arises from the facts that electric vehicles suffer from the “range anxiety” issue caused by the unavailability or insufficiency of public electricity-charging infrastructures and the far-below-expectation battery capacity. It is suggested that if range anxiety makes any impact on travel behaviors, it more likely occurs on the trip chain level rather than the trip level, where a trip chain here is defined as a series of trips between two possible charging opportunities (Tamor et al., 2013). The focus of this paper is thus given to the development of the modeling and solution methods for the proposed traffic assignment problem. In this modeling paradigm, given that trip chains are the basic modeling unit for individual decision making, any traveler’s combined travel route and activity location choices under the distance limit results in a distance-constrained, node-sequenced shortest path problem. A cascading labeling algorithm is developed for this shortest path problem and embedded into a linear approximation framework for equilibrium network solutions. The numerical result derived from an illustrative example clearly shows the mechanism and magnitude of the distance limit and trip chain settings in reshaping network flows from the simple case characterized merely by user equilibrium.