Traffic video‐based intelligent traffic control system for smart cities using modified ant colony optimizer

Road traffic congestion is a serious problem in today's world and it happens because of urbanization and population growth. The traffic reduces the transport efficiency in the city, increases the waiting time and travel time, and also increases the usage of fuel and air pollution. To overcome these issues this papers propose an intelligent traffic control system using the Internet of Vehicles (IoV). The vehicles or nodes present in the IoV can communicate between themselves. This technique helps in determining the traffic intensity and the best route to reach the destination. The area of study used in this paper is Vellore city in Tamilnadu, India. The city map is separated into many segments of equal size and Ant Colony Algorithm (AOC) is applied to the separated maps to find the optimal route to reach the destination. Further, Support Vector Machine (SVM) is used to calculate the traffic density and to model the heavy traffic. The proposed algorithm performs better in finding the optimal route when compared to that of the existing path selection algorithms. From the results, it is evident that the proposed IoV‐based route selection method provides better performance.     

面向噪声丢包感知的无线网络拥塞算法

针对无线网络链路干扰大、误码率高等特点，以及TCP Westwood算法（TCPW）存在估算带宽时过度依赖包的反馈，缺乏区分传输过程中丢包类型的缺点等问题，提出一种TCPW拥塞控制优化算法--TCPW-F。该算法利用发送速率等构建拥塞因子[F]作为判断丢包类型的依据，同时对判定发生噪声丢包时的拥塞窗口进一步调整，避免噪声丢包引起的窗口下降，提高该情况下窗口的发送效率。仿真结果表明，TCPW-F算法在时延性能方面表现更优，单位时间抖动趋于稳定的速度更快。在同一信道带宽下增大包生成速率，改进算法的实时吞吐量明显高于原算法，具备一定的噪声丢包感知能力，无线网络的TCP传输质量获得较大改善。     

Energy Conservation &Environmental Protection of Waste Rubber Compr ehensive Utilization Re-upgraded

＂Even though the realized profit of 38 key member enterprises increased by 14.96% in the first 7 months of this year, we shall be acutely aware of the big gap from the resource-saving and eco-friendly enterprises as the economic benefit of the industry is increasing. In particular, the environmental protection situation is severe in the current industry, so environmental protection becomes a historical mission in waste rubber comprehensive utilization industry.＂     

城市道路路边停车设置方法研究

静态交通同动态交通一样是城市道路交通的一部分,静态交通不仅是交通问题,而且是一个土地利用问题,城市土地有限,不可能满足静态交通需求,还需要在不影响动态交通情况下,设置路边停车,才能即满足停车需求。本文从研究路边停车设置着手,提出了路边停车设置条件和方法,以规范路边停车设置和管理,改善道路交通秩序,充分利用道路空间,缓解城市道路交通拥挤程度。     

一种考虑设备可载性的输电线路动态应急增容方法

充分利用输电线路动态应急增容能力,对于避免设备因过载而损坏,保证系统可靠性和为调度调整预留时间意义重大。在现有研究工作的基础上,提出了一种考虑设备可载性的输电线路动态增容方法,在应急场景下,采用通道阻塞分析选取增容线路,并分析增容线路在线温、故障概率、失效贡献、个体损失等约束下设备可载性,并结合微气象信息针对不同应用场景进行应急增容方案的差异化分析。算例分析定量展现了可载性约束下线路应急增容策略的计算分析过程及设备可载性对应急增容策略的影响。该方法能充分响应设备状态、气象环境、系统工况对设备可载性的影响,并基于设备可载性实现线路的差异化应急增容,进而指导调度人员进行增容、限容操作。     

欧洲统一电力市场建设及对中国电力市场模式的启示

当前中国正处于深化电力市场建设的关键时期,考虑到构建资源大范围优化配置电力市场的迫切需求,回顾欧盟电力市场化改革的历程和主要做法,对于中国下一步深化改革具有重要借鉴意义。首先梳理了欧盟统一电力市场建设背景和历程;其次从市场架构、主要品种、输电阻塞处理方式等几个方面,对欧盟统一电力市场建设主要举措和最新进展进行了梳理;最后基于国内电力市场建设环境和需求,分析了欧盟经验对中国电力市场建设发展的启示,并给出了有关建议。     

主动配电网源荷协调多目标阻塞调度

随着电动汽车的规模化发展,其所具备的灵活充放电时间转移能力,使得电动汽车充放电秩序的选择成为影响主动配电网出现负荷尖峰的一个重要因素,大量电动汽车无序集中用电,甚至会引起网络阻塞。文中基于中国电力市场的实际情形,结合电动汽车群充放电的柔性与主动配电网中可控分布式电源发电出力的灵活性,将电动汽车群、可控分布式电源,以及从大电网的购电量作为调度对象,以电动汽车群充放电费用最少和系统发电成本最低为目标,提出一种充放电服务费调整策略下的主动配电网源荷协调多目标阻塞调度模型。算例验证表明,所提出的阻塞调度策略可降低系统阻塞效应、提高电网运行安全性和经济性。     

基于智能软开关与市场机制的有源配电网阻塞管理方法

随着高渗透率可再生能源和大规模灵活负荷的广泛接入,在市场环境下用户以实现自身利益最大化的电能生产或消费行为,将可能导致配电网潮流分布在时间及空间上的过度集中,从而出现阻塞问题。文中提出了一种基于智能软开关与市场机制的有源配电网阻塞管理方法。考虑市场环境下灵活负荷的响应特性,建立了基于智能软开关与电价机制的配电网阻塞管理模型,通过将直接控制手段与市场调节机制相结合来解决有源配电网的阻塞问题。采用PGE 69节点算例对所提出的阻塞管理方法进行了分析与验证。结果表明,该方法可以有效解决配电网阻塞问题,且智能软开关对于缓解系统阻塞及降低阻塞费用有显著作用。     

Context‐aware Android applications through transportation mode detection techniques

In this paper, we study the problem of how to detect the current transportation mode of the user from the smartphone sensors data, because this issue is considered crucial for the deployment of a multitude of mobility‐aware systems, ranging from trace collectors to health monitoring and urban sensing systems. Although some feasibility studies have been performed in the literature, most of the proposed systems rely on the utilization of the GPS and on computational expensive algorithms that do not take into account the limited resources of mobile phones. On the opposite, this paper focuses on the design and implementation of a feasible and efficient detection system that takes into account both the issues of accuracy of classification and of energy consumption. To this purpose, we propose the utilization of embedded sensor data (accelerometer/gyroscope) with a novel meta‐classifier based on a cascading technique, and we show that our combined approach can provide similar performance than a GPS‐based classifier, but introducing also the possibility to control the computational load based on requested confidence. We describe the implementation of the proposed system into an Android framework that can be leveraged by third‐part mobile applications to access context‐aware information in a transparent way. Copyright © 2016 John Wiley & Sons, Ltd.     

基于改进加权公平队列的变电站局域网通信队列调度策略

智能变电站通信网络中以太网技术的发展为智能变电站的数据共享提供了更为有效的途径。局域网通信队列调度策略作为其中的关键一环,其重要性也日益凸显。针对智能变电站中现有的优先级调度策略所存在的不足,对传统的加权公平队列(WFQ)算法进行了适当的改进,并在此基础上提出了一种适用于智能变电站的局域网通信队列调度方法。以典型的智能变电站为例,通过OPNET软件建立了通信网络模型,并对所提的调度策略进行了仿真。仿真结果表明,在紧急情况下,所提的智能变电站综合局域网通信队列调度策略可在保证高优先级队列服务质量的同时改善低优先级队列的延时特性。