登录
首页 » Others » 基于改进蚁群算法的QoS组播路由问题研究

基于改进蚁群算法的QoS组播路由问题研究

于 2020-12-01 发布
0 311
下载积分: 1 下载次数: 1

代码说明:

基于改进蚁群算法的QoS组播路由问题研究基于改进蚁群算法的QoS组播路由问题研究

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • NGSIM使用手册(1)
    美国NGSIM系统的使用手册,方便读者高效的利用NGSIM进行数据下载,完成交通领域的研究Technical Report Documentation Page1. Report No2. Government Accession no3. Recipients Catalog NoFHWA-HOP-06-0124. Title and subtitle5. Report DateNext Generation Simulation(NGSIM) Data Format Planly20046. Performing Organization Code7. Author(s8. Performing Organization report noVijay Kovvali, richard margiotta, Robert franc, vassiliAlexiadis9. Performing Organization Name and Address10. Work Unit NoCAMBRIDGE SYSTEMATIC INC150 CAMBRIDGE PARK DRIVE SUITE 400011. Contract or grant noCAMBRIDGE MA 02140DTFH61-02-C-0003612. Sponsoring Agency Name and Address13. Type of Report and Period CoveredDepartment of transportationFinal reportFederal Highway AdministrationJuly 2003-july 2004Office of Acquisition Management14. Sponsoring Agency Code400 Seventh Street SW, RM 4410Washington, DC 2059015. Supplementary notesFHWA COTR: John Halkias, Office of Operations, and James Colyar, Office of Operations r&d16. AbstractThe Next Generation Simulation Program(NGSIM) Data Format Plan was developed to define thestructure, documentation, and transfer requirements for data that will be collected for estimationcalibration, and validation of core behavioral algorithms. The development of the data Format Plan isbased on existing formats that are relevant to ngsim and augmented to fill in gaps. to this end, a reviewof existing data formats was undertaken and their relevance to NGSiM was assessed. The review includeddata standards developed for intelligent transportation systems(ITS), data formats developed specificallyfor traffic simulation models, and data formats developed for broader transportation applications. Thespecified data formats were developed with the objective of promoting efficient research by maintainingonsistency between data collection and research, and providing consistent storage and transmittalprotocols. On the other hand, this plan intentionally avoids over specification of data formats, so as tominimize unnecessary limitations to research. This document specifies the conceptual data model by meansof Unified Modeling Language UMl class diagrams; the data dictionary in the data standard prescribed bP1489-1999 format developed by the Institute of Electrical and Electronics Engineers(IEEE); the dataexchange structure for data transfer from user to user or from the database/repository to users; and theNGSIM metadata17. Key words1 8. Distribution StatementNext generation simulation, NGSIM, trafficNo restrictions. This document is available to thesimulation, high-level plan, traffic data collection, public through the National Technical Informationvehicle trajectory dataService, Springfield, VA2216119. Security Classif. (of this report) 20. Security Classif. (of this page) 21. No of Pages22. PriceUnclassifiedUnclassifiedForm dot e1700.7(8-72)Reproduction of completed pages authorizedTABLE OF CONTENTSEXECUTIVE SUMMARY1.0 INTRODUCTION1.1High- Level plan context……垂垂垂垂·着垂垂垂垂非垂·非垂垂看垂音非非;·垂垂音看垂看垂1.2 Background1.3 Data Collection Types……1344581. 4 Data Conversion1.5 Data Formats·····.···············.··.···.·;···..·.··..·.···2.0 NGSIM DATA REQUIREMENTS22 Microsimulation Software Data format,…………172.1 NGSIM Data…192.3 Rcquirements for NgsiM data Collection..................193.0 RECOMMENDED NGSIM DATA FORMATS..m. 233.1 NGSIM Data model233.2 NGSIM Data Dictionary……………243.3 NGSIM Metadata.............................253.4 NGSIM Data Exchange Format273.5 File and Directory Naming Convention……293.6 Summary30REFERENCES31APPENDIX A-REVIEW OF EXISTING TRANSPORTATION DATA FORMATS3APPENDIX B-ACCURACY REQUIREMENTS FOR NGSIM DATACOLLECTION,45APPENDIX C-DATA MODEL∴….,,53APPENdIXD-DATA DICTIONARY.APPENDIX E-METADATA. ...........................................................................................99APPENdIX F-SYSTEM-STATE DATA看香音看音香n117List of FiguresFigure 1 Diagram. NGSIM task interdependencies4Figure2. Diagran. Data format classification relevant to ngsim1………Figure 3. Diagram. Top level data model of general traffic simulation55Figure4. Diagram. Influencing factors database packages………………56Figure 5. Diagram. Behavioral models packages57Figure6. Diagran. Facility type generalization…………18Figure 7. Diagram. Traffic management systems generalization......59Figure 8. Diagram. Transit management systems generalizationFigure9. Diagran. nvironment generalization.………………………0Figure 10. Diagram NTCIP Controller class diagram61Figure 11 Diagram Actuated traffic signal controller generalization2Figure12 Diagram. Generalized microsimulation data model………………63Figure 13 Diagram Data concept components and constructs(IEEE Std 1489-1999)66List of tablesTable 1. Example validation data by algorithm categoryTable 2. Summary of NGSiM categorizations for data formatsTable 3. Accuracy requirements for vehicle trajectory data. ..45Table 4. Accuracy requirements for instrumented vehicle data.........46Table 5. Accuracy requirements for wide-area detector data......... 47Table 6. Accuracy requirements for nctwork-rclated data48Table 7. Accuracy requirements for representative transportation managementsystems data52Table 8. Terminology for UMLmodeler54Table 9. Data dictionary for NgSim.67Table 10 processing documentation metadata for ngsimwwwwwm116Table1l. Requisite vehicle trajectory data…………………………117Table 12. requisite wide-area detector data requirements……118EXECUTIVE SUMMARYThe Next Generation Simulation Program(NGsim) Data Format plan was developed todefine the structure, documentation, and transfer requirements for data that will be col-lected for estimation, calibration, and validation of core behavioral algorithms. Thedevelopment of the data format plan is based on existing formats that are relevant toNGSIM and augmented to fill in gaps. To this end, a review of existing data formats wasundertaken and their relevance to ngsim was assessed. The review included data standards developed for intelligent transportation systems (ITS), data formats developed spe-cifically for traffic simulation models and data formats developed for broader transporta-tion applications. The specified data formats were developed with the objective of pro-moting efficient research by maintaining consistency between data collection andresearch, and providing consistent storage and transmittal protocols. On the other handthis plan intentionally avoids overspecification of data formats, so as to minimize unnecessary limitations to researchFour data format components were specified in this document, including: 1)data model,2)data dictionary, 3 )metadata, and 4) data exchange formatNGSIM Data Model- The conceptual data model for NGSIM data formats is pre-sented by means of Unified Modeling Language() class diagrams. Used in con-junction with the data dictionary, the data model allows for construction of a formaldatabase/repository for NGSIM validation dataNGSIM Data Dictionary This provides definition of individual data elementsrequired by NGsim. It follows the data standard prescribed by P1489-1999 formatdeveloped by the Institutc of Elcctrical and Electronics Engineers(ieee)NGSIM Data Exchange Format- The data cxchange structure dcfincs how datashould be transferred from user to user or from the database /repository to users. Thisdocument specifies the framework for developing data exchange formats by providingthe data model and the data dictionary; it also provides clear guidance on the formatstandards with which the data exchange format should conform Currently it doesnot provide specific schema for the data exchange formatsNGSIM Metadata- This includes both traditional metadata(definitions, specificationsand valid value lists for data elements and general information about the dataset andits availability); and processing metadata(what has happened to the data from data col-lection to data archival). Administrative metadata formats were adapted fromContent Standard for Digital Geospatial Metadata(FGDC-STD-001-1998), developedby the Federal Geographic Data Committee(FGDC). Recommendations for NGSiMprocessing metadata are based on the guidance provided in ASTM E2259-03, devel-oped by the American Society for Testing and Materials(ASTm)1.0 INTRODUCTIONThe objectives of the NGsim program include the followingDevelopment of a core set of open behavioral algorithms in support of traffic simulation with a primary focus on microscopic modelingCollection of extensive data that will be used for estimation calibration and validationof the core behavioral algorithms; and storing the data in a repository that can be uni-versally accessedThe High-Level Plan for DatasetsTask E3)identified different kinds of traffic data col-lection methods and technologies and recommended three kinds of data collection effortsfor ngsim, including vehicle trajectory data wide area detector data and instrumentedvehicle dataThis report Task F)presents the documentation, format structure, and transfer requirements for the ngsim data formats for these data collection efforts identified in task e3This report is organized as followsExecutive Summary -Provides an executive summary of this documentSection1.0-Provides an overview and introduction to this report, including the con-text of the data format plan within NGsIM, information on NGsim data collection anddata types, information on data conversion, general information on data formats, anda summary of available transportation data formats and their relevance for ngsimSection 2.0-Presents definitions and categorization for different data types, and pro-vides ngsim data requirementsSection 3.0-Presents data format recommendations for the NGsim program,including a data model, data elements for the data dictionary, metadata to describe thedata collection effort and data exchange formatsReferences-Presents references used in developing this data format planAppendix a-Presents a review of existing transportation data formatsAppendix B-Presents accuracy requirements for NGSiM data collectionAppendix C- Presents a UML representation of the ngsim data modelAppendix D-Presents a high-level NGSIM data dictionaryAppendix E- Presents metadata categories, dictionary, and recommended metadataformats for ngsim1.1 HIGH-LEVEL PLAN CONTEXTInterdependencies among NGSIM tasks are shown in figure 1. The High-Level Plan forDatasets(Task E. 3) presents an assessment of existing datasets of potential use for NGSIM,and makes recommendations on the focus for nGsim data collection methodologies. Thisreport on the data Format Plan task f) provides recommendations on the data exchangeformat(s) for NGSIM data collection efforts. The data formats are also influenced by theHigh-Level Verification and Validation Plan(task e 2)Task E 1-1Core algorithmAssessmentTask e,3Task e.1-2Task e2High-LevelCore AlgorithmHigh-Level Verificationlan for DatasetsPlanandⅤ alidation planTask eData format planFigure 1 Diagram. NGSIM task interdependencies.1.2 BACKGROUNDThe NGSiM field data collection effort pursues data required for developing, estimating,calibrating and validating traffic behavioral algorithms. Tactical route execution, opera-tional driving, and en-route strategic traveler behaviors were identified as the focus of theNGSIM core behavioral algorithm research in the identification and prioritization of coreAlgorithms Task D)report. The High-Level Verification and Validation Plan(task e2)provides an example of the data collection datasets for each algorithm category as shownin table 1. the table illustrates the extent over which data must be collected for each levelof algorithm. For example, for operational driving algorithms, a single stretch of roadwayon a freeway will likely be sufficient, while, for development of tactical driving algo-rithms, the data collection effort should be expanded to include the freeway section andmultiple entry and exit ramps that feed the freeway. The data formats developed in thisplan address the data, both static and dynamic, that are pertinent to the data collectionefforts necessary for developing and validating all three categories of driver behavioralalgorithms4
    2020-12-05下载
    积分:1
  • C# 后台动态增加chart(图表)
    C#后台动态增加chart控件,根据数据库读取的参数个数动态增加chart控件,并设置图表的属性使其样式美观,且实现动态显示数据
    2020-12-06下载
    积分:1
  • 3种模糊图像去噪:中值滤波、维纳滤波和全变分去噪
    文件包含了3中模糊图像去噪的源代码和分析,是在前人的基础上总结的。直接运行即可。环境是matlab7.0 .是一门课的期末作业。
    2020-12-12下载
    积分:1
  • matlab 非结构化网格划分
    网格划分代码,并动态显示划分过程。采用matlab语言
    2020-12-07下载
    积分:1
  • BP神经网络分类算法
    这个压缩包里共包括两个源代码,分别是训练算法,实际分类检测算法,主要是利用BP神经网络来分类。训练算法的原理可以直接参考,实际分类检测就是利用训练好的BP神经网络参数来进行分类。我的BP网络结构是3层,783结构。
    2020-12-04下载
    积分:1
  • 模拟段式存储管理的分配与回收(操作系统课程设计)
    模拟段式存储管理的分配与回收,包括输入给定的内存大小,进程的个数,每个进程的段数及段大小;当某进程提出申请空间的大小后,显示能否满足申请,以及为该进程分配资源后有关内存空间使用的情况。内含word文档。希望计算机学院的同学下载后不要照抄照搬,在这里发布只是能给你一个启发,希望对你有好处。
    2020-11-29下载
    积分:1
  • tcpip详解三卷全 完整清晰pdf
    完整pdf文件tcpip协议详解pdf中文版为大家提供卷一、卷二和卷三3个版本, 本书完整而详细地介绍了TCP/IP协议是如何实现的,描述了属于每一层的各个协议以及它们如何在不同操作系统中运行。
    2020-12-02下载
    积分:1
  • radon变换检测图像中的直线
    radon变换检测图像中的直线能够通过扫描测量的平均值求整个衰减系数的分布
    2020-12-04下载
    积分:1
  • 改进的高效Camshift跟踪算法
    Camshift是一种应用颜色信息的跟踪算法,它对做加速度的运动物体跟踪效果不够稳定和强壮,从准确预测目标位置及缩小目标搜索范围入手对 算法进行了改进该算法使用运动目标加速度运动位移方程预测下一时刻目标可能出现的位置,使用预测位置误差方程估计运动目标搜索范围,并使用HR滤波器对目标运动速度加速度等参数自适应地修正实验证明,改进的 Camshift有效地克服了Camshift 算法自身的缺陷,即使运动目标做加 速运动时,也可准确地预测运动目标的位置,缩小目标搜索范围,进而提高目标跟踪速度1802009,45(27)Computer Engineering and Applicationsg4△n=|k+1-1h+110802641033448080140260ak+=y·ak++1-y·a23625652902602892500≤ay≤13562567420246119848024048223647ghgk+1°532236541234345、61058123258323262Camshift500220M0-18025017005010015020025030050100150200250300b0。1=0.8、y=0.8shiftshiftgA8k[1 Collins R T Lipton A J. Introduction to the special section onvideo surveillance[J].IEEE Trans on Pattern Anaysis and Machine0Intelligence 2000 228 745-746[2 Hu Weiming Xiao Xuejuan Tan Tieniu Traffic accident predictionehicle tracking and traportation System 2003 11 220-223 Boyle M.The effects of capture conditions on the CAMSHiFT facetracker[R Alberta Canada Department of Computer Science Univer-sity of Calgary 20012007111991-19935] Murat T Digital video processing[M][SI. Prentice Ilall Inc 199694-956 Collins Lipton Kanade et al A system for video surveillance and monitoring VSAM final report Technical Report CMU2RI2TR200212[R]CamshiftRobotics Institute Carnegie Mellon University 2000o1994-2009ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net
    2020-11-27下载
    积分:1
  • 自适应门限法图像二值化(matlab)
    自适应门限法图像二值化。采用Ostu法(最大类间方差法)自动确定最佳阈值。同时也适用于光照不匀的图像,先将其分成几个部分,分别阈值化。效果非常好!!
    2020-12-04下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载