期刊文献+

基于电磁效应的轮式智能车导航控制 被引量:4

Navigation and Control for Wheeled Intelligent Car Based on Electromagnetic Effect
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摘要 以智能交通概念原型系统为背景,引入电磁效应构建了微型道路交通线路,采用微型控制器设计了在缩微交通环境中行驶的轮式小车导航与控制系统.根据沙盘区域的实际几何参数,建立了可行的行驶路线网络,引入RFID设计了交叉路口的转向策略,实现了多辆车模按照设定路径的准确行驶.针对电磁效应导航线的识别进行了理论分析,给出了系统架构和传感器布局,以及小车偏航距离与方向的判断方法.实际测试表明,所设计的电磁导航控制系统能够稳定运行,可引导小车在复杂的道路网络上准确行驶. With intelligent transportation system as the background,a navigation and control system of wheeled car was designed and implemented on the basis of the electromagnetic effect.The model cars would run in a micro-traffic-network environment.According to the real geometry parameters of the sand-table,feasible route for the cars was built and the direction-turning strategy of intersect junction with RFID tags was designed.Multiple conceptual models could run along with the designated path correctly.Theoretical analysis was proposed for electromagnetic navigation line.System architecture and sensors layout were introduced in details as well as the judgment of car's deviation,including distance and direction.Experimental test showed that the proposed navigation and control system can work stably and lead the wheeled car run correctly in complex route net.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2013年第7期917-921,共5页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(61273078) 中国博士后科学基金资助项目(2012M511164) 中央高校基本科研业务费专项资金资助项目(N110404030) 辽宁省博士启动基金资助项目(20124004)
关键词 轮式智能车 路径识别 电磁效应 转向控制 RFID wheeled intelligent car path recognition electromagnetic effect direction-turning control RFID(radio frequency identification)
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参考文献10

  • 1姚智胜,邵春福.道路交通状态预测研究[J].哈尔滨工业大学学报,2009,41(4):247-249. 被引量:6
  • 2商蕾,陆化普.城市微观交通仿真系统及其应用研究[J].系统仿真学报,2006,18(1):221-224. 被引量:30
  • 3Ma Y C,Ryan F,Chowdhury M,et al. Evaluation of theintegrated application of intelligent transportation systemtechnologies using stochastic incident generation andresolution modeling [ J ]. Simulation,2012,88 ( 1 ) : 123 -133.
  • 4Li G,Ma S F,He Z B. Simulation platform oriented to trafficcontrol and guidance coordination system [ C ] //The 18thInternational Conference on Industrial Engineering andEngineering Management (IE(SEM). Changchun, 2011 : 624-628.
  • 5李庆丰,王兆安,杨建国.混杂交通微观仿真原型系统的验证[J].系统仿真学报,2005,17(3):545-547. 被引量:3
  • 6Sommer C, Dressier F. Progressing towards realistic mobilitymodels in VANET simulations [ J ]. IEEE CommunicationMagazme,2008,46(11) :132 -137.
  • 7Killat M, Schmidt-Eisenlohr F, ffertenstein H, et al. Enablingefficient accurate large-scale simulations of VANETs forvehicular traffic management [ C ]//The 4th InternationalWorkshop on Vehicular Ad Hoc Networks (VANET,07). New .York,2007:29 -38.
  • 8Sommer C,German R, Dressier F. Bidirectionally couplednetwork and road traffic simulation for improved IVCanalysis[ J]. IEEE Transactions on Mobile Computing,2011,10(1) :3 -15.
  • 9Xiang W D,Huang Y,Majhi S. The design of a wireless accessfor vehicular environment prototype for intelligent transportationsystem and vehicular infrastructure integration [ C ]//IEEE 68thVehicular Technology Conference. Calgary,2008 : 1 -2.
  • 10Catani L, Frontoni E, Zingaretti P. Efficient traffic simulationusing busses as active sensor network [ C ]//ASME 2011International Design Engineering Technical Conferences andComputers and Information in Engineering Conference (IDETC/CIE2011). Washington D C,2011:889 -894.

二级参考文献26

  • 1王进,史其信.短时交通流预测模型综述[J].ITS通讯,2005,7(1):10-13. 被引量:13
  • 2Serge P.Hoogendoorn,Piet H.L.Bovy.State-of-the-art of Vehicular Traffic Flow Modeling.Special Issue on Road Traffic Modelling and Control [J].Journal of Systems and Control Engineering,2000.
  • 3Q.Yang.A Simulation Laboratory for Dynamic Traffic Management Systems [D].PhD thesis,Massachusetts Inst.of Tech.,Cambridge,MA,1997.
  • 4SHAO C F, ASAI K, NAKAGAWA S. Dynamic Forecasting for Traffic Flow on Urban Expressway with State Space Model [ C ]//Shanghai International Symposium on Urban Transportation, 1999:158-164.
  • 5SMITH B L, DEMETSKY M J. Traffic flow forecasting: comparison of modeling approaches [ J ]. Journal of Transportation Engineering, 1997, 123 ( 4 ) : 261 - 266.
  • 6AREM B V, KIRBY H R, VAN DER VLIST M J M, et al. Recent advances and application in the field of short-term traffic forecasting [ J ]. International Journal of Forecasting, 1997, 13( 1 ) :1 - 12.
  • 7CHROBOK R, KAUMANN O, WAHLE J, et al. Different methods of traffic forecast based on real data [ J ]. European Journal of Operational Research, 2004, 155(1): 558 -568.
  • 8WHITTAKER J, GARSIDE S, LINDVELD K. Tracking and predicting a network traffic process[ J ]. International Journal of Forecasting, 1997, 13 ( 1 ) :51 -61.
  • 9WILLIAMS B M. Multivariate Vehicular Traffic Flow Prediction-Evaluation of ARIMAX Modeling [ J ]. Transportation Research Record, 2001 ( 1776 ) : 194 - 200.
  • 10Stathopoulos A, KARLAFTIS M. Temporal and Spatial Variations of Real-Time Traffic Data in Urban Areas [ J ]. Transportation Research Record, 2001 (1768) : 135 - 140.

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