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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2014  >  14(4): 116-126
LIU Jiang, CAI Bo-gen, WANG Yun-peng. Cooperative vehicle positioning method based on GNSS/DSRC fusion[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 116-126.
Citation: LIU Jiang, CAI Bo-gen, WANG Yun-peng. Cooperative vehicle positioning method based on GNSS/DSRC fusion[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 116-126.
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Cooperative vehicle positioning method based on GNSS/DSRC fusion

  • 1.

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • 2.

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

  • 3.

    School of Transportation Science and Engineering, Beihang University, Beijing 100191, China

  • 4.

    Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beihang University, Beijing 100191, China

More Information
  • Author Bio:

    LIU Jiang(1985-), male, lecturer, PhD, +86-10-51684361, jiangliu@bjtu.edu.cn

  • Received Date: 2014-03-01
  • Publish Date: 2014-08-25
    Abstract
  • Aiming at the integration and information fusion of global navigation satellite system(GNSS)positioning and the cooperative positioning based on dedicated short-range communication(DSRC), an advanced selection strategy for neighborhood vehicle nodes for DSRC-based cooperative positioning was proposed based on the minimum principle of horizontal dilution of precision.For GNSS/DSRC integrated vehicle positioning, a loose-coupling positioning method was designed according to decentralized estimation scheme.In the positioning method, the parallel GNSS and DSRC filters were combined for global estimation, and the adaptive capability against different operation conditions was enhanced based on feedback strategy.The cooperative vehicle positioning method was verified by using a cooperative vehicle infrastructure simulation platform.Verification result indicates that the precision of DSRC-based positioning method was significantly improved by the selection strategy of neighborhood vehicle nodes.When the DSRCbased positioning method was used in the GNSS/DSRC integrated positioning, under normal operation condition, the precision of decentralized fusion estimation with feedback is better than that with single sensor mode and the decentralized estimation without feedback.Compared to the GNSS-alone mode under the given GNSS multipath interference condition, the root mean square errors of vehicle positioning method reduce by 42.6% and 37.0% in east and north direction respectively, and they reduce by 24.8% and 20.3% compared to the centralized fusion estimation.The performance of proposed positioning method is better than conventional positioning solutions, and has an enhanced tolerant ability to GNSS multipath interference conditions, which suggest the better precision, availability and practical application value of proposed method.

     

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    • References(26)
  • [1]
    王云鹏, 易振国, 夏海英. 等. 基于流行病模型的车路协同预警信息交互方法[J]. 北京航空航天大学学报. 2011, 37(5): 515-518.

    WANG Yun-peng, Yl Zhen-guo. XIA Hai-ying, et al. Cooperative traffic alarming method based on epidemic model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(5): 515-518. (in Chinese).
    [2]
    MATTERN N, OBST M, SCHUBERT R, et al. Simulative analysis of accuracy demands of co-operative localization in the COVEL project[C]//IEEE. Proceedings of 2011 IEEE Intelligent Vehicles Symposium. Baden-Baden: IEEE, 20111516-521.
    [3]
    SCHLINGELHOF M, BETAILLE D, BONNIFAIT P, et al. Advanced positioning technologies for co-operative systems[J]. IET Intelligent Transport Systems, 2008, 2(2): 81-91.
    [4]
    TOLEDOMOREO R. ZAMORA-IZQUIERDO M A, UBEDAMINARRO B, et al. High-integrity IMM-EKF-based road vehicle navigation with low-cost GPS/SBAS/INS[J]. IEEE Transactions on Intelligent Transportation Systems, 2007, 8(3): 491-511. doi: 10.1109/TITS.2007.902642
    [5]
    彭登, 徐建闽, 林培群. 城市车路协同系统的通信及定位技术研究[J]. 计算机工程与设计. 2011, 32(3): 859-862.

    PENG Deng, XU Jian-min, LIN Pei-qun. Research on communication of city cooperative vehicle infrastructure system and it's positioning technology[J]. Computer Engineering and Design, 2011, 32(3): 859-862. (in Chinese).
    [6]
    LI Hao, NASHASHIBI F, TOULMINET G. Localization for intelligent vehicle by fusing mono-camera, low-cost GPS and map data[C]/'IEEE. Proceedings of the 13th International IEEE Annual Conference on Intelligent Transportation Systems. Funchah IEEE, 2010: 1657-1662.
    [7]
    LI Kang, TAN H S, HEDRICK J K. Map-aided GPS/INS localization using a low-order constrained unscented Kalman filter[C]//IEEE. Proceedings of the 48th IEEE Conference on Decision and Control Held Jointly with 2009 28th Chinese Control Conference. Shanghai: IEEE, 2009: 4607-4612.
    [8]
    TOLEDO-MOREO R, BET AILLE D, PEYRET F. Lanelevel integrity provision for navigation and map matching with GNSS, dead reckoning, and enhanced maps[J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(1): 100-112. doi: 10.1109/TITS.2009.2031625
    [9]
    EFATMANESHNIK M, ALAM N, KEALY A, et al. Evaluation of a cooperative positioning algorithm by tight GPS/DSRC integration for vehicular networks[C]//IGNSS Society. Proceedings of International Global Navigation Satellite Systems Symposium. Tweed Heads: IGNSS Society, 2011: 1-14.
    [10]
    ALAM N, BALAEI A T, DEMPSTER A G. An instantaneous lane-level positioning using DSRC carrier frequency offset[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(4): 1566-1575. doi: 10.1109/TITS.2012.2195177
    [11]
    ALAM N. Three dimensional positioning with two GNSS satellites and DSRC for vehicles in urban canyons[C]/^Institute of Navigation. Proceedings of the 24th International Technical Meeting of the Satellite Division of the Institute of Navigation. Portland: Institute of Navigation, 2011: 3975-3983.
    [12]
    ALAM N, BALAEI A T, DEMPSTER A G. A DSRC dopplerbased cooperative positioning enhancement for vehicular networks with GPS availability[J]. IEEE Transactions on Vehicular Technology, 2011, 60(9): 4462-4470. doi: 10.1109/TVT.2011.2168249
    [13]
    REZAEI S, SENGUPTA R, KRISHNAN H, et al. Tracking the position of neighboring vehicles using wireless communications[J]. Transportation Research Part C: Emerging Technologies, 2010, 18(3): 335-350. doi: 10.1016/j.trc.2009.05.010
    [14]
    EFATMANESHNIK M, BALAEI A T, ALAM N, et al. A modified multidimensional scaling with embedded particle filter algorithm for cooperative positioning of vehicular networks[C]//IEEE. Proceedings of 2009 IEEE International Conference on Vehicular Electronics and Safety. Pune: IEEE, 2009: 7-12.
    [15]
    LI Jian, LU Wen-hua. Full truckload vehicle routing problem with profits[J]. Journal of Traffic and Transportation Engineering: English Edition, 2014, 1(2): 146-152. doi: 10.1016/S2095-7564(15)30099-4
    [16]
    EFATMANESHNIK M, KEALY A, BALAEI A T, et al. Information fusion for localization within vehicular networks[J]. The Journal of Navigation, 2011, 64(3): 401-416. doi: 10.1017/S0373463311000075
    [17]
    ANSARI K, WANG C, WANG L, et al. Vehicle-to-vehicle real-time relative positioning using 5.9 GHz DSRC media[C]//IEEE. Proceedings of 2013 IEEE 78th Vehicular Technology Conference. Las Vegas: IEEE, 2013: 1-7.
    [18]
    WILLIAMS T, ALVES P, LACHAPELLE G, et al. Evaluation of GPS-based methods of relative positioning for automotive safety applications[J]. Transportation Research Part C: Emerging Technologies, 2012, 23(1): 98-108.
    [19]
    来磊, 曲仕茹. 交通无线传感网络运动车辆定位方法[J]. 交通运输工程学报, 2013, 13(1): 114-120. doi: 10.3969/j.issn.1671-1637.2013.01.017

    LAI Lei, QU Shi-ru. Moving vehicle location method based on traffic wireless sensor network[J]. Journal of Traffic and Transportation Engineering, 2013, 13(1): 114-120. (in Chinese). doi: 10.3969/j.issn.1671-1637.2013.01.017
    [20]
    PEKER A U, ACARMAN T, YAMAN C, et al. Vehicle localization enhancement with VANETs[C]//IEEE. Proceedings of 2014 IEEE Intelligent Vehicles Symposium. Lansing: IEEE, 2014: 661-666.
    [21]
    NAJJAR M, BONNIFAIT P. A road-matching method for precise vehicle localization using belief theory and Kalman filtering[J]. Autonomous Robots, 2005, 19(2): 173-191. doi: 10.1007/s10514-005-0609-1
    [22]
    PESONEN H, PICHE R. Cubature-based Kalman filters for positioning[J]/'IEEE. Proceedings of the 7th Workshop on Positioning Navigation and Communication. Piscataway: IEEE, 2010: 45-49.
    [23]
    ALAM N, BABAEI A, DEMPSTER A. A filtering method for improving the precision of cooperative positioning in VANETs[C]//IGNSS Society. Proceedings of International Global Navigation Satellite Systems Symposium. Tweed Heads: IGNSS Society, 2011: 45-55.
    [24]
    NDIENG A N, GRUYER D, GLASER S, et al. Low cost IMU-odometer-GPS ego localization for unusual maneuvers[J]. Information Fusion, 2011, 12(4): 264-274. doi: 10.1016/j.inffus.2010.06.006
    [25]
    ARASARATNAM I, HAYKIN S. Cubature Kalman filters[J]. IEEE Transactions on Automatic Control, 2009, 54(6): 1254-1269. doi: 10.1109/TAC.2009.2019800
    [26]
    CARLSON N A. Federated square root filter for decentralized parallel processes[J]. IEEE Transactions on Aerospace and Electronic Systems, 1990, 26(3): 517-525. doi: 10.1109/7.106130
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