|Table of Contents|

Research progress and prospect of UAV applications in transportation information collection(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2012年06期
Page:
119-126
Research Field:
交通信息工程及控制
Publishing date:

Info

Title:
Research progress and prospect of UAV applications in transportation information collection
Author(s):
PENG Zhong-ren1; 2; 3;  LIU Xiao-feng4;  ZHANG Li-ye4;  SUN Jian1; 2
1. State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. Research center for Intelligent Transportation System and UAV Application, Shanghai Jiaotong University, Shanghai 200240, China; 3. Department of Urban and Regional Planning, University of Florida, Gainesville 32611, USA; 4. School of Transportation Engineering, Tongji University, Shanghai 201804, China
Keywords:
traffic information collection;  unmanned aerial vehicle;  information fusion;  image recognition;  geographic information system
PACS:
V279
DOI:
-
Abstract:
Based on the flight tests and subsequent studies of unmanned aerial vehicle(UAV), the opportunities and challenges of UAV in traffic information collection, processing and application were analyzed, and the application future of UAV in traffic planning and simulation, road surveillance, emergency dispatch, urban congestion analysis and so on was prospected. Analysis result shows that the traffic information collection method using UAV is effective for continuous traffic information collection and complements existing methods. Traffic information is automatically derived from UAV videos with the development of dynamic video processing technology. UAV traffic information can be used to study emergency responses, car-following, lane-changing behavior, traffic congestion and so on. However, the adaptability of UAV dynamic video processing technology needs to be improved. The research on car-following, lane-changing and traffic congestion using UAV information needs empirical testing. Some important research direction in the future includes the establishment of UAV-ground emergency communication and coordination system, and UAV-vehicle-road coordination communication system. 4 figs, 30 refs.

References:

[1] COIFMAN B, MCCORD M, MISHALANI R G, et al. Roadway traffic monitoring from an unmanned aerial vehicle[J]. Intelligent Transport Systems, 2006, 153(1): 11-20.
[2] AGRAWAL A, HICKMAN M.Automated extraction of queue lengths from airborne imagery[C]∥IEEE. Proceedings of the 7th international IEEE Conference on Intelligent Transportation Systems. Washington DC: IEEE, 2004: 297-302.
[3] RUHE M, KUHNE R, ERNST I, et al. Airborne systems and data fusion for traffic surveillance and forecast for the soccer world cup[C]∥TRB. Proceedings of the 86th Annual Transportation Research Board Meeting. Washington DC: TRB, 2007: 311-326.
[4] 刘晓锋,常云涛,王 珣.稀疏路网条件下的无人飞机交通监控部署方法[J].公路交通科技,2012,29(3):124-130. LIU Xiao-feng, CHANG Yun-tao, WANG Xun. An UAV allocation method for traffic surveillance in sparse road network[J]. Journal of Highway and Transportation Research and Development, 2012, 29(3): 124-130.(in Chinese)
[5] LIU Xiao-feng, PENG Zhong-ren, CHANG Yun-tao, et al. Multi-objective evolutionary approach for UAV cruise route planning to collect traffic information[J]. Journal of Central South University, 2012, 19(12): 3614-3621.
[6] 储 浩,杨晓光,吴志周.交通移动采集技术及其适用性分析[J]. ITS通讯,2005,10(5):57-60. CHU Hao, YANG Xiao-guang, WU Zhi-zhou. The traffic moving-collection technology and its applicability[J]. Intelligent Transportation Systems, 2005, 10(5): 57-60.(in Chinese)
[7] COIFMAN B, MCCORD M, MISHALANI M, et al. Surface transportation surveillance from unmanned aerial vehicles[C]∥TRB. Proceedings of the 83rd Annual Transportation Research Board Meeting. Washington DC: TRB, 2004: 101-107.
[8] 刘晓锋,彭仲仁,张立业,等.面向交通信息采集的无人飞机路径规划[J].交通运输系统工程与信息,2012,12(1):91-97. LIU Xiao-feng, PENG Zhong-ren, ZHANG Li-ye, et al. Unmanned aerial vehicle route planning for traffic information collection[J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(1): 91-97.(in Chinese)
[9] 彭 辉,王 林,沈林成.区域目标搜索中基于改进RRT的UAV实时航迹规划[J].国防科技大学学报,2009,31(5):86-91. PENG Hui, WANG Lin, SHEN Lin-cheng. The modified RRT-based rea1-time route planning for UAV area target searching[J]. Journal of National University of Defense Technology, 2009, 31(5): 86-91.(in Chinese)
[10] 赵 锋,杨 伟,王 伟,等.基于组合优化算法的无人机航迹规划方法研究[J].弹箭与制导学报,2009,29(2):282-292. ZHAO Feng, YANG Wei, WANG Wei, et al. A study of UAV trajectory planning approach based on combined optimization method[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2009, 29(2): 282-292.(in Chinese)
[11] 张 艳,高晓光,魏小丰.四维空间中的无人机动态路径规划及仿真[J].系统仿真学报,2009,21(24):7838-7841. ZHANG Yan, GAO Xiao-guang, WEI Xiao-feng. Simulation of dynamic path planning for UAV in 4D space[J]. Journal of System Simulation, 2009, 21(24): 7838-7841.(in Chinese)
[12] HUTCHISON M G. A method for estimating range requirements of tactical reconnaissance UAVs[C]∥AIAA. Proceedings of 1st AIAA Technical Conference and Workshop on Unmanned Aerospace Vehicles. Portsmouth: AIAA, 2002: 1-12.
[13] TIAN Jing, SHEN Lin-cheng, ZHENG Yan-xing. Genetic algorithm based approach for multi-UAV cooperative reconnaissance mission planning problem[C]∥Springer.Proceedings of the 16th International Conference on Foundations of Intelligent Systems. Berlin: Springer, 2006: 101-110.
[14] YAN Qing-yu, PENG Zhong-ren, CHANG Yun-tao. Unmanned aerial vehicle cruise route optimization model for sparse road-network[C] ∥TRB. Proceedings of the 90th Annual Transportation Research Board Meeting. Washington DC: TRB, 2011: 432-445.
[15] PURI A,VALAVANIS K P, KONTITSIS M. Generating traffic statistical profiles using unmanned helicopter-based video data[C]∥IEEE. Proceedings of the 2007 IEEE International Conference on Robotics and Automation. Roma: IEEE, 2007: 870-876.
[16] PURI A, VALAVANIS K P, KONTITSIS M. Statistical profile generation for traffic monitoring using real-time UAV based video data[C]∥IEEE. Proceedings of the 2007 Mediterranean Conference on Control and Automation. Athens: IEEE, 2007: 34-40.
[17] MCCORD M R, MISHALANI R G, COIFMAN B, et al. Determining origin-destination flows across a two-intersection network from non-overlapping UAV and ground-based imagery[C]∥WANG K C P, SMITH B L, UZARSKI D R, et al. Proceedings of the 9th International Conference on Applications of Advanced Technology in Transportation. Chicago: the American Society of Civil Engineers, 2006: 647-652.
[18] BHASKAR A, CHUNG E, DUMONT A. Fusing loop detector and probe vehicle data to estimate travel time statistics on signalized urban networks[J]. Computer-Aided Civil and Infrastructure Engineering, 2011, 26(6): 433-450.
[19] DIA H, THOMAS K. Development and evaluation of arterial incident detection models using fusion of simulated probe vehicle and loop detector data[J]. Information Fusion, 2011, 12(1): 20-27.
[20] ANGEL A, HICKMAN M, MIRCHANDANI P B, et al. Methods of analyzing traffic imagery collected from aerial platforms[J]. IEEE Transactions on Intelligent Transportation Systems, 2003, 4(2): 99-107.
[21] CAO Xian-bin, WU Chang-xia, LAN Jin-he, et al. Vehicle detection and motion analysis in low-altitude airborne video under urban environment[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(10): 1522-1533.
[22] ANGEL A, HICKMAN M, MIRCHANDANI P, et al. Methods of traffic data collection, using aerial video[C]∥IEEE. Proceedings of the 5th International Conference on Intelligent Transportation Systems. Singapore: IEEE, 2002: 31-36.
[23] REINARTZ P, LACHAISE M, SCHMEER E, et al. Traffic monitoring with serial images from airborne cameras[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 61(3): 149-158.
[24] SHASTRY A C, SCHOWENGERDT R A. Airborne video registration and traffic-flow parameter estimation[J]. IEEE Transactions on Intelligent Transportation Systems, 2005, 6(4): 391-405.
[25] ZHANG C S. An UAV-based photogrammetric mapping system for road condition assessment[C]∥PRSSIS. Proceedings of the 2008 Photogrammetry, Remote Sensing and Spatial Information Sciences. Beijing: PRSSIS, 2008: 627-631.
[26] SUN D J, KONDYLI A. Modeling vehicle interactions during lane-changing behavior on arterial streets[J]. Computer-Aided Civil and Infrastructure Engineering, 2010, 25(8): 557-571.
[27] SUN D J, ELEFTERIADOU L. Research and implementation of lane-changing model based on driver behavior[J]. Transportation Research Record, 2010(2161): 1-10.
[28] LIU Xiao-feng, SUN Jian, CHANG Yun-tao, et al. Traffic status evaluation based on fuzzy clustering and rbf neural network[C]∥IEEE. Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discovery. Yantai: IEEE, 2010: 1405-1408.
[29] 孙 健,刘 琼,彭仲仁.城市交通拥挤成因及时空演化规律分析——以深圳市为例[J].交通运输系统工程与信息,2011,11(5):86-93. SUN Jian, LIU Qiong, PENG Zhong-ren. Research and analysis on causality and spatial-temporal evolution of urban traffic congestions—a case study on Shenzhen of China[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(5): 86-93.(in Chinese)
[30] 刘建华.城市道路常发性交通拥挤扩散范围估计方法研究[D].长春:吉林大学,2007. LIU Jian-hua. The research on the diffusion of recurrent congestion on urban road and forecasting method[D]. Changchun: Jilin University, 2007.(in Chinese)

Memo

Memo:
-
Last Update: 2012-12-30