13th Asia Pacific Transportation Development Conference
Research and Application of Urban Traffic Survey Method Based on Commercial Video Satellite Remote Sensing Technology
Publication: Resilience and Sustainable Transportation Systems
ABSTRACT
Aiming at the technical requirements of modern urban traffic survey for macroscopic, visual, and dynamic monitoring, this paper proposes a method for monitoring and analyzing urban traffic based on commercial video satellite and intelligent image processing technology. Firstly, the video satellite-based monitoring method was introduced based on the surveillance ability analysis of the commercial video satellites. Then, the calculation method of the traffic density, speed, and flow based on the video satellite data is developed. Finally, a case study of eastern area of Changchun City was performed. 11×4.5 square kilometer of urban traffic was observed by video satellite. The work of data acquisition, information extraction, and traffic analysis were conducted within a week and the labor costs were reduced greatly by using the intelligent image processing technology; moreover, the traffic flow calculation errors are reduced by 10% compared with the highway traffic flow statistical data.
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REFERENCE
Ao, W., Fu, Y., & Xu, F. (2018). “Detecting tiny moving vehicles in satellite videos.” Ar Xiv preprint arXiv:1807.01864.
China Highway Academy (1997). Traffic Engineering Manual, China Communications Press, China.
Daiheng, Ni., (2016). Traffic Flow Theory, Elsevier, USA.
Elefteriadou, L. (2014). An Introduction to Traffic Flow Theory. Springer. USA
Horn, B. K. P., & Schunck, B. G. (1980). “Determining optical flow.” Artificial Intelligence, 17(1–3), 185-203.
Johnson, J. (1958). “Analysis of imaging forming systems”. Proceedings of SPIE - The International Society for Optical Engineering, 513 (513), 761.
Kerner, B. S. (2009). Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory. Springer. Germany.
Khan, M. A., Ectors, W., Bellemans, T., Janssens, D., & Wets, G. (2017). “Uav-based traffic analysis: a universal guiding framework based on literature survey.” Transportation Research Procedia, 22, 541-550.
Khan, M. A., Ectors, W., Bellemans, T., Ruichek, Y., Yasar, A. U. H., & Janssens, D., et al. (2018). “Unmanned aerial vehicle-based traffic analysis: a case study to analyze traffic streams at urban roundabouts.” Procedia Computer Science, 130, 636-643.
Kopsiaftis, G., & Karantzalos, K. (2015). “Vehicle detection and traffic density monitoring from very high resolution satellite video data.” Geoscience & Remote Sensing Symposium, 1881-1884.
Pawar, B. D. & Humbe, V.T (2015). “Morphology based composite method for vehicle detection from high resolution aerial imagery.” Vnsgu, Journal of Science and Technology, 4(1), 50-56.
Prutha, Y. M., & Anuradha, S. G. (2014). “Morphological image processing approach of vehicle detection for real time traffic analysis.” International Journal of Engineering Research & Technology, 3(5), 2278-0181.
Qi, H P, Wang, W, Tian, Q J. (2004). “Study on application of high resolution remote sensing data in urban traffic plan.” Journal of Highway and Transportation Research and Development, 21(6), 109-112.
Salvo, G., Caruso, L., & Scordo, A. (2014). “Urban traffic analysis through an uav.” Procedia- Social and Behavioral Sciences, 111, 1083-1091.
Tao, Y., Xiwen, W., Bowei, Y., Jing, L., Yanning, Z., and Zhannan, H., et al. (2016). “Small moving vehicle detection in a satellite video of an urban area.” Sensors, 16(9), 1528-1536.
Yuan, Y. Q., He, G. J., Jiang, W. et al. (2018) “Application of earth observation system of video satellite.” Remote Sensing for Land and Resources, 30 (3): 1 - 8.
Information & Authors
Information
Published In
Resilience and Sustainable Transportation Systems
Pages: 10 - 18
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2
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© 2020 American Society of Civil Engineers.
History
Published online: Jun 29, 2020
Published in print: Jun 29, 2020
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