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Scientific paper ID 1751 : 2019/1
![]() INVESTIGATION AND ANALYSIS OF TRANSIT ROAD TRAFFIC THROUGH SPECIFIC RESIDENTIAL AREA WITH THE USE OF AN INTEGRATED SYSTEM OF MOBILE LPR CAMERAS
Iliyan Damyanov The subject of the present research is the automobile transit traffic, passing through residential area Musagenitsa in city Sofia, Bulgaria. The investigation is done via integrated system of mobile cameras. The main aim is the gathered and analysed information to be used for the improvement of traffic organization and safety, as well as for reducing the harmful impact and improving the ecological indicators in the residential area that is an object of the conducted research. A system for measuring and analyzing traffic is developed, which allows a detailed analysis of the traffic at the city crossroads, optimize traffic and intelligent traffic management lights. The system will also be useful for recognizing the car, monitoring and security.
интелигентна транспортна система интелигентни светофари транзитен трафик организация на движението и безопасност LPR камери система за измерване и анализ на трафикаintelligent transportation system intelligent traffic lights transit traffic traffIliyan Damyanov BIBLIOGRAPHY [1] W. McShane, R. Roess. Traffic engineering. Prentice-Hall. Englewood Cliffs, N.J, (1990) [2] Highway Capacity Manual. TRB, National Research Council, Washington, 2010. [3] Kerner B., Introduction to modern traffic flow theory and control, Berlin, Springer, 2009. [4] A.D. May, Traffic Flow Fundamentals, Prentice Hall, Englewood Cliffs (1990). [5] Antov A., „Transportation modelling 101“- practical guidelines, Sofia, 2017, ISBN: 978-619-188-109-3. [6] O. Thabet, Modeling and Macroscopic Simulation Of Traffic Streams on Multi-Lane Highways (Master Thesis), Cairo University, Giza, 2010. [7] R.P. Roess, E.S. Prassas, W.R. McShane, Traffic Engineering (third ed.), Pearson Prentice Hall (2004). [8] J.C. Tai, S.T. Tseng, C.P. Lin, K.T. Song, Real-time image tracking for automatic traffic monitoring and enforcement applications, Image Vis. Comput., 22 (2004), p. 485 [9] L.A. Klein, M.K. Mills, D.P. Gibson, Traffic Detector Handbook, vol. I (third ed.), Turner-Fairbank Highway Research Center, McLean, VA (2006) [10] N. E. Faouzi, L.A. Klein, Data Fusion for ITS: Techniques and Research Needs, Transportation Research Procedia, ISEHP 2016. International Symposium on Enhancing Highway Performance Vol. 15, Pages 495–512 (2016) [11] Al Kherret, A. Al Sobky, R. Mousa, Video-based detection and tracking model for traffic surveillance. Paper No. 15-1465 Presented at the 94th TRB Annual Meeting, Washington, DC, January 2015. [12] L. Mimbela, L. Klein, A Summary of Vehicle Detection and Surveillance Technologies Used in Intelligent Transportation Systems, FHWA Intelligent Transportation Systems Program Office, 2007. [13] Al Kherret, Video-Based Detection and Tracking Model for Acquiring Traffic Data (Ph.D. Dissertation), Cairo University, 2015. [14] G. Leduc, Road Traffic Data: Collection Methods and Applications, 2008. [15] http://www.hikvision.com/UploadFile/image/2... [16] Yordanov R., Miletiev R. Damyanov I., Iontchev E., Measurement and analysis of the road traffic - XXVII International Scientific Conference Electronics - ET2018, September, 2018, Sozopol, Bulgaria. [17] F. Ryan, Olariu S., On a Variant of the Mobile Observer Method, IEEE Transactions on Intelligent Transportation Systems (Volume: 18 , Issue: 2 , Feb. 2017 ), pp 441 – 449. [18] O. Czogalla, S. Naumann, ”Travel time estimation using floating car observers”, Proceedings 14th World Congress Intelligent Transportation Systems, Oct. 2007. [19] R. P. Roess, E. S. Prassas, W. R. McShane, Traffic Engineering, Englewood Cliffs, NJ, USA:Prentice-Hall, 2011. |