Method of Video-Measurements of Traffic Flow Characteristics at a Road Junction

Document Type: Int. Conf. on Communication Management and Information Technology- ICCMIT'20

Authors

1 Professor, Department of Higher Mathematics, Faculty of Automobile Transport, Moscow Automobile and Road Construction State Technical University (MADI), Moscow, Russia.

2 Bachelor Student, Department of Higher Mathematics, Faculty of Automobile Transport, Moscow Automobile and Road Construction State Technical University (MADI), Moscow, Russia.

3 Bachalor Student, Department of Higher Mathematics, Faculty of Automobile Transport, Moscow Automobile and Road Construction State Technical University (MADI), Moscow, Russia.

Abstract

In the theory of traffic flows the main characteristics are: intensity, speed, and density.  They make it possible to use hydrodynamic models. In connection with the development of modern highways and road networks, traffic flows behavior is becoming more and more complex and diverse. In particular, the B.Kerner studies have shown that the laminar solution of hydrodynamic models is poorly correlated with experimental data. Our research team is developing tools for intelligent monitoring of traffic flows on fragments of the road network with different geometries.  The paper presents a project of a client-server system, which allows obtaining, in real-time, information regarding the basic characteristics of traffic flows at the junction of any configuration using mobile devices. The automation of obtaining characteristics is based on the application of image recognition algorithms (virtual detection method).

Keywords


Buslaev A., Yashina M., Abyshov R.& Kotovich I.. (2010).Mathematical Problems of Pattern Recognition for Traffic. in Proc. of the 2010 Seventh International Conference on Information Technology, Ed. Shahram Latifi, The IEEE Computer Society's Conference Publishing Services (CPS). p.1133 – 1135
Buslaev A.P., Wang N.J., Guo J.M.& Yashina M.V. (2009). On recovery of plane object shape by projections. IPCV, The 2009 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP-09). Las Vegas, Nevada, USA (July 13-16, 2009), in Proc. of the 2009 Int.Conf. on Image processing, computer vision and pattern recognition, Eds. Hamid R. Arabnia, Gehard Schaefer, CSREA Press. p.222-226
Buslaev A.P., Yashina M.V.& Yashin V.B. (2010). On recovery of 3D objects by projection. WorldComp - 2010. International Conference of Image Processing, Computer Vision, and Pattern Recognition (IPCV'10), 2010, Las Vegas, USA, p. 873 - 881
Kozlov V.V., Buslaev A.P., Bugaev A.S., Yashina M. V., Schadschneider A.& Schreckenberg M. Preface. (2011 (2013)).In the book: Traffic and Granular Flow. DOI: 10.1007/978-3-642-39669-4
Lukanin V.N., Buslaev A.P., Novikov A.V.& Yashina M.V. (2003). Traffic flows modelling and evaluation of energy-ecological parameters. Part II. International Journal of Vehicle Design. 33(4) 400-421
Lukanin V.N., Buslaev A.P., Trofimenko Y.V.& Yashina M.V.(1998).Modelling and optimal control of transport flows in megapolis. International Journal of Vehicle Design.19(3), p. 267-281
Lukanin, V. N., Buslaev, A. P., Novikov, A. V.& Yashina, M. V. (2003). Traffic flows modelling and the evaluation of energy-ecological parameters. Part I. International journal of vehicle design. 33(4), p. 381-399
Yashina M.V.&Vinogradov A.V. (2011 (2013)). On traffic control means recognition in intelligent monitoring and traffic safety Traffic and Granular Flow. Springer. p. 439-452