D.I. Surzhik1, A.O. Kovalenko2, A.A. Bykov3, O.R. Kuzichkin4, A.V. Koskin5

1 Vladimir state university (Vladimir, Russia)

1,2,4 Belgorod State University (Belgorod, Russia)

3 Financial University under the Government of the Russian Federation (Moscow, Russia)

5 Turgenev OSU (Orel, Russia)

1 arzerum@mail.ru, 2 Alexei.Kovalenko55555@yandex.ru, 3 bykov_a_a@list.ru, 4 Kuzichkin@bsu.edu.ru, 5koskin@oreluniver.ru

With the development of cities and the constant increase in the number of vehicles, the task of improving the efficiency of transport monitoring systems is becoming increasingly important. This article briefly analyzes current trends in the field of traffic flow monitoring systems and transport parameters identification systems, existing problems and ways to solve them. The results of the study of the method for identifying the parameters of the flow of vehicles based on the vibroacoustic method of control are presented. The vibration signals generated by the traffic flow carry a large amount of useful information, and their characteristics directly depend on the nature of their occurrence, the characteristics of the source and the propagation medium. Therefore, the proposed approach makes it possible to use the vibrational vibrations that occur in the soils of the roadside due to the movement of the car, in order to directly assess the parameters of the vehicle. The described mathematical model of a vibroacoustic signal in the case of a vehicle passing clearly shows the process of oscillation formation when a wheel pair comes into contact with an unevenness on the road surface. A block diagram of the algorithm of the vibroacoustic method for monitoring the parameters of traffic flows based on the control of speed and weight indicators of vehicles is presented, including registration, filtering, vehicle detection and processing of vibroacoustic signals with the extraction of informative components. In addition, the main attention in the article is paid to the description of the method of group processing of vibroacoustic signals, which solves the problem of determining the parameters of the traffic flow by filtering the coordinates of a moving object according to the observations of signals from several synchronous vibroacoustic sources. The main ratio was derived, which is used as the target functional for the regression determination of traffic flow parameters. In the final part of the article, the conclusions and results of the simulation of the operation of the traffic flow parameters identification system during the processing of vibroacoustic signals for the passage of cars are presented. Thus, with further research and practical implementation, this method can be used in addition to other approaches to improve the efficiency of existing systems for controlling and monitoring traffic flows.

Surzhik D.I., Kovalenko A.O., Bykov A.A., Kuzichkin O.R., Koskin A.V. Investigation of the method for identifying the parameters of flow of vehicles based on the vibroacoustic method of control. Information-measuring and Control Systems. 2023. V. 21. № 6. P. 7−15. DOI: https://doi.org/10.18127/j20700814-202306-02 (in Russian)

1. Vdovin E.A., Belobrova N.V., Nikolaeva R.V. Osnovnye aspekty vnedreniya intellektualnykh transportnykh sistem v organizatsii upravleniya dorozhnym dvizheniem. Vestnik NTs BZhD 2013. № 4(18). S. 5−10. (in Russian)
2. Borisov E.K., Alimov S.G., Usov A.G. Eksperimentalnaya dinamika sooruzhenii. Monitoring transportnoi vibratsii. Petropavlovsk-Kamchatskii: KamchatGTU. 2007. 128 s. (in Russian)
3. Ivashchuk O.A. Povyshenie ekologicheskoi bezopasnosti avtotransporta regiona na osnove sistem monitoringa s ispolzovaniem intellektualnykh tekhnologii. Orel: OrelGTU. 2008. 244 s. (in Russian)
4. Kovalenko A.O., Baknin M.D., Dorofeev N.V. Primenenie vibroakusticheskogo metoda dlya upravleniya i kontrolya transportnymi potokami. Algoritmy, metody i sistemy obrabotki dannykh. 2017. № 1(35). S. 28−35. (in Russian)
5. Obertov D.E., Bardov V.M. Algoritm obnaruzheniya transportnykh sredstv s pomoshchyu akselerometrov. Informatsionno-upravlyayushchie sistemy. 2013. № 6(67). S. 6−13. (in Russian)
6. Hostettler R. Traffic Counting Using Measurements of Road Surface Vibrations. Master’s thesis. Lulea University of Technology. 2009. P. 1–48.
7. Osinovskaya V.A. Modelirovanie chastotnogo spektra kolebanii dorozhnoi konstruktsii avtomobilnoi dorogi. Vestnik MADI. 2013. № 4(35). S. 72−77. (in Russian)
8. Hostettler R., Birk W., Lundberg Nordenvaad M. Feasibility of Road Vibrations based Vehicle Property Sensing. Intelligent Transport Systems. IET. 2010. V. 4(4). P. 356−364.
9. Pugachev V.S., Sinitsyn I.N. Stokhasticheskie differentsialnye sistemy. Analiz i filtratsiya. M: Nauka.1990. 642 s. (in Russian)
10. Kuzichkin O., Grecheneva A., Bykov A., Dorofeev N., Surzhik D. Methods and algorithms of joint processing of geoelectric and seismoacoustic signals in real time. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management. SGEM. 2018. V. 18. № 1.1. P. 877−884.
11. Kuzichkin O., Bykov A., Dorofeev N., Podmasteriev K. Determination of the preliminary phase of the facility destruction based on the resistance-acoustic method of control. 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Bucharest. 2017. P. 200−204.
12. Grecheneva A., Kuzichkin O., Dorofeev N., Mikhaleva E. Geotechnical monitoring of the buildings on the basis of analysis of transfer functions and cyclic vibrational technogenic loads. Journal of Adv Research in Dynamical & Control Systems. 2018. V. 10. Special Issue 02. P. 1995−2003.
13. Vyugina A.S., Kublik E.I., Chipchagov M.S., Labintsev A.I. Avtomatizirovannaya sistemy obespecheniya bezopasnosti goroda na osnove analiza zvukovykh dannykh. Informatsionno-izmeritelnye i upravlyayushchie sistemy. 2022. T. 20. № 6. S. 50−57. DOI: https://doi.org/10.18127/j20700814-202206-06