Convergent platform for multi-agent data processing in the “Smart Road” system

Authors

  • Alexey Germanovich Finogeev Penza State University http://orcid.org/0000-0002-4777-3364
  • Anton Finogeev Penza State University
  • Irina Nefedova Penza State University
  • Artur Lyapin Penza State University

DOI:

https://doi.org/10.18063/wct.v0i0.601

Abstract

In the article, the multi-agent platform for convergent sensor data processing in a monitoring system for Smart Road Infrastructure are considered. The platform works with a network of spatially distributed photo-radar complexes, which in real time record road accidents. The paper discusses tools for collection of road accident’s photo and video data fixation, data mining and forecasting of transport incidents, depending on various factors (meteorological, social, operational, etc.). The results of monitoring and analysis of traffic accidents, fixed by an intelligent monitoring system with photo-radar complexes are considered. The connection between the complexes and the data processing center using a heterogeneous wireless network is established. A multi-agent approach developed to address the tasks of sensor data collecting and processing.  Convergent approach is the convergence of cloud, fog and mobile data processing technologies. The structure of the neural network is adapted to the diagnosing problems and forecasting. The tasks of intellectual analysis and forecasting traffic accidents solved. The hybrid fuzzy neural network synthesized. Because the comparison of time series of traffic accidents and time series of meteorological factors, it established that the presence of factors to become determinants for an abnormal change in the traffic situation in controlled areas. The monitoring system is a part of Smart Road Infrastructure within the framework of the Smart & Safe City concept.

Author Biographies

Alexey Germanovich Finogeev, Penza State University

Alexey Finogeev, Doctor of Science (Engineering), Professor, Honored
Worker of Higher Professional Education of the Russian Federation received his Doctorate of
Sciences from Penza State University (Penza, Russia). During his research career worked as an
engineer (Penza Politechnical Institute), researcher (Ottawa University), assistant professor, associate
professor, professor (Penza State University). Since 2004, he is the fulltime professor at the
Department of Computer Aided Design of Penza State University. The area of the scientific research is
connected with information technologies, network technologies, wireless technologies, technologies
for digital economy, BigData, sensor networks, SCADA system, 3D modeling and virtual reality,
computer aided design. Main science activities are related with design of intellectual and analytical
systems, wirless sensor networks, fog and grid computing, SCADA systems, adaptive decisionmaking
systems, geoinformation systems. Member of The Russian Academy of Natural History.

Anton Finogeev, Penza State University

Anton Finogeev, PhD, Penza State University (Penza, Russia). He is the docent at the Department of Computer Aided Design of Penza State University. The area of the scientific research is connected with information technologies, network technologies, wireless technologies, technologies for digital economy, sensor networks, SCADA system.

Irina Nefedova, Penza State University

Irina Nefedova, Penza State University (Penza, Russia). He is postgraduate student at the Department of Computer Aided Design of Penza State University. The area of the scientific research is connected with information technologies, network technologies, wireless technologies, technologies for digital economy, sensor networks, SCADA system.

Artur Lyapin, Penza State University

Artur Lyapin, Penza State University (Penza, Russia). He is postgraduate student at the Department of Computer Aided Design of Penza State University. The area of the scientific research is connected with information technologies, network technologies, wireless technologies, technologies for digital economy, sensor networks, SCADA system.

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Published

2018-12-26

Issue

Vol 2, No 3 (Published)

Section

Original Research Articles

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