Monitoring of Road Transport Infrastructure for the Intelligent Environment «Smart Road»

In the article, the issues of monitoring the road transport infrastructure based on a distributed network of photoradar complexes for fixing traffic accidents have been considered. This 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 connection between the complexes and the data processing center is established to ensure secure data transmission using a heterogeneous transport network. In the process of monitoring, tasks of spatial and intellectual analysis, evaluation, and forecasting of traffic accidents and transport situations for preventive response, notification and warning road users are solved. The monitoring system is an integral part of Smart Road intellectual environment within the framework of the Smart & Safe City concept. A multi-agent model of convergent data processing is implemented for big sensor data, which integrates cloud, fog, and mobile computing technologies.

[1]  Alexey G. Finogeev,et al.  The convergence computing model for big sensor data mining and knowledge discovery , 2017, Human-centric Computing and Information Sciences.

[2]  Natalia Sadovnikova,et al.  Monitoring of Social Reactions to Support Decision Making on Issues of Urban Territory Management1 , 2016 .

[3]  Olivier Hersent,et al.  The Internet of Things: Key Applications and Protocols , 2011 .

[4]  Daqing Zhang,et al.  Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces , 2012, Pervasive.

[5]  Danila Parygin,et al.  Visualization of data about events in the urban environment for the decision support of the city services actions coordination , 2016, 2016 International Conference System Modeling & Advancement in Research Trends (SMART).

[6]  Licia Capra,et al.  Urban Computing: Concepts, Methodologies, and Applications , 2014, TIST.

[7]  Georgios K. Ouzounis,et al.  Smart cities of the future , 2012, The European Physical Journal Special Topics.

[8]  Juan Carlos Augusto,et al.  Ambient Intelligence and Smart Environments: A State of the Art , 2010, Handbook of Ambient Intelligence and Smart Environments.

[9]  Danila Parygin,et al.  A convergent model for distributed processing of Big Sensor Data in urban engineering networks , 2017 .

[10]  Ivan Stojmenovic,et al.  The Fog computing paradigm: Scenarios and security issues , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[11]  Juan Carlos Augusto,et al.  Handbook of Ambient Intelligence and Smart Environments , 2009, HAIS 2010.

[12]  Danila Parygin,et al.  Multi-agent approach to distributed processing big sensor data based on fog computing model for the monitoring of the urban infrastructure systems , 2016, 2016 International Conference System Modeling & Advancement in Research Trends (SMART).

[13]  Gabriel Nowacki,et al.  Development and Standardization of Intelligent Transport Systems , 2012, Transport Systems and Processes.