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Sensors 2016, 16(11), 1872; doi:10.3390/s16111872

A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

1
Department of Telecommunications, Brno University of Technology, 61600 Brno, Czech Republic
2
Institute of Structural Mechanics, Brno University of Technology, 60200 Brno, Czech Republic
3
Department of Electronics and Communications Engineering, Tampere University of Technology, 33720 Tampere, Finland
*
Author to whom correspondence should be addressed.
Academic Editors: Andrea Zanella and Toktam Mahmoodi
Received: 15 August 2016 / Revised: 7 October 2016 / Accepted: 18 October 2016 / Published: 8 November 2016
(This article belongs to the Special Issue Smart City: Vision and Reality)
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Abstract

The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city. View Full-Text
Keywords: smart city; Internet of Things; embedded devices; genetic algorithm; optimization smart city; Internet of Things; embedded devices; genetic algorithm; optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Masek, P.; Masek, J.; Frantik, P.; Fujdiak, R.; Ometov, A.; Hosek, J.; Andreev, S.; Mlynek, P.; Misurec, J. A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling. Sensors 2016, 16, 1872.

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