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

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ID: 111934
2016
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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.
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masek2016sensorsa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Pavel Masek;Jan Masek;Petr Frantik;Radek Fujdiak;Aleksandr Ometov;Jiri Hosek;Sergey Andreev;Petr Mlynek;Jiri Misurec;Masek, Pavel;Masek, Jan;Frantik, Petr;Fujdiak, Radek;Ometov, Aleksandr;Hosek, Jiri;Andreev, Sergey;Mlynek, Petr;Misurec, Jiri;
Journal sensors
Year 2016
DOI
10.3390/s16111872
URL
http://www.mdpi.com/1424-8220/16/11/1872/htm
Keywords
Internet of Things optimization genetic algorithm smart city embedded devices

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