Implementation of a Low-Cost Vehicle Traffic Monitoring System in the Town of Corfu (bibtex)
by Spiridon Vergis, Vasileios Komianos, Georgios Tsoumanis, Athanassios Spiggos, Konstantinos Oikonomou
Abstract:
This work presents a low-cost road traffic monitoring system using IoT devices. The system is structured in three tiers: (i) the mobile vehicle tracking system recording vehicles position and movement; (ii) the information gathering system that collects the recorded data from the mobile vehicle tracking system; and (iii) a fog-computing environment which process the collected data and upload it on servers for further process. The monitoring results presented in this work are collected in the historic town of Corfu during periods of both heavy and light traffic conditions. The system is able to recognize the vehicles' movement behavior during heavy and light traffic thus locating the areas where traffic congestion occurs. The results are accessed remotely by exploiting a fog computing infrastructure designed for this purpose and which updates the information on the processing server. In this context, the proposed low-cost system can by utilized to monitor traffic and locate areas where traffic congestion events are possible to happen in order to support enhanced urban transfer services in smart cities.
Reference:
Spiridon Vergis, Vasileios Komianos, Georgios Tsoumanis, Athanassios Spiggos, Konstantinos Oikonomou, "Implementation of a Low-Cost Vehicle Traffic Monitoring System in the Town of Corfu", In 2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), pp. 1-6, 2019.
Bibtex Entry:
@inproceedings{vergis2019implementation,
	Abstract = {This work presents a low-cost road traffic monitoring system using IoT devices. The system is structured in three tiers: (i) the mobile vehicle tracking system recording vehicles position and movement; (ii) the information gathering system that collects the recorded data from the mobile vehicle tracking system; and (iii) a fog-computing environment which process the collected data and upload it on servers for further process. The monitoring results presented in this work are collected in the historic town of Corfu during periods of both heavy and light traffic conditions. The system is able to recognize the vehicles' movement behavior during heavy and light traffic thus locating the areas where traffic congestion occurs. The results are accessed remotely by exploiting a fog computing infrastructure designed for this purpose and which updates the information on the processing server. In this context, the proposed low-cost system can by utilized to monitor traffic and locate areas where traffic congestion events are possible to happen in order to support enhanced urban transfer services in smart cities.},
	Author = {Vergis, Spiridon and Komianos, Vasileios and Tsoumanis, Georgios and Spiggos, Athanassios and Oikonomou, Konstantinos},
	Booktitle = {2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)},
	Doi = {10.1109/SEEDA-CECNSM.2019.8908378},
	Issn = {null},
	Keywords = {own, refereed, olinet},
	Month = {Sep.},
	Pages = {1-6},
	Title = {{{Implementation of a Low-Cost Vehicle Traffic Monitoring System in the Town of Corfu}}},
	Venue = {Piraeus, Greece},
	Year = {2019},
	Bdsk-Url-1 = {https://doi.org/10.1109/SEEDA-CECNSM.2019.8908378}}
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