Wireless sensor networks (WSN) employ self-powered sensing devices that are mutually interconnected through wireless ad-hoc technologies. This study illustrates the basics of WSN-based trafﬁc monitoring and summarises the possible beneﬁts in Intelligent Transport Systems (ITS) applications for the improvement of quality and safety of mobility. Compared with conventional infrastructure-based monitoring systems, this technology facilitates a denser deployment of sensors along the road, resulting in a higher spatial resolution of trafﬁc parameter sampling. An experimental data analysis reported in this study shows how the high spatial resolution can enhance the reliability of trafﬁc modelling as well as the accuracy of shortterm trafﬁc state prediction. The analysis uses the data published by the freeway performance measurement system of the University of California –Berkeley and the California Department of Transportation. A microscopic cellular automata model is used to estimate trafﬁc ﬂow and occupancy over time on a road segment in which a relevant trafﬁc-ﬂow anomaly is detected. The analysis shows that the estimate accuracy improves for increasing number of active sensors, as feasible in the case of WSN-based monitoring systems.
|Titolo:||Wireless sensor networks for traffic management and road safety|
|Data di pubblicazione:||2012|
|Digital Object Identifier (DOI):||10.1049/iet-its.2010.0129|
|Appare nelle tipologie:||1.1 Articolo in rivista|
File in questo prodotto:
|WSN for traffic management and safety IET ITS 2012.pdf||2. Post-print||Non Pubblico - Accesso privato/ristretto||Administrator Richiedi una copia|