SEE-TREND: SEcurE Traffic-Related EveNt Detection in Smart Communities.

Sensors (Basel)

Department of Electrical and Computer Engineering, Old Dominion University, 231 Kaufman Hall, Norfolk, VA 23529, USA.

Published: November 2021

It has been widely recognized that one of the critical services provided by Smart Cities and Smart Communities is Smart Mobility. This paper lays the theoretical foundations of SEE-TREND, a system for Secure Early Traffic-Related EveNt Detection in Smart Cities and Smart Communities. SEE-TREND promotes Smart Mobility by implementing an anonymous, probabilistic collection of traffic-related data from passing vehicles. The collected data are then aggregated and used by its inference engine to build beliefs about the state of the traffic, to detect traffic trends, and to disseminate relevant traffic-related information along the roadway to help the driving public make informed decisions about their travel plans, thereby preventing congestion altogether or mitigating its nefarious effects.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625393PMC
http://dx.doi.org/10.3390/s21227652DOI Listing

Publication Analysis

Top Keywords

smart communities
12
traffic-related event
8
event detection
8
detection smart
8
smart cities
8
cities smart
8
smart mobility
8
smart
7
see-trend secure
4
traffic-related
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!