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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2207.08081 (cs)
[Submitted on 17 Jul 2022]

Title:Real Time Vehicle Identification

Authors:Chandra Shekhar, Sudipta Saha
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Abstract:Identification of the vehicles passing over the roads is a very important component of an Intelligent Transportation System. However, due to the presence of multiple vehicles together and their velocity, it gets hard to accurately identify and record them in real-time. Solutions based on Computer-vision use heavyweight equipment making them quiet inflexible, costly and hence unsuitable for wide-area coverage. Solutions based on RFID, although are lightweight and cost-effective, lack of fast and efficient communication protocol pertains to their inability to record multiple moving vehicles at the same time. We propose an IoT-assisted solution that leverages Synchronous-Transmission based communication to bridge these gaps. Through extensive experiments we demonstrate that our strategy can consistently record upto an average of 40 vehicles running at speed range 30-90 Km/h with at least 97.5% accuracy.
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as: arXiv:2207.08081 [cs.DC]
  (or arXiv:2207.08081v1 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.2207.08081

Submission history

From: Chandra Shekhar [view email]
[v1] Sun, 17 Jul 2022 05:44:14 UTC (111 KB)
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