Research Article
Internet-of-Video Things Based Real-Time Traffic Flow Characterization
@ARTICLE{10.4108/eai.21-10-2021.171596, author={Ali Khan and Khurram S. Khattak and Zawar H. Khan and T. A. Gulliver and Waheed Imran and Nasru Minallah}, title={Internet-of-Video Things Based Real-Time Traffic Flow Characterization}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={8}, number={33}, publisher={EAI}, journal_a={SIS}, year={2021}, month={10}, keywords={Internet of Video Things (IoVT), Raspberry Pi (RPi), Video Streaming, Intelligent Transportation Systems (ITS), Camlytics}, doi={10.4108/eai.21-10-2021.171596} }- Ali Khan
Khurram S. Khattak
Zawar H. Khan
T. A. Gulliver
Waheed Imran
Nasru Minallah
Year: 2021
Internet-of-Video Things Based Real-Time Traffic Flow Characterization
SIS
EAI
DOI: 10.4108/eai.21-10-2021.171596
Abstract
Real-world traffic flow parameters are fundamental for devising smart mobility solutions. Though numerous solutions (intrusive and non-intrusive sensors) have been proposed, however, these have serious limitations under heterogeneous and congested traffic conditions. To overcome these limitations, a low-cost real-time Internet-of-Video-Things solution has been proposed. The sensor node (fabricated using Raspberry Pi 3B, Pi cameral and power bank) has the capability to
stream 2 Mbps MJPEG video of 640x480 resolution and 20 frames per second (fps). The Camlytics traffic analysis software installed on a Dell desktop is employed for traffic flow characterization. The proposed solution was field-tested with vehicle detection rate of 85.3%. The novelty of the proposed system is that in addition to vehicle count, it has the capability to measure speed, density, time headway, time-space diagram and trajectories. Obtained results can be employed for road network planning, designing and management.
Copyright © 2021 Ali Khan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
