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Road-RFSense: A Practical RF Sensing-Based Road Traffic Estimation System for Developing Regions

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Title Road-RFSense: A Practical RF Sensing-Based Road Traffic Estimation System for Developing Regions
 
Creator SEN, R
MAURYA, A
RAMAN, B
SINGH, A
MEHTA, R
KALYANARAMAN, R
 
Subject Sensors
RF
Performance
Model Training
Supervised Learning
Wireless sensor networks
road traffic monitoring
RSSI
SVM
 
Description An unprecedented rate of growth in the number of vehicles has resulted in acute road congestion problems worldwide, especially in many developing countries. In this article, we present Road-RFSense, a practical RF sensing-based road traffic estimation system for developing regions. Our first contribution is a new mechanism to sense road occupancy, based on variation in RF link characteristics, when line of sight between a transmitter-receiver pair is obstructed. We design algorithms to classify traffic states into two classes, free-flow versus congested, at timescales of 20 seconds with greater than 90% accuracy. We also present a traffic queue length measurement system, where a network of RF sensors can correlate the traffic state classification decisions of individual sensors and detect traffic queue length in real time. Deployment of our system on a Mumbai road gives correct estimates, validated against 9 hours of image-based ground truth. Our third contribution is a large-scale data-driven study, in collaboration with city traffic authorities, to answer questions regarding road-specific classification model training. Finally, we explore multilevel classification into seven different traffic states using a larger set of RF-based features and careful choice of classification algorithms.
 
Publisher ASSOC COMPUTING MACHINERY
 
Date 2014-12-28T14:08:17Z
2014-12-28T14:08:17Z
2014
 
Type Article
 
Identifier ACM TRANSACTIONS ON SENSOR NETWORKS, 11(1)
1550-4859
1550-4867
http://dx.doi.org/10.1145/2560189
http://dspace.library.iitb.ac.in/jspui/handle/100/16713
 
Language English