Investigation, Testing, and development of an RFID system for effective maintenance of the existing national transportation infrastructure

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Erick Jones
Abhisheksinh Rathore
Sathishkumar Muthukumar


This project seeks to investigate
how RFID sensors can detect black ice
remotely to reduce the number of accidents
caused by this thin layer of ice when it is not
visible. Black ice, sometimes called clear ice, is
a thin coating of ice that is visually transparent
and often hard for drivers to identify. The
detection of this thin layer of ice is difficult
from the naked human eye. Due to this fact
many drivers have accidents when they lose
control of their vehicles after they are on the
black ice. Given this, our research
hypothesizes that if black ice can be detected
with remote RFID sensors, then a driver can
be informed early enough to minimize
accidents. The research utilizes a Design for

Six Sigma (DFSS) experimental approach to
test the performance of RFID based sensors on
simulated black ice conditions. The results
were determined based on the RFID sensors
read signal strength (RSSI). The results
indicate that signal strength is stronger in
thinner ice slivers. This research describes our
initial research hypothesis, set-up, and initial
finding. We expect through further findings
to use and Artificial Intelligence based
algorithm that calculates the ice thickness can
inform the driver through cell towers early
enough to avoid the black ice condition.

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