TY - GEN
T1 - Experimental Evaluation of Piezoelectric Vehicle Speed Sensor for Smart Highways
T2 - 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023
AU - Underwood, Ivan
AU - Bailen, Kara Leah
AU - Dellapenna, Francis J.
AU - Taha, Luay Yassin
AU - Abdeltawab, Hussein
AU - Anwar, Sohail
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In smart highways and smart roads, detection and measuring the vehicle speed is essential for monitoring purposes and proper traffic and lane keeping operations. In our previous work, we presented a piezoelectric harvester and speed sensor by embedding, in the asphalt, two piezoelectric modules at a known distance. Each one generates pulses when stressed by the vehicle wheels. These pulses are collected by the Arduino microcontroller. Then, the vehicle speed is estimated using an estimation algorithm. The practical testing was carried out using the Hamburg Wheel Tracking machine which has limitation in varying the speed. In this work, we extend the practical testing of the system using two free fall objects that sequentially stress the two piezoelectric modules, thus generating two pulses have a time delay that is controlled using timing circuit. The pulses are acquired using the Arduino microcontroller. Then, the vehicle speed is estimated from the time difference between the two pulses. The experiment is repeated for different time delays to evaluate the sensing accuracy. Results have shown considerable accuracy in sensing the speed when the time delay between the pulses varies from 2s to 10s.
AB - In smart highways and smart roads, detection and measuring the vehicle speed is essential for monitoring purposes and proper traffic and lane keeping operations. In our previous work, we presented a piezoelectric harvester and speed sensor by embedding, in the asphalt, two piezoelectric modules at a known distance. Each one generates pulses when stressed by the vehicle wheels. These pulses are collected by the Arduino microcontroller. Then, the vehicle speed is estimated using an estimation algorithm. The practical testing was carried out using the Hamburg Wheel Tracking machine which has limitation in varying the speed. In this work, we extend the practical testing of the system using two free fall objects that sequentially stress the two piezoelectric modules, thus generating two pulses have a time delay that is controlled using timing circuit. The pulses are acquired using the Arduino microcontroller. Then, the vehicle speed is estimated from the time difference between the two pulses. The experiment is repeated for different time delays to evaluate the sensing accuracy. Results have shown considerable accuracy in sensing the speed when the time delay between the pulses varies from 2s to 10s.
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U2 - 10.1109/ICRERA59003.2023.10269353
DO - 10.1109/ICRERA59003.2023.10269353
M3 - Conference contribution
AN - SCOPUS:85175631008
T3 - 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023
SP - 576
EP - 580
BT - 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 August 2023 through 1 September 2023
ER -