Intelligent transportation systems use in-pavement inductive loop sensors to collect real time traffic data. This method is very expensive in terms of installation and maintenance. Our research is focused on developing advanced algorithms capable of generating high amounts of energy that can charge a battery. This electromechanical energy conversion is an optimal way of energy scavenging that makes use of piezoelectric sensors. The power generated is sufficient to run the vehicle detection module that has several sensors embedded together. To achieve these goals, we have developed a simulation module using software’s like LabVIEW and Multisim. The simulation module recreates a practical scenario that takes into consideration vehicle weight, speed, wheel width and frequency of the traffic.
|Commitee:||Ary, James, Hamano, Fumio|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 55/02M(E), Masters Abstracts International|
|Subjects:||Electrical engineering, Transportation planning, Energy|
|Keywords:||Detection, Energy, Piezoelectric, Scavenging, Sensors, Vehicle|
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