- 4.2Impact Factor
- 7.5CiteScore
- 18 daysTime to First Decision
Computers, Volume 11, Issue 10
2022 October - 11 articles
Cover Story: Most vehicle classification systems now use data from images or videos. However, these visual approaches violate drivers’ privacy and reveal their identities. This study uses seismic waves recorded by geophones to compare time series data between different vehicle types. We applied various artificial intelligence approaches using raw data from three different vehicle sizes (bus/truck, car, and motorcycle) and background noise. By using the geophone data, this study compares the decoding abilities of logistic regression, support vector machine, and naïve Bayes (NB) approaches to determine the class and number of automobiles. Our auto-classification approach provides a low-cost and privacy-preserving traffic monitoring system. View this paper
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