Otto, Colin W. (2006) Development of a mobile vehicle classification system. [USQ Project]
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Abstract
The requirement of non-invasive counting and classifying devices has grown significantly
in the last few years due to contributing factors from Occupational Health and Safety
Standards developed by state road authorities. There is significant risk associated with
departmental personnel working in proximity to traffic. The risk is elevated further
for these personnel working on the road whilst installing the devices in high speed and
high volume traffic environments.
The focus of this project was to develop a technology capable of classifying vehicles
into the Austroads 94 12 Bin Classification Standard. The restrictions for the system
were such that no devices or apparatus are placed on the carriageway, the detection
system would not affect motorists in anyway and the system would be portable and
suitable for multilane high-speed roads.
The system chosen to develop was based on the use of 2 infrared lasers. The project
deals with noise in the laser data via comparison of denoising techniques such as Low
Pass Filtering, Frequency Domain Thresholding and Discrete Wavelet Transform. It
was found in the project that Wavelet Denoising offers the best noise reduction for
the signal and was far superior at retaining the signal properties. The accuracy of the
developed system was found to be low compared with that of commercially available
systems. However, the discrepancy is attributed to sensor synchronization, a problem
able to be solved by the introduction of a designated processor.
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