Traffic surveillance and vehicle identification in ghat curves using Arduino
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Arduino is a great device for collecting, storing and transferring data from various sensors but there are times you need to make your data accessible from any place over the internet. The solution could be still advanced by developing a cloud based real time web publishing application that allows publishing any data with latency of 0.1 second. A robust real time vehicle detection algorithm for both signals is developed. Magnetic sensors turned out to be superior, achieving detection rates above 97% in the field, and led to the abandonment of future research using acoustic sensors. Vehicle classification and re identification schemes for low cost, low power platforms with very limited computation resources are developed and tested. The vehicle classification algorithms require orders of magnitude fewer computation resources while achieving correct classification rates comparable to the best of all published vehicle classification schemes inn tests with a large database, including 800 trucks. The algorithm for vehicle re identification is tested on a limited left-turn re identification experiment. The result is encouraging, but much more work is needed.
Authors and Affiliations
Pavithra Poornima. S
Keywords
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