Abstract
This research is about modelling and simulation of the RFID based Transport Highway Integrated System (THIS) using the iterative motion of the vehicle plying the highway and the application of Kalman filter to aid in effective positioning after signal transmit. This approach will help to identify drivers, vehicles and track location appropriately. The design when able to be implemented with the use of Kalman filter to filter out the noise there will be much accuracy in the vehicle position prediction on the high-way. According to the graphs obtained through Kalman algorithm it was realized that: The noise level was appreciative as compared with the actual signal from the vehicle. If the vehicle model is created based on true situation our estimated state will be close to the true value. Even when measurements are very noisy that is a 20% error will only produce a 5% inaccuracy. The position prediction of a vehicle on the high-way is better as the Gaussian white noise is eliminated, tracking to know the exact location via GPS coordinate will reduce the error margin. If you have a badly defined model, you will not get a good estimate. But you can relax your model by increasing your estimated error. This will let the Kalman filter rely more on the measurement values, but still allow some noise removal.
Highlights
In countries all over the world, the need for road safety to meet the growing demand of business men and women travelling on the high-ways
There are two things that should be notice about the Kalman filter when use in the continuous time variation with a varying speed: 1) The model is smoother than the noisy measurement, but there is a lag behind the actual value
The design when able to be implemented with the use of Kalman filter to filter the out the noise there will be much accuracy in the vehicle position prediction on the high-way
Summary
In countries all over the world, the need for road safety to meet the growing demand of business men and women travelling on the high-ways This has become a subject of worry for both the State Transport Cooperation (STC) and the Ghana Private Road Transport Union cooperation (GPRTUC) in Ghana. Facilitating effective security on the high-way for such people plying the high-way should be promoted by designing automations to aid in reducing incidences and eliminate unnecessary pressures placed on persons using the high-ways. This incidence could be in the form of robbery, accident, or mechanical fault on vehicles. The vehicle information can be viewed on electronic maps via the Internet or specialized software [5]
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