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Aim of this work is to present a metaphor based multilevel interface for an Intelligent Transport System (ITS) designed to handle the transport of hazardous materials. This ITS was developed by the authors in the framework of a research project funded by Apulia Region (Italy). Starting from monitoring some parameters of a vehicle in motion such as position, speed, load balancing, stress conditions,...
This paper aims at showing how to classify driving patterns in terms of primitives such as acceleration, deceleration and turning, using neural networks. In particular a multilayer perceptron with back-propagation learning algorithm is used. The considered feature space is reduced to a very restricted couple of sensors: accelerometer and GPS receiver, which characterize many commercial low-cost inertial...
Aim of this paper is to present a method to improve the accuracy of a GPS receiver. It is well known that there are many factors affecting the accuracy of a GPS receiver. In this work, the authors point out that many of these factors, considered in a given geographic area, have a certain periodicity. An important example of this kind of factors is the sky satellite position relative to receiver. The...
GPS sentences carry the UTC time information. In the case of extended sensor grids or world wide sensor networks the UTC information appears to be very attractive but one risk is to have degraded timing accuracy imputable to much noise on the signal transmission path. Well known problems are time delays due to ionosphere, troposphere or receiver hardware specifics. The software phase instead is often...
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