Energy-consumption in ground transportation systems is a major cause of CO2 emissions and related environmental concerns. A relevant part of such an energy use can be saved by devising systems that can help promoting an economical driving style. To address this challenging issue, this paper presents a method and system that allow providing a quantitative description the driving style and illustrating it to the driver by means of realtime visual feedback. The driving style assessment is based on the definition of appropriate energy-oriented cost functions that can be evaluated based on inertial measurements only, thereby providing a vehicle-independent methodology. The effectiveness of the approach, and the savings enabled by the interaction with the driver are assessed with an experimental campaign carried out on urban and extra-urban routes by different drivers.

Vehicle sharing in urban areas has the potential to be the answer to some of the main issues that hinder the spreading of electric vehicles, in particular for what concerns the high upfront costs of the vehicles, combined with their still limited range, which can induce phenomena such as range anxiety.\ud For its potential to be realized, vehicle sharing must be tailored to the multiform needs of its users by offering a wide range of support services that can be selected based on the user preferences.\ud In this paper we present the platform for vehicle sharing developed in the Green Move project, which allows services to be dynamically loaded and unloaded on vehicles, and describe a pair of prototype applications to illustrate its benefits

In this paper, a method to characterize and automatically recognize the most common driving scenarios in on-road experiments is presented. The aim of the proposed approach is to build a suitable simulator to develop and test Advanced Driver Assistance Systems (ADAS's). Therefore, unlike most of the existing algorithms, the whole procedure takes advantage of the intrinsic off-line nature of the problem. Context-free grammars are shown to be an effective and suitable tool for modeling the driving scenarios, while experimental results are used to validate the proposed approach and show limits and potential of a real-world application

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I. INTRODUCTIOND ESIGNING effective personal mobility solutions for large indoor environments such as expositions, airports, hospitals, and warehouses is a challenging task. Standard automated systems such as treadmills, escalators, and elevators force the users to follow prearranged paths, whereas the current aim is that of devising new solutions that provide free movement in all directions. In this context, new vehicles have been proposed by major automotive companies: the well-known Segway [1]; the Honda U3-X, a unicycle with a foldable seat and footrests that is driven by the users' weight balance; and the Toyota Winglet, which has two wheels but no handlebars, so that it must constantly monitor the user's position to actively ensure stability. It is worth noting that an important requirement that must be met to fulfill the needs of the staff working in indoor environments is to provide vehicles that can be driven while leaving the rider's hands free to carry out activities efficiently. As a result, the most recent proposals have focused on the development of small-size vehicles that do not require the use of handlebars. As mentioned, the U3-X unicycle developed by Honda and the Manuscript