Mobility2.0 is an ITS project aiming at developing and testing an in-vehicle commuting assistant for FEV mobility, resulting in more reliable and energy-efficient electro-mobility. In order to achieve a maximum impact, Mobility2.0 takes an integrated approach of addressing the main bottlenecks of urban FEV mobility: 'range anxiety' related to the limited FEV range, scarcity of parking spaces with public recharging spots and the congestion of urban roads. Our integrated approach means that the application developed by Mobility2.0 will utilize co-operative systems, through communication with transport/traffic city control systems and interaction with the charging infrastructure, to simultaneously consider these bottlenecks, so that such an optimization can be achieved which still guarantees reliable transportation for each FEV owner. The Mobility 2.0 envisioned application acts as a service platform that helps drivers to plan their trip and simultaneously manage the charge of their FEV through their personal nomadic device. This can be achieved by using real time information about the FEV parameters (e.g. vehicle dynamics and energy stored in the batteries), combined with external parameters (e.g. conditions of road traffic, public transport schedules, state of the grid) and learned driver profiles in order to both determine the range autonomy accurately but also provide a multi- modal commute trip recommendation to the FEV user. This paper provides an overview of the project's main objectives and the methodology to be used to achieve them.
|Number of pages||10|
|Publication status||Published - Nov 2013|