Summary on the effect of density, diversity and pedestrian infrastructure on the use of rail-based urban public transport

simultaneous acquisition of kinematic variables, localization and emissions data have been used.Some results relative to kinematic data analysis are presented.An aspect under investigation is the fact that nowadays cars have a strong individual behaviour in the emission production, thus driving cycles must be as more representative of real use as possible.Resulting global driving cycles built for Path A and for Path B, however, are specific of different kinematic conditions and summarizes information related to road/driver/traffic conditions more frequently experienced in real use.Following this approach, the identified global cycles could have different kinematic characteristics in terms of average speeds, length and distance traveled, idling time, running time, distributions of gear use and acceleration/deceleration. Results regarding this activity obviously are a preliminary indication but also a strong starting point for reflection on the real representation of the cycles currently used for type approval, fuel consumption and emissions evaluation.Moreover, they could be useful to both policy makers and vehicle manufacturers in developing future emission policy/technology strategies.