Abstract—In recent years in Italy the progress of the automobile industry, in the field of reduction of emissions values, is very remarkable. Nevertheless their evaluation and reduction is a key problem, especially in the cities, that account for more than 50% of world population. In this paper we dealt with the problem of describing a quantitatively approach for the reconstruction of GPS coordinates and altitude, in the context of correlation study between driving cycles / emission / geographical location, during an experimental campaign realized with some instrumented cars. Keywords—Air pollution, Driving cycles, GPS signal. I. INTRODUCTION HE evaluation of the emission produced by vehicles in correspondence of determined traffic situation in a specific road with specified traffic management rules is generally carried out by multiplying emission factors per vehicle activity, obviously considering different vehicle types. The problem is thus, in principle, defined when the following information is available: • Road characteristics (number of lanes, type of pavements, crossing…) • Traffic management rules (traffic lights, parking, speed limits..) • Vehicle composition (fleet composition, vehicle age distribution,…) and activity. • Vehicle flow and density, congestion level of road. In recent years we are seeing positive results, but on a national scale are still far from achieving this goal. In the case of Italy, factors that are yet contributing negatively to this situation are so different. To obtain the emission factors consolidated methods make reference to vehicle mean velocity, which can be easily obtained by vehicle flow and density in the road. In this framework a new statistical approach has been proposed capable to consider more attributes than the simple speed to characterize driving behavior, not only in the determination of driving cycles but also in the emission modeling. In Naples many research programs have been carried out on this subject, whose aim was to determine driving behavior and emission trends. Preliminary results show that if we consider a specific road driving behavior changes and so driving cycles of different Livia Della Ragione is with the Istituto Motori National Research Council, Napoli, 80125 Italy (phone: 39-081-7177175; fax: 39-081-2396097; e-mail: l.dellaragione@im.cnr.it). Giovanni Meccariello is with the Istituto Motori National Research Council, Napoli, 80125 Italy (phone: 39-081-7177114; fax: 39-081-2396097; e-mail: g.meccariello@im.cnr.it). characteristics always occur. In this context, it could be interesting to suggest paths based not only on the minimum distance, but on the minimization of fuel consumption as a function of the geomorphological features of the territory. For this purpose, the activities will be aimed at integrating automatically, the commercial digital maps with geomorphological data relating to the real three-dimensional pattern of the road network. During the development of a research project, an experimental campaign is realized and some results relative to tests performed on road with a Fiat Panda Bipower, (CNG and gasoline powered), and a New Panda Twin Air with auto Start & Stop system, are compared. Gaseous emissions are measured with Portable Emission Measurement Systems (PEMS) on two different urban routes, in terms of traffic and slope characteristics during in use experiments. The aim of this paper is to synthesize some considerations about the problem of GPS signal reconstruction, especially for altimetry coordinate, to better analyze and to outline the behavior of low environmental impact vehicles in city traffic situations and in a precise location. Also it could be desirable to perform a quantitative analysis of altimetry to evaluate the slope variability during a path, so this variable can contribute to correlate kinematic behavior with emissions. II. BACKGROUND AND MOTIVATION In a general approach for the determination of emission factors, developed in our research groups and present in literature and in European research projects, two distinct flows could be considered and evaluated. One is relative to the development and updating of the emission factors. In this aspect, on road tests have to be performed in different geographical areas to collect experimental data on driving behavior relative to different street networks, traffic conditions and specific features of each geographical areas, with vehicles of different segment and technology. On road data have to be analyzed by statistical methods to determine typical and statistically representative groups of driving cycles and engine (with related accessories) operating conditions. So far, emission modeling is based on measurements performed with vehicles on dynamometer chassis performing driving cycles statically representative of the behavior, considering and simulating engine operating conditions. Applying regression techniques to pollutant data, emission models can be obtained to determine functions relating these data with relevant characteristics of driving cycles, which produce higher and statistically significant effects on environment. In this way, from the experimental L. Della Ragione, G. Meccariello GPS Signal Correction to Improve Vehicle Location during Experimental Campaign T World Academy of Science, Engineering and Technology International Journal of Energy and Power Engineering Vol:8, No:7, 2014 514 International Scholarly and Scientific Research & Innovation 8(7) 2014 scholar.waset.org/1307-6892/9999224 International Science Index, Energy and Power Engineering Vol:8, No:7, 2014 waset.org/Publication/9999224