
So far, real driving emissions knowledge involves installing Portable Emissions Measurement Systems (PEMS). As a consequence, large scale campaigns of measurement are not feasible. This paper describes an innovative coupling of Information and Communication Technology (ICT) and physical modeling to turn the driver's smartphone into a virtual sensor of pollutant emissions of his/her vehicle. It consists of using the smartphone as a vehicle speed sensor and using cloud computing to make pollutant estimation. Large scale deployment of this approach provides i) decision-makers with precise information about pollutant emissions related to choices of standards or infrastructure ii) car drivers with their real footprint.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
