Publications:Towards Data Driven Method for Quantifying Performance of Truck Drivers
From ISLAB/CAISR
| Title | Towards Data Driven Method for Quantifying Performance of Truck Drivers |
|---|---|
| Author | Iulian Carpatorea and Sławomir Nowaczyk and Thorsteinn Rögnvaldsson and Marcus Elmer |
| Year | 2014 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | The SAIS Workshop 2014 Proceedings |
| Conference | 28th Annual workshop of the Swedish Artificial Intelligence Society (SAIS), Stockholm, Sweden, May 22-23, 2014 |
| DOI | |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:783585 |
| Abstract | Understanding factors that influence fuel consumption is a very important task both for the OEMs in the automotive industry and for their customers. There is a lot of knowledge already available concerning this topic, but it is poorly organized and often more anecdotal than rigorously verified. Nowadays, however, rich datasets from actual vehicle usage are available and a data-mining approach can be used to not only validate earlier hypotheses, but also to discover unexpected influencing factors.In this paper we particularly focus on analyzing how behavior of drivers affects fuel consumption. To this end we introduce a concept of “Base Value”, a number that incorporates many constant, unmeasured factors. We show our initial results on how it allows us to categorize driver’s performance more accurately than previously used methods. We present a detailed analysis of 32 trips by Volvo trucks that we have selected from a larger database. Those trips have a large overlap in the route traveled, of over 100 km, and at the same time exhibit different driver and fuel consumption characteristics. |
