Name
Abstract | ||
|---|---|---|
This paper proposes an approach that makes logical knowledge-based decisions, to determine the transportation mode a person is using in real-time. The focus is set to the detection of different public transportation modes. Hereby it is analyzed how additional contextual information can be used to improve the decision making process. The methodology implemented is capable to differentiate between different modes of transportation including walking, driving by car, taking the bus, tram and suburbain trains. The implemented knowledge-based system is based on the idea of Keypoints, which provide contextual information about the environment. The proposed algorithm reached an accuracy of about 95﾿%, which outclasses other methodologies in detecting the different public transportation modes a person is currently using. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-27926-8_5 | MOD |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olga Birth | 1 | 0 | 1.01 |
| Aaron Frueh | 2 | 0 | 0.34 |
| Johann H. Schlichter | 3 | 113 | 16.73 |