Activities per year
Abstract
Data collection on motorways for traffic management operations is traditionally based on local measurement points and camera monitoring systems. This work looks into social media as an additional data source for the Austrian motorway operator ASFINAG. A system called Driver's Dashboard was developed collecting incident descriptions from Facebook and RSS feeds, filtering relevant messages, and fusing them with traffic data. All collected texts were analysed for concepts describing road situations linking the texts from the web and social media with traffic messages and traffic data. Driver's Dashboard was designed to examine the potential of social media for traffic monitoring with respect to Austrian characteristics in social media use and road transportation with only very few messages available compared with other studies. Of 3586 messages collected within a five-week period, only 7.1% were automatically annotated as traffic relevant. Furthermore, the traffic relevant messages for the motorway operator were analysed more in detail to identify correlations between message text and traffic data characteristics. A correlation between message text and traffic data was found in nine of 11 messages by comparing the speed profiles and traffic state data with the message text.
Original language | English |
---|---|
Pages (from-to) | 1116-1122 |
Journal | IET Intelligent Transport Systems |
Volume | 12 |
Issue number | 9 |
DOIs | |
Publication status | Published - 2018 |
Fields of Expertise
- Sustainable Systems
Fingerprint
Dive into the research topics of 'Driver's dashboard – using social media data as additional information for motorway operators'. Together they form a unique fingerprint.Activities
- 1 Talk at conference or symposium
-
Driver's dashboard – using social media data as additional information for motorway operators
Robert Neuhold (Speaker)
20 Sep 2018Activity: Talk or presentation › Talk at conference or symposium › Science to science