Processing and Visualizing Floating Car Data for Human-Centered Traffic and Environment Applications: A Transdisciplinary Approach
- In the era of the Internet of Things and Big Data modern cars have become mobile electronic systems or computers on wheels. Car sensors record a multitude of car and traffic related data as well as environmental parameters outside the vehicle. The data recorded are spatio-temporal by nature (floating car data) and can thus be classified as geodata. Their geospatial potential is, however, not fully exploited so far. In this paper, we present an approach to collect, process and visualize floating car data for traffic-and environment-related applications. It is demonstrated that cartographic visualization, in particular, is as effective means to make the enormous stocks of machine-recorded data available to human perception, exploration and analysis.
| Author details: | Patrick Voland, Hartmut AscheORCiDGND |
|---|---|
| DOI: | https://doi.org/10.4018/IJAEIS.2017040103 |
| ISSN: | 1947-3192 |
| ISSN: | 1947-3206 |
| Title of parent work (English): | International journal of agricultural and environmental information systems : an official publication of the Information Resources Management Association |
| Publisher: | IGI Global |
| Place of publishing: | Hershey |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2017 |
| Publication year: | 2017 |
| Release date: | 2020/04/20 |
| Tag: | Automotive Electronics; Big Data; Geoinformation Science; Geovisualization; Process Modelling; SpatioTemporal Sensor Data |
| Volume: | 8 |
| Number of pages: | 18 |
| First page: | 32 |
| Last Page: | 49 |
| Funding institution: | German Research Foundation (DFG) [1539] |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie |
| Peer review: | Referiert |
| Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geographie |
