Floating car data and fuzzy logic for classifying congestion indexes in the city of Shanghai
- In this paper, we use Floating Car Data from the city of Shanghai and Fuzzy Inference model to detect congestion indexes throughout the city. We aim to investigate to which extent traffic congestion is severe during afternoon rush hour. Additionally, we compare our results to the ones obtained by calculating congestion indexes on conventional way. Although we do not argue that our model is the best measure of congestion, it does allow the mechanism to combine different measures and to incorporate the uncertainty in the individual measures so that the compound picture of congestion can be reproduced.
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| Author: | Maja KalinicGND, Jukka M. KrispORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-671320 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/67132 |
| ISSN: | 2570-2092OPAC |
| Parent Title (English): | Proceedings of the ICA |
| Publisher: | Copernicus GmbH |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2019 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2020/02/13 |
| Volume: | 2 |
| First Page: | 57 |
| DOI: | https://doi.org/10.5194/ica-proc-2-57-2019 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Geographie | |
| Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Angewandte Geoinformatik | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten |
| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |
