dc.identifier.uri |
http://dx.doi.org/10.15488/11009 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/11091 |
|
dc.contributor.author |
Golze, Jens
|
|
dc.contributor.author |
Zourlidou, Stefania
|
|
dc.contributor.author |
Sester, Monika
|
|
dc.date.accessioned |
2021-05-25T11:49:23Z |
|
dc.date.available |
2021-05-25T11:49:23Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Golze, J.; Zourlidou, S.; Sester, M.: Traffic Regulator Detection Using GPS Trajectories. In: KN - Journal of Cartography and Geographic Information 70 (2020), S. 95-105. DOI: https://doi.org/10.1007/s42489-020-00048-x |
|
dc.description.abstract |
This paper explores the idea of enriching maps with features predicted from GPS trajectories. More specifically, it proposes a method of classifying street intersections according to traffic regulators (traffic light, yield/priority-sign and right-of-way rule). Intersections are regulated locations and the observable movement of vehicles is affected by the underlying traffic rules. Movement patterns such as stop events or start-and-stop sequences are commonly observed at those locations due to traffic regulations. In this work, we test the idea of detecting traffic regulators by learning them in a supervised way from features derived from GPS trajectories. We explore and assess different settings of the feature vector being used to train a classifier that categorizes the intersections based on traffic regulators; also, we test several experimental setups. The results show that a Random Forest classifier with oversampling and Bagging booster enabled can predict the intersection regulators with 90.4% accuracy. We discuss future research directions and recommend next steps for improving the results of this research. © 2020, The Author(s). |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Berlin : Springer |
|
dc.relation.ispartofseries |
KN - Journal of Cartography and Geographic Information 70 (2020) |
|
dc.rights |
CC BY 4.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
|
dc.subject |
GPS trajectories |
eng |
dc.subject |
Intersection classification |
eng |
dc.subject |
Random forest |
eng |
dc.subject |
Traffic regulator detection |
eng |
dc.subject.ddc |
550 | Geowissenschaften
|
ger |
dc.subject.ddc |
910 | Geografie, Reisen
|
ger |
dc.title |
Traffic Regulator Detection Using GPS Trajectories |
|
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.essn |
2524-4965 |
|
dc.relation.issn |
2524-4957 |
|
dc.relation.doi |
https://doi.org/10.1007/s42489-020-00048-x |
|
dc.bibliographicCitation.volume |
70 |
|
dc.bibliographicCitation.firstPage |
95 |
|
dc.bibliographicCitation.lastPage |
105 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|