Why did a vehicle stop? A methodology for detection and classification of stops in vehicle trajectories-Reference-Cited by-同舟云学术

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Why did a vehicle stop? A methodology for detection and classification of stops in vehicle trajectories

Published:2020-03-23 Issue:10 Volume:34 Page:1953-1979
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Rehrl Karl¹^ORCID,Gröchenig Simon¹^ORCID,Kranzinger Stefan¹^ORCID

Affiliation:

1. Mobility & Transport Analytics, Salzburg Research, Salzburg, Austria

Funder

Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1740999

Reference65 articles.

1. Mining GPS data for extracting significant places

2. adabag: AnRPackage for Classification with Boosting and Bagging

3. Detection of urban traffic patterns from Floating Car Data (FCD)

4. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression

5. Using GPS to learn significant locations and predict movement across multiple users

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2. Controllable probability-limited and learning-based human-like vehicle behavior and trajectory generation for autonomous driving testing in highway scenario;Expert Systems with Applications;2023-10

3. Identification of The Survey Points from Network RTK Trajectory with Improved DBSCAN Clustering, Case Study on HNCORS;Earth Science Informatics;2023-02-14

4. Learning the micro-environment from rich trajectories in the context of mobile crowd sensing;GeoInformatica;2022-09-20

5. Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA;Transportation Research Part A: Policy and Practice;2021-12

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