Issue |
E3S Web Conf.
Volume 471, 2024
XIV International Conference on Transport Infrastructure: Territory Development and Sustainability (TITDS-XIV-2023)
|
|
---|---|---|
Article Number | 04020 | |
Number of page(s) | 5 | |
Section | Information Technologies, Transportation Science and Technology Synergy | |
DOI | https://doi.org/10.1051/e3sconf/202447104020 | |
Published online | 04 January 2024 |
Direct geocoding of street intersections in text message analysis tasks
Department of Computer Science and Engineering, Saint Petersburg Electrotechnical University ”LETI”, Saint Petersburg, 197022, Russia
* Corresponding author: yabekeneva@etu.ru
Discussing various kinds of events on social networks is an integral part of everyday life. Users often publish and discuss information about traffic accidents, emergencies, utility accidents, and situations that do not require emergency intervention. Such information can be used to identify situations of a certain type, for example, to create statistics or timely involve certain services to eliminate emergency situations. The paper proposes a way to solve the problem associated with geocoding intersections when processing and analyzing text messages.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.