License: 
Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.34
URN: urn:nbn:de:0030-drops-189299
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18929/
Gao, Chukun
Simulating and Validating the Traffic of Blackwall Tunnel Using TfL Jam Cam Data and Simulation of Urban Mobility (SUMO) (Short Paper)
Abstract
Blackwall Tunnel is one of the most congested roadways in London. By simulating the tunnel and the connecting roads, information can be obtained about the traffic conditions and bottlenecks. In this paper, a model will be created using the Simulation of Urban Mobility (SUMO) tool and traffic flow data gathered from Transport for London (TfL) traffic cameras. The result from the simulation will be compared to the journey time data of Blackwall Tunnel in order to determine the accuracy of simulation.
BibTeX - Entry
@InProceedings{gao:LIPIcs.GIScience.2023.34,
author = {Gao, Chukun},
title = {{Simulating and Validating the Traffic of Blackwall Tunnel Using TfL Jam Cam Data and Simulation of Urban Mobility (SUMO)}},
booktitle = {12th International Conference on Geographic Information Science (GIScience 2023)},
pages = {34:1--34:8},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-288-4},
ISSN = {1868-8969},
year = {2023},
volume = {277},
editor = {Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/18929},
URN = {urn:nbn:de:0030-drops-189299},
doi = {10.4230/LIPIcs.GIScience.2023.34},
annote = {Keywords: Traffic simulation, Validation, SUMO, Blackwall Tunnel}
}
