David Gundlegård

Orcid: 0000-0002-5961-5136

According to our database1, David Gundlegård authored at least 11 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Revealing representative day-types in transport networks using traffic data clustering.
J. Intell. Transp. Syst., September, 2024

2023
Clustering in Before-After Studies of ITS Measures.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2018
Transport Analytics Based on Cellular Network Signalling Data.
PhD thesis, 2018

2017
Trip extraction for traffic analysis using cellular network data.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

2016
Travel demand estimation and network assignment based on cellular network data.
Comput. Commun., 2016

2015
Travel Time and Point Speed Fusion Based on a Macroscopic Traffic Model and Non-linear Filtering.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Enabling reliable and secure IoT-based smart city applications.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

2013
The smartphone as enabler for road traffic information based on cellular network signalling.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
Evaluation of travel time estimation based on LWR-v and CTM-v: A case study in Stockholm.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2009
Route classification in travel time estimation based on cellular network signaling.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009


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