Big data in ITS: Concept, case studies, opportunities, and challenges
Title
Big data in ITS: Concept, case studies, opportunities, and challenges
Subject
Big data
Information management
Intelligent systems
Intelligent vehicle highway systems
Monitoring
Real time systems
Description
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time. This requires the prompt processing of a variety of data sources that is consistently changing with time and typically challenging to combine (and make sense of) in real time. This paper presents thoroughly the studies related to big data applications in ITS and its associated challenges. 2018 IEEE.
3189-3194
8
20
Creator
Moharm, Karim I.
Zidane, Eslam F.
El-Mahdy, Mostafa M.
El-Tantawy, Samah
Publisher
IEEE Transactions on Intelligent Transportation Systems
Date
2019
Type
journalArticle
Identifier
15249050
10.1109/TITS.2018.2868852
URL
http://dx.doi.org/10.1109/TITS.2018.2868852
Citation
Moharm, Karim I. et al., “Big data in ITS: Concept, case studies, opportunities, and challenges,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28129.