Using real-time traffic information for transportation planning
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Author (Corporation)
Publication date
2021
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Data science and intelligent systems. Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
504-518
Patent number
Publisher / Publishing institution
Place of publication / Event location
Zlin
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Keywords
Subject (DDC)
Event
5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021)
Exhibition start date
Exhibition end date
Conference start date
01.10.2021
Conference end date
01.10.2021
Date of the last check
ISBN
978-3-030-90320-6
978-3-030-90321-3
978-3-030-90321-3
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Amiti, T., Karimi, M. A., Wüthrich, B., & Hanne, T. (2021). Using real-time traffic information for transportation planning. In R. Silhavy, P. Silhavy, & Z. Prokopova (Eds.), Data science and intelligent systems. Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2 (pp. 504–518). https://doi.org/10.1007/978-3-030-90321-3_41