Real-Time Motorway Network Traffic Surveillance Tool RENAISSANCE

Y. Wang (), M. Papageorgiou () and A. Messmer ()
Additional contact information
Y. Wang: Technical University of Crete, Dynamic Systems and Simulation Laboratory
M. Papageorgiou: Technical University of Crete, Dynamic Systems and Simulation Laboratory

A chapter in Traffic and Granular Flow ’03, 2005, pp 295-304 from Springer

Abstract: Summary The paper presents a real-time motorway network traffic surveillance tool called RENAISSANCE that enables traffic state estimation and short-term prediction, travel time estimation and prediction as well as queue length estimation and prediction based on a limited amount of real-time measurements. Both simulation testing and real data testing were conducted to evaluate the RENAISSANCE performances.

Keywords: motorway networks; real-time traffic surveillance; RENAISSANCE (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-28091-0_28

Ordering information: This item can be ordered from
http://www.springer.com/9783540280910

DOI: 10.1007/3-540-28091-X_28

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().