Classification Approach to Traffic Flow Simulation
Yury V. Chekhovich () and
Nikita P. Ivkin ()
Additional contact information
Yury V. Chekhovich: Computing Center of the Russian Academy of Science
Nikita P. Ivkin: Moscow Institute of Physics and Technology (State University)
A chapter in Traffic and Granular Flow '11, 2013, pp 79-84 from Springer
Abstract:
Abstract A new approach to a microscopic traffic flow simulation is presented. The approach is based on application of data mining techniques. Key moments of constructing process are considered and main advantages in comparison with classical models are provided.
Keywords: Microscopic Traffic Flow Simulation; Classification Approach; Situation Description; Zonation Patterns; Neighbour Car (search for similar items in EconPapers)
Date: 2013
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:978-3-642-39669-4_8
Ordering information: This item can be ordered from
http://www.springer.com/9783642396694
DOI: 10.1007/978-3-642-39669-4_8
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 ().