EconPapers    
Economics at your fingertips  
 

On Finding Subpaths With High Demand

Stephan Schwartz (), Leonardo Balestrieri and Ralf Borndörfer ()
Additional contact information
Stephan Schwartz: Zuse Institute Berlin
Leonardo Balestrieri: Zuse Institute Berlin
Ralf Borndörfer: Zuse Institute Berlin

A chapter in Operations Research Proceedings 2017, 2018, pp 355-360 from Springer

Abstract: Abstract We study the problem of finding subpaths with high demand in a given network that is traversed by several users. The demand of a subpath is the number of users who completely cover this subpath during their trip. Especially with large instances, an efficient algorithm for computing all subpaths’ demands is necessary. We introduce a path-graph to prevent multiple generations of the same subpath and give a recursive approach to compute the demands of all subpaths. Our runtime analysis shows, that the presented approach compares very well against the theoretical minimum runtime.

Keywords: Recursive Approach; User Trajectories; Mining Frequent Substructures; Longest Subpath; Problem-specific Construction (search for similar items in EconPapers)
Date: 2018
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:oprchp:978-3-319-89920-6_48

Ordering information: This item can be ordered from
http://www.springer.com/9783319899206

DOI: 10.1007/978-3-319-89920-6_48

Access Statistics for this chapter

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

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-319-89920-6_48