EconPapers    
Economics at your fingertips  
 

Scaling and Rounding Periodic Event Scheduling Instances to Different Period Times

Enrico Bortoletto () and Niels Lindner ()
Additional contact information
Enrico Bortoletto: Zuse Institute Berlin
Niels Lindner: Zuse Institute Berlin

Chapter Chapter 51 in Operations Research Proceedings 2023, 2025, pp 397-402 from Springer

Abstract: Abstract The Periodic Event Scheduling Problem (PESP) is a notoriously hard combinatorial optimization problem, essential for the design of periodic timetables in public transportation. The coefficients of the integer variables in the standard mixed integer linear programming formulations of PESP are the period time, e.g., 60 for a horizon of one hour with a resolution of one minute. In many application scenarios, lines with different frequencies have to be scheduled, leading to period times with many divisors. It then seems natural to consider derived instances, where the period time is a divisor of the original one, thereby smaller, and bounds are scaled and rounded accordingly. To this end, we identify two rounding schemes: wide and tight. We then discuss the approximation performance of both strategies, in theory and practice.

Keywords: Timetabling; Mixed-integer programming; Public transport (search for similar items in EconPapers)
Date: 2025
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:lnopch:978-3-031-58405-3_51

Ordering information: This item can be ordered from
http://www.springer.com/9783031584053

DOI: 10.1007/978-3-031-58405-3_51

Access Statistics for this chapter

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

 
Page updated 2025-07-27
Handle: RePEc:spr:lnopch:978-3-031-58405-3_51