An IP approach to toll enforcement optimization on German motorways

Ralf Borndörfer (), Guillaume Sagnol () and Elmar Swarat ()
Additional contact information
Ralf Borndörfer: Zuse Institute Berlin, Optimization
Guillaume Sagnol: Zuse Institute Berlin, Optimization
Elmar Swarat: Zuse Institute Berlin, Optimization

A chapter in Operations Research Proceedings 2011, 2012, pp 317-322 from Springer

Abstract: Abstract This paper proposes the first model for toll enforcement optimization on German motorways. The enforcement is done by mobile control teams and our goal is to produce a schedule achieving network-wide control, proportional to spatial and time-dependent traffic distributions. Our model consists of two parts. The first plans control tours using a vehicle routing approach with profits and some side constraints. The second plans feasible rosters for the control teams. Both problems can be modeled as Multi-Commodity Flow Problems. Adding additional coupling constraints produces a large-scale integrated integer programming formulation. We show that this model can be solved to optimality for real world instances associated with a control area in East Germany.

Keywords: Vehicle Route Problem; Control Path; Crew Roster; Duty Schedule; Control Tour (search for similar items in EconPapers)
Date: 2012
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:978-3-642-29210-1_51

Ordering information: This item can be ordered from
http://www.springer.com/9783642292101

DOI: 10.1007/978-3-642-29210-1_51

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 ().