The Holding Problem at Multiple Holding Stations

Aichong Sun () and Mark Hickman ()
Additional contact information
Aichong Sun: Pima Association of Governments
Mark Hickman: University of Arizona

A chapter in Computer-aided Systems in Public Transport, 2008, pp 339-359 from Springer

Abstract: Abstract Inherent stochasticity within the transit operating environment suggests there may be benefits of holding vehicles at more than one holding station on a route. In this paper, the holding problem at multiple holding stations considers holding vehicles at a given subset of stations on the route. By approximating the vehicle dwell time as the passenger boarding time, the holding problem at multiple holding stations can be modeled as a convex quadratic programming problem, with the objective function as a convex quadratic function subject to many linear constraints. This particular problem can be solved by a heuristic that decomposes the overall problem into sub-problems which can be solved to optimality. Also, a hypothetical numerical example is presented to illustrate the effectiveness of the problem formulation and heuristic.

Keywords: Holding Station; Transit Service; Transportation Research Record; Multiple Vehicle; Vehicle Trajectory (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (8)

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:lnechp:978-3-540-73312-6_17

Ordering information: This item can be ordered from
http://www.springer.com/9783540733126

DOI: 10.1007/978-3-540-73312-6_17

Access Statistics for this chapter

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