Routing for the Pennsylvania Maglev system by a genetic algorithm.

Authors :: Cao, Y-Y
Lin, Z.
Giras, T. C.
Disk, D. R.
Source :: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail & Rapid Transit (Professional Engineering Publishing); Mar2006, Vol. 220 Issue 1, p55-67, 13p, 9 Diagrams, 4 Graphs
Publication Year :: 2006
Abstract: The scheduling of vehicle movement activities is an important component in highspeed railway transit operations planning process. This paper presents a mathematical programming approach to vehicle routing for the Pennsylvania Transrapid Maglev Train System. A mathematical model of the routing procedure is first derived. Based on this model, the vehicle routing problem is formulated into a constrained optimization problem, in which the train miles travelled are maximized subject to various operational and safety requirements. This large scale non-linear optimization problem is then solved by a genetic algorithm. [ABSTRACT FROM AUTHOR]

Subjects :: PRODUCTION scheduling
HIGH speed trains
GENETIC algorithms
MAGNETIC levitation vehicles
HIGH speed ground transportation
RAILROAD trains

Language :: English
ISSN :: 09544097
Volume :: 220
Issue :: 1
Database :: Supplemental Index
Journal :: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail & Rapid Transit (Professional Engineering Publishing)
Publication Type :: Academic Journal
Accession number :: 20225293
Full Text :: https://doi.org/10.1243/095440906X77928