A review of key planning and scheduling in the rail industry in Europe and UK. (March 2016)

• Record Type: Journal Article
• Authors: Turner, Christopher; Tiwari, Ashutosh; Starr, Andrew; Blacktop, Kevin
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 230:Number 3(2016)
• Page Start: 984
• Page End: 998
• Publication Date: 2016-03
• Subjects: Rail planning and scheduling -- decision support systems -- semantic technologies; Railroads -- Periodicals; Personal rapid transit -- Periodicals; 625.1
• DOI: 10.1177/0954409714565654
• Languages: English
• ISSNs: 0954-4097

Abstract

Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years. Increasingly, the use of computational intelligence in such tasks is featuring more heavily in research publications. This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches. Summary tables of papers are provided relating to rail planning and scheduling activities and to the use of expert and decision systems in the rail industry.