Hybrid Job Shop Techniques for Dynamic Train Scheduling [ 2006-01-01 - 2007-12-31 ]

Research Grant

Researchers: Adjunct Professor Erhan Kozan (Chief Investigator) ,  Mr Ian Dall (Partner Investigator) ,  Mr Matthew McGown (Partner Investigator) ,  Mr Michael Clarke (Partner Investigator) ,  Mr Paul Milevskiy (Partner Investigator)

Brief description Hybrid Job Shop Techniques for Dynamic Train Scheduling. The job shop approach to dynamic train scheduling promises considerable benefits over existing approaches, and allows problems of large size and complexity to be solved with great accuracy. The application of research results in Australia has the potential to: \r\n- reduce train delays and costs by better planning of train schedules of railway systems; \r\n- reduce transport costs to rail customers and increase rail's market share of freight movements; \r\n- enhance the ability of operators to control operations in an efficient manner and minimise conflicts;\r\n- to increase efficiency of Australian Railway System, leading to lower operating and capital costs;\r\n- optimise the energy consumed.\r\n

Funding Amount $110,000

Funding Scheme Linkage Projects

View this grant in the ARC Data Portal