posted on 2017-12-06, 00:00authored byColin ColeColin Cole, Mitchell Mcclanachan, Scott Simson, T McLeod, J Phelan
A Train cruise control system was developed using fuzzy rules to emulate the normal driver actions and judgments. The resultant train control was evaluated by using train simulation. The fuzzy rule base developed provided target power and braking levels based on assessments of grades, speed restrictions and current train speed. The control levels were further filtered using driving practice rules. The paper presents details and examples of the system in operation. The possible implementation and benefits of the system as a train advice system, or as a cruise control (non-vital control system), or as part of a vital control system are also discussed.
Funding
Category 3 - Industry and Other Research Income
History
Start Page
638
End Page
645
Number of Pages
8
Start Date
2009-01-01
ISBN-13
9787113101459
Location
Shanghai, China
Publisher
China Railway Publishing House
Place of Publication
Beijing, China
Peer Reviewed
Yes
Open Access
No
External Author Affiliations
Centre for Railway Engineering; Not affiliated to a Research Institute; QR National;