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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 6    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 6, June 2011 Edition
FIS Based Speed Scheduling System of Autonomous Railway Vehicle
Full Text(PDF, 3000)  PP.  
Aiesha Ahmad, M.Saleem Khan, Khalil Ahmed, Nida Anwar, Umer Farooq
Autonomous Railway Vehicle, Control System, Environment Monitoring, Fuzzy Inference System, Speed Scheduling, Time Scheduling.
This paper presents the design model of speed scheduling system of autonomous railway vehicle control using fuzzy inference system (FIS). Successful development of speed scheduling and maintaining system plays crucial role to make autonomous railway vehicle control system more effective under constraint of uncertain conditions. This research work emphasis to develop the speed scheduling system with capability to adjust in uncertain conditions magnificently by improving performance, stability, controllability and safety of railway vehicles and ultimately reduce the risk to meet the needs of modern trend of autonomous control system. The proposed design model is capable to successfully cope with hard conditions; junction track information (JTI), crossing gate information (CG) and track clearance (TCL), and flexible conditions; vehicle tilting (VT), track conditions (TC) and environment monitoring (EM) using fuzzy inference system with better and quicker response with human knowledge incorporation. This system will be helpful to successfully maintain the speed of railway vehicles with environment monitoring, time scheduling and minimizes the risk of overturning.
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