Railway Traffic Regulation Optimization: For Case of AA-LRT
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Date
2016-06
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Addis Ababa University
Abstract
The presented thesis is a study on train energy consumption calculation and optimal train driving
strategies for minimum energy consumption and travel time of train by optimizing the train
speed profile. Speed profile signifies time spent to complete the given journey and energy
consumed for that period. It is desirable to develop optimal speed profiles for the operation of the
trains on the AA-LRT network by considering both energy and time as the objectives and by
taking into account the effect of every kind of system constraint. So that maximum possible
energy savings can be made while at the same time improving network capacity.
This study is focus divided into four parts, the first parts discuss about the model for energy
consumption calculation for train and second part discussed about optimization tool used for the
study called Dynamic Programming (Background Approach) for obtaining optimal speed and
control profiles leading to minimum energy consumption. The third part is about simulating the
developed algorithm in MATLAB optimization toolbox and finally the fourth part is about traffic
controller which control traffic pattern due to disturbances like train delays.
The main achievements of this thesis are: a) the development of a model that can be used to
calculate energy consumption in trains based on the driving resistances. b) A preliminary
algorithm that returns the optimal speed profile for minimum energy consumption by
consideration the forces of rolling resistance, the acceleration force and the tractive force needed
by the train. The result obtained from simulation helps the driver to attain the required driving
performance by driving the train with the respective speed profile.
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Keywords
Optimal Control, Train Energy Consumption, Dynamic Programming (Backward Approach), Speed Profile