Actual-time modeling of a subway vehicle and optimal driving management with GA and ABC algorithms
Joint Authors
Cam, Ertugrul
Arikan, Yagmur
Sen, Tolga
Source
Journal of Engineering Research
Issue
Vol. 10, Issue 4 Aِ (31 Dec. 2022), pp.204-218, 15 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-12-31
Country of Publication
Kuwait
No. of Pages
15
Main Subjects
Abstract EN
The optimization of operations of subway systems has critical importance in terms of energy efficiency and costs.
Therefore, driving management of subway vehicles has been gaining more importance day by day.
Optimal Driving Management (ODM) is the optimization of the velocity trajectory of a subway vehicle by considering operating conditions and travel time.
In this study, the driving of a subway vehicle has been modeled dynamically with all parameters that affect driving.
So, a realistic model has been prepared.
Then, a new objective function has been proposed to reduce energy consumption by using the subway vehicle’s acceleration and braking forces parameters for ODM.
The Artificial Bee Colony algorithm (ABC) and Genetic algorithm (GA) have been used on the prepared model to determine the driving dynamics of the subway vehicle.
The performance of the algorithms has been evaluated in the real line network, which has multiple stations with different characteristics.
The energy consumption has been reduced by 10.47% in GA and 8.92% in ABC compared to the actual driving values.
Moreover, the results of the study have been analyzed in terms of passenger comfort, cost, and emission values.
American Psychological Association (APA)
Arikan, Yagmur& Sen, Tolga& Cam, Ertugrul. 2022. Actual-time modeling of a subway vehicle and optimal driving management with GA and ABC algorithms. Journal of Engineering Research،Vol. 10, no. 4 Aِ, pp.204-218.
https://search.emarefa.net/detail/BIM-1494572
Modern Language Association (MLA)
Arikan, Yagmur…[et al.]. Actual-time modeling of a subway vehicle and optimal driving management with GA and ABC algorithms. Journal of Engineering Research Vol. 10, no. 4 A (Dec. 2022), pp.204-218.
https://search.emarefa.net/detail/BIM-1494572
American Medical Association (AMA)
Arikan, Yagmur& Sen, Tolga& Cam, Ertugrul. Actual-time modeling of a subway vehicle and optimal driving management with GA and ABC algorithms. Journal of Engineering Research. 2022. Vol. 10, no. 4 Aِ, pp.204-218.
https://search.emarefa.net/detail/BIM-1494572
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 217-218
Record ID
BIM-1494572