DocumentCode :
233363
Title :
Rerouting of busses along EDSA using Genetic Algorithm
Author :
Yasay, Bernard G. ; Dadios, Elmer P. ; Fillone, Alexis M.
Author_Institution :
Gokongwei Coll. of Eng., De La Salle Univ., Manila, Philippines
fYear :
2014
fDate :
12-16 Nov. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduce Genetic Algorithms (GA) as an optimization tools of finding the best alternate route of busses along EDSA. The study aims to reduce the number of busses travelling across the main road of EDSA, find the best station nodes to optimize the number of passenger in every travel and when the optimum number of passenger is achieved the higher profit of the bus company will follows. The strategy of travel approach is not just to find the alternate route but also use another strategy like transferring of passenger in other bus to optimize the continues travel system and availability of buses in the area with respect to the number of passenger in a given time.
Keywords :
genetic algorithms; intelligent transportation systems; profitability; vehicle routing; EDSA; Epifanio de los Santos Avenue; GA; best alternate route; best station nodes; bus company profit; bus passenger; buses availability; busses rerouting; genetic algorithm; intelligent transportation system; optimization tools; travel approach; travel system; travelling busses; Biological cells; Educational institutions; Genetic algorithms; Information technology; Sociology; Statistics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014 International Conference on
Conference_Location :
Palawan
Print_ISBN :
978-1-4799-4021-9
Type :
conf
DOI :
10.1109/HNICEM.2014.7016186
Filename :
7016186
Link To Document :
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