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The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung

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Title Statement The Prediction of Optimal Route of City Transportation Based on Passenger Occupancy using Genetic Algorithm: A Case Study in The City of Bandung
 
Added Entry - Uncontrolled Name Prasetiyowati, Sri Suryani; Telkom University
Sibaroni, Yuliant; Telkom University
Prabangkara, Derwin; Telkom University
School of Computing, Telkom University
 
Uncontrolled Index Term optimal route; genetic algorithm; occupancy; kriging;
 
Summary, etc. <p>Currently, the existence of city transport is increasingly eliminated by private vehicles such as cars and motorcycles. This situation is further exacerbated by the behavior of city transport drivers who are less discipline in driving, or in picking up and dropping off their passengers. The bad behavior is partly caused by the low level of passenger occupancy. The drivers try to search for passengers as much as possible but often ignore the traffic rules. To overcome this problem, an optimal transport route with high passenger potential is required. Therefore, this study investigated the optimal route of city transport based on the passenger occupancy rate in the city of Bandung as the case study. The method employed for determining the optimal route is Genetic algorithm combined with Ordinary Kriging method used for the process of passenger prediction and fitness calculation. The optimal routes are those with higher occupancy rate. The analysis results showed that the use of the Genetic algorithm with a low number of generations succeed in creating new optimal routes even though the increase is not too high the maximum only reaches 4%.This result is certainly important enough to be used in making better public transport routes.</p>
 
Publication, Distribution, Etc. Universitas Ahmad Dahlan
2018-06-01 00:00:00
 
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http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/7077
 
Data Source Entry TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 16, No 3: June 2018
 
Language Note en
 
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