SIMULATION AND EVALUATION OF AUTONOMOUS RAIL RAPID TRANSIT (ART) IN KUCHING AND KOTA SAMARAHAN BASED ON THE MULTI-AGENT APPROACH

Public transport infrastructure is one of the crucial factors that affect a country’s growth progress. By having an excellent public transport system, it forms an essential lifeline and maintains the flow of the country’s economy, especially in the urban areas. Kuching is the heartland of Sarawak an...

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Bibliographic Details
Main Author: SEAH, CHOON KAI
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2020
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Online Access:http://ir.unimas.my/id/eprint/34588/1/Seah%20Choon%20Kai%20-%2024%20pgs.pdf
http://ir.unimas.my/id/eprint/34588/7/Seah%20Choon%20Kai.pdf
http://ir.unimas.my/id/eprint/34588/
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Summary:Public transport infrastructure is one of the crucial factors that affect a country’s growth progress. By having an excellent public transport system, it forms an essential lifeline and maintains the flow of the country’s economy, especially in the urban areas. Kuching is the heartland of Sarawak and one of the most visited cities in Sarawak, and Kota Samarahan becoming popular due to numerous educational institutions, including local and overseas. Due to the growths of the population, congestion often occurs between these two main cities. Introducing advanced public transport can tackle the problem. Railway transportation played a vital role for residents in terms of mobility and convenience. On the other hand, urban rail transit is a diverse and dynamic system. Traffic is often inconsistent and contradictory. The spatial-temporal characteristics of an individual were complicated to calculate by the mathematical model due to scale and complex. A multi-agent system approach is introduced in this project, to solve the spatial - temporal of passenger flow and evaluate the effectiveness of transportation. Moreover, we will create a simulation model in AnyLogic Software and includes a multi-agent-based approach to specific characteristics of passenger travel behaviors and the interactions between travelers and trains. Therefore, the studies aim at using simulation and multi-agent system approach to solve and evaluate urban rail transit.