Journal of Information Systems Engineering and Business Intelligence
Vol. 7 No. 2 (2021): October

Scenario Model to Mitigate Traffic Congestion and Improve Commuting Time Efficiency

Shabrina Luthfiani Khanza (Department of Information Systems, Institut Teknologi Sepuluh Nopember)
Erma Suryani (Department of Information Systems, Institut Teknologi Sepuluh Nopember)
Rully Agus Hendrawan (Department of Information Systems, Institut Teknologi Sepuluh Nopember)



Article Info

Publish Date
28 Oct 2021

Abstract

Background: Commuting time is highly influenced by traffic congestion. System dynamics simulation can help identify the cause of traffic problems to improve travel time efficiency.Objective: This study aims to reduce traffic congestion and minimise commuting time efficiency using system dynamics simulation and scenarios. The developed scenarios implement the Bus Rapid Transit (BRT) and trams projects in the model.Methods: System dynamics simulation is used to analyse the transport system in Surabaya and the impact of BRT and trams project implementation in the model in order to improve commuting time and to reduce congestion.Results: From the simulation results, with the implementation of BRT and tram projects along with highway expansion, traffic congestion is predicted to decline by 24-44%.  With the reduction of traffic congestion, travel time efficiency is predicted to improve by 11-28%. On the contrary, implementation of BRT and tram project without highway expansion is predicted to increase the traffic congestion by 5% in the initial year of implementation, then traffic congestion is predicted to decline by 2% in 2035.Conclusion: Based on the scenarios, transport project implementation such as BRT and trams should be accompanied with improvement of infrastructure. Further research is needed to develop a more comprehensive transportation system to capture a broader view of the problem. Keywords: Model, Simulation, System Dynamics, Traffic Congestion, Travel Time 

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Journal Info

Abbrev

JISEBI

Publisher

Subject

Computer Science & IT

Description

Jurnal ini menerima makalah ilmiah dengan fokus pada Rekayasa Sistem Informasi ( Information System Engineering) dan Sistem Bisnis Cerdas (Business Intelligence) Rekayasa Sistem Informasi ( Information System Engineering) adalah Pendekatan multidisiplin terhadap aktifitas yang berkaitan dengan ...