Abd Jalal, Muhammad Zulqarnain Hakim and Mohd Nawawi, Mohd Kamal and Mat Desa, Wan Laailatul Hanim and Khalid, Ruzelan and Abduljabbar, Waleed Khalid and Ramli, Razamin (2017) Green Supply Chain: Simulating Road Traffic Congestion. Journal of Physics: Conference Series, 890. pp. 1-8. ISSN 1742-6588

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Abstract

With the increasing awareness of the consumers about environmental issues, businesses, households and governments increasingly want use green products and services which lead to green supply chain. This paper discusses a simulation study of a selected road traffic system that will contribute to the air pollution if in the congestion state. Road traffic congestion (RTC) can be caused by a temporary obstruction, a permanent capacity bottleneck in the network itself, and stochastic fluctuation in demand within a particular sector of the network, leading to spillback and queue propagation. A discrete-event simulation model is developed to represent the real traffic light control (TLC) system condition during peak hours. Certain performance measures such as average waiting time and queue length were measured using the simulation model. Existing system uses pre-set cycle time to control the light changes which is fixed time cycle. In this research, we test several other combination of pre-set cycle time with the objective to find the best system. In addition, we plan to use a combination of the pre-set cycle time and a proximity sensor which have the authority to manipulate the cycle time of the lights. The sensors work in such situation when the street seems to have less occupied vehicles, obviously it may not need a normal cycle for green light, and automatically change the cycle to street where vehicle is present

Item Type:	Article
Additional Information:	ICoAIMS 2017 IOP Conf. Series: Journal of Physics: Conf. Series 890 (2017) 012111
Subjects:	Q Science > QA Mathematics
Divisions:	School of Quantitative Sciences
Depositing User:	Mdm. Sarkina Mat Saad @ Shaari
Date Deposited:	10 Jul 2024 07:42
Last Modified:	10 Jul 2024 07:42
URI:	https://repo.uum.edu.my/id/eprint/31035

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