Pesamino, Bernadette and Karawalevu, Marika and Pillay, Vineshwar and Assaf, Mansour and Sharma, Bibhya N. and Kumar, Sandeep A. and Prasad, Avinesh and Chand, Vishal (2020) Mathematics and ICT bring new intelligent traffic light control system. International Journal of Control Systems and Robotics, 5 . pp. 41-51. ISSN 2367-8917
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Abstract
As road networks in urban areas become increasingly complex and complicated when accommodating for the fast-growing numbers and diversity of vehicles and infrastructure, researchers have a tremendous interest in designing intelligent and robust traffic light control systems to manage traffic. Traditional traffic light control (TLC) systems operate on a fixed time basis, whereby each stream of traffic is allocated a fixed amount of time for vehicles to move through the intersection. This system's main drawback is that it does not account for actual traffic densities, leading to longer waiting times and higher fuel consumption. With the emergence and proliferation of digital technologies in the 21st century, humans have begun to use technology in every facet of their daily lives, including getting help in performing dull, dirty, and dangerous tasks that can be automated and repetitive. This paper combines ICT and mathematics to design a new robust system for traffic light control. A novel Intelligent Traffic Light Control System (ITLCS) model is proposed to accommodate the immediate number of vehicles and pedestrians' presence at the intersections. The system has been implemented in selected software for testing and validation, and the analytics are highlighted. The arterial aim is to show the importance of mathematics, which can produce a robust and intelligent system that can achieve a better traffic flow at varying traffic densities when combined with ICT.
Item Type: | Journal Article |
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Subjects: | Q Science > QA Mathematics T Technology > T Technology (General) |
Divisions: | School of Information Technology, Engineering, Mathematics and Physics (STEMP) |
Depositing User: | Ms Shalni Sanjana |
Date Deposited: | 08 Feb 2022 02:55 |
Last Modified: | 08 Feb 2022 02:55 |
URI: | https://repository.usp.ac.fj/id/eprint/13223 |
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