dc.contributor.author | Gunawardana, Ravindu | |
dc.date.accessioned | 2024-04-04T04:14:11Z | |
dc.date.available | 2024-04-04T04:14:11Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Gunawardana, Ravindu (2023) Dynamic Traffic Light Control System. BSc. Dissertation, Informatics Institute of Technology | en_US |
dc.identifier.issn | 20191193 | |
dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/1980 | |
dc.description.abstract | "Traffic congestion and delays are a worsening problem in the modern world. Existing fixed time traffic control systems have failed to satisfying results to the society. Pedestrians and emergency vehicles are the other significant parties that have been affected. Hence dynamic traffic light control systems were invented but the main disadvantage of those systems is the high cost of installation and maintenance. A dynamic traffic light controlling system which uses real time Google Maps traffic data has been proposed to solve the problem. This system also considers pedestrians and provides special features for emergency vehicles. An optimization algorithm would be used to calculate optimum traffic light time allocations. Test results have proven that the proposed system outperforms the existing fixed time traffic light control systems" | en_US |
dc.language.iso | en | en_US |
dc.subject | Google Maps API | en_US |
dc.subject | Optimizations | en_US |
dc.subject | Non-motorized Traffic | en_US |
dc.title | Dynamic Traffic Light Control System | en_US |
dc.type | Thesis | en_US |