Road Traffic Prioritization using Image Processing

Brighton C. Berejena, Fungayi D. Mukoko

Abstract: One of the problems that has affected most cities in recent years is the massive increase in number of vehicles, which leads to traffic congestion. Such a problem puts huge stress on various systems for decision making and infrastructure planning of many metropolitan areas. On top of this congestion complexity, there are motor vehicles that should be given first priority when approaching an intersection. These vehicles include the ambulances, VIP motorcades, fire-fighter trucks, police vans etc. Therefore, traffic control becomes the main concern for different systems to overcome this challenge as associated phenomena of the continuous growth of population and vehicles over inadequate road infrastructures and the need to give first preferences to certain types of motor vehicles. In this research, I assume each traffic signal alongside the road has multiple high resolution cameras to capture images of vehicles that are approaching and send the real-time images to a cloud-based High Processing Computer (H. P. C. ) for image classification and providing a rating score for each of the intersecting roads.

Keywords: Intelligent traffic light, Machine Learning, image detection, Motor Vehicle Classification, Traffic Management

How to Cite?: Brighton C. Berejena, Fungayi D. Mukoko, "Road Traffic Prioritization using Image Processing", Volume 12 Issue 6, June 2023, International Journal of Science and Research (IJSR), Pages: 694-699, https://www.ijsr.net/getabstract.php?paperid=SR221129111355, DOI: https://dx.doi.org/10.21275/SR221129111355