Document Details

Document Type : Thesis 
Document Title :
Road Traffic Event Prediction using AI and Big Data
التنبؤ بأحداث حركة المرور باستخدام الذكاء الاصطناعي و البيانات الكبيرة
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Deep learning is revolutionizing smart cities and societies, solving many longstanding problems. Transportation is continuing to cause unbelievable damages including 1.25 million deaths and trillions of dollars annually. This thesis has developed and investigated deep learning techniques for the detection and tracking of vehicles on roads. None of the earlier works have developed similar works or have applied these deep learning models to road traffic in the Kingdom of Saudi Arabia (KSA). We have used three different variations of the deep learning models and compared their performance; a pre-trained model with the COCO dataset, and two custom-trained models with the Berkeley DeepDrive dataset and our custom-developed dataset obtained by a Dash Cam installed onboard vehicle driven on KSA roads in five different traffic conditions; city traffic in day and night, highway traffic in day and night, and traffic in the rain. The results have been evaluated using precision and other metrics. The pre-trained model was unable to deliver consistently good performance across all five scenarios both in terms of precision and tracking success rate. The results of the custom trained models are comparable to the Pre-Trained model. The results show that pre-trained models cannot work in KSA environments without retraining due to the differences in the language, driving culture, driving environments, and vehicle models. Conclusions are drawn with directions for future work. 
Supervisor : Prof. Rashid Mehmood 
Thesis Type : Master Thesis 
Publishing Year : 1442 AH
2021 AD 
Co-Supervisor : Dr. Aiiad Albeshri 
Added Date : Monday, September 20, 2021 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
أنوار محمد الشريفAlshareef, Anwaar MohammedResearcherMaster 

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