مليكاسادات افتخاريان

The development of fifth-generation (5G) wireless technology has opened new horizons for vehicle-to-vehicle (V2V) communication in preventing collisions. 5G networks, with their exceptional communication capacity and low latency, can provide a reliable and robust connection for real-time data processing and rapid decision-making within Intelligent Transportation Systems (ITS). A crucial aspect in this field is the development of algorithms for collision avoidance. This study highlights the potential of 5G networks in V2V communication, with a focus on their capability to enhance the safety of collision prevention applications. Implementing 5G-based inter-vehicle communication can significantly reduce road accidents, minimize injuries and fatalities, and improve overall traffic efficiency. The findings conclude that 5G-V2V communication technology, combined with artificial intelligence (AI) algorithms instead of traditional control-based collision prevention methods, presents a promising solution for avoiding vehicular collisions. This technology has the potential to play a pivotal role in improving road safety in the coming years. The objective of this study is to assess the effectiveness of AI-based algorithms in preventing vehicle collisions using 5G technology. It eva‎luates the performance of various algorithms based on key metrics and examines the influence of different factors, such as the number of training samples, communication range, and environmental conditions, on algorithm performance. Furthermore, the findings provide valuable insights for researchers and automotive industry stakeholders to design more precise and efficient vehicle collision avoidance systems. Keywords: 5G Wireless Systems – Artificial Intelligence – Connected Vehicular Networks – Collision Avoidance – Intelligent Transportation Systems (ITS)

سيستم هاي بي سيم نسل پنجم , هوش مصنوعي , شبكه هاي خودرويي متصل , جلوگيري از برخورد , شبكه حمل و نقل هوشمند

5G Wireless Systems , Artificial Intelligence , Connected Vehicular Networks , Collision Avoidance , Intelligent Transportation Systems (ITS)

Melika Sadat Eftekharian

Dr. Seyed Mohammad Razavizadeh