Impact of Intelligent Networking on Vehicles Exiting at Urban Intersections

This chapter delves into the transformative impact of intelligent networking on vehicles exiting urban intersections, particularly within the context of 5G technology. It begins by highlighting the evolution of intelligent connected cars and the limitations posed by previous network technologies. The text then focuses on traffic flow prediction, leveraging advanced methods such as Deep Learning and Support Vector Regression to analyze and predict traffic patterns. The author also discusses the potential for remote control of vehicles in a 5G environment, emphasizing the safety and efficiency benefits. Additionally, the chapter explores the possibility of eliminating traditional traffic light systems through intelligent control, aiming to maximize traffic efficiency and reduce congestion. The research is supported by detailed simulations and models, providing a comprehensive analysis of how intelligent networking can revolutionize urban transportation.