A Developed Modeling Approach to Improve the Traffic Congestion Prediction in Urban Vehicular Networks

Abstract

Vehicular Ad hoc Networks (VANETs) are a type of wireless communication network that enables vehicles to communicate with each other and with infrastructure components in their vicinity. VANETs form a dynamic and self-organizing network where vehicles act as mobile nodes, exchanging information and cooperating to improve road safety, traffic efficiency, and overall transportation experience. The VANET environment is characterized by high mobility, frequent topology changes, and dynamic network conditions. VANET can address congestion problems by predicting the occurrence of congestion based on specific parameters. The results have proven that the use of these solutions has effectively contributed to reducing congestion and reducing delay time, which leads to more efficient and sustainable urban transport systems.