Vehicular Ad Hoc Networks (VANETs) have emerged as a critical technological advancement to address challenges in road safety and traffic management. Despite their potential, VANETs face persistent issues related to scalability, mobility, and network heterogeneity, particularly in urban environments. This research emphasizes the key applications of VANETs in traffic control and accident prevention. Utilizing tools such as OMNeT++, SUMO integrated with OpenStreetMap (OSM), the study simulates realistic vehicular scenarios to evaluate and enhance routing protocols, including AODV, DSR, OLSR, and DSDV. The primary focus is to improve data dissemination, ensuring that safety–critical messages, such as accident alerts and hazard warnings, are effectively communicated. By refining VANET simulations and optimizing routing protocols, this work aims to provide robust solutions for safer and more efficient traffic systems.

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Smart Traffic and Safety Revolution: Optimizing VANETs with Geographic Routing and Real-Time Solutions

  • Yaswanth Kancharla,
  • Rishi Manikanta Adapala,
  • Baba Ameer Shaik,
  • S. Thangam,
  • J. Jesy Janet Kumari

摘要

Vehicular Ad Hoc Networks (VANETs) have emerged as a critical technological advancement to address challenges in road safety and traffic management. Despite their potential, VANETs face persistent issues related to scalability, mobility, and network heterogeneity, particularly in urban environments. This research emphasizes the key applications of VANETs in traffic control and accident prevention. Utilizing tools such as OMNeT++, SUMO integrated with OpenStreetMap (OSM), the study simulates realistic vehicular scenarios to evaluate and enhance routing protocols, including AODV, DSR, OLSR, and DSDV. The primary focus is to improve data dissemination, ensuring that safety–critical messages, such as accident alerts and hazard warnings, are effectively communicated. By refining VANET simulations and optimizing routing protocols, this work aims to provide robust solutions for safer and more efficient traffic systems.