Abstract

 Emergency vehicles play an important role in saving lives and protecting property during emergencies. They are specially designed and equipped to provide rapid response and immediate assistance in emergency situations, such as fires, accidents, and medical emergencies. The importance of emergency vehicles lies in their ability to respond quickly and efficiently to emergencies. Their specialized equipment and highly trained staff can provide critical care and support to those in need. Emergency vehicles can transport patients to hospitals, rescue people from dangerous situations, and provide on-site medical treatment to injured people. Moreover, emergency vehicles also play an important role in managing disasters and emergencies that affect societies, such as natural disasters and terrorist attacks. They help evacuate people from dangerous areas, provide search and rescue operations, and deliver essential supplies and equipment to affected areas. In this research, a proposed model to solve the emergency vehicle congestion problem was discussed and linked as quickly as possible through adaptive traffic lights with the help of the RSU, and the ambulance was taken as an example for applying the proposed model. The results showed that the model is effective in reducing congestion significantly for emergency vehicles, which leads to reducing the time it takes for emergency vehicles to reach their destination, thus saving people's lives. This approach is adaptive and can adapt to changing traffic conditions in the future, making it suitable for different traffic scenarios.