Wireless communication has become a necessity in our lives in recent times. Queuing theory is essential in designing communication protocols. One common challenge in identifying issues with wireless devices involves transferring signals from one base station to another suitable base station, especially in the context of vehicular wireless communication. To emphasize the importance of a mathematical approach in practical applications, we propose an innovative service handoff scheme that ensures seamless transitions between different service providers for Safe-as-a-Service (Safe-aaS) provisioning in road transportation. It is also crucial to recognize that a user’s request for safety services may encompass distances that overlap with the service areas of multiple Service Support Providers (SSPs). In this context, we have analyzed a real-life scenario in the city of Dehradun, Uttarakhand, India. Our study specifically focused on the necessary handoff times at six different signal tower locations across various areas. Our findings provide insights into the efficient utilization of wireless communication systems in urban settings concerning handoff requirements. To enhance the quality of service (QoS), it is essential to integrate advanced technology into the systems. We conducted a thorough comparison of our study using artificial neural networks (ANNs). To validate our system model, we employed the Levenberg–Marquardt Backpropagation training algorithm within the ANN framework.