I. Introduction
VANETs, which have a dynamic topology and high mobility, have drawn a lot of attention in recent years. VANETs use vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connections to gather information on traffic and vehicle status. In [1], the authors proposed a smart protocol that uses associated autonomous vehicle scenarios. During an emergency, the suggested protocol intelligently communicates with all applicable entitlements while ensuring a continuous transportation system flow for the arrival of the ambulance on accident spot. Furthermore, in emergency conditions, their protocol broadcasts the messages across the network. A taxi is a form of transportation that is frequently utilized for private trips. A taxi is a vehicle that takes passengers to and from prearranged locations. Traffic accidents, a lack of skilled drivers, a lack of coordination, and robbery in the transportation system are all problems that are currently faced with the existing taxi services. On public transportation, however, the service provider determines the pick-up and drop-off locations, not the user protection. Because tourists and drivers are so difficult, new internet booking methods are rarely successful. In order to overcome the threat of taxi crimes and to protect the safety of taxi travelers, they have implemented some new security features with tracking mechanism in case of emergency use to locate a taxi [2]. The above existing works are mostly simulation-based models but no validation or verification, automation missing, no proper mechanism to increase the efficiency of the model.