A Model to Maintain Social Distance in Public Vehicles using 5G V2I and V2P Communication

A pandemic like Covid19 has shifted the paradigm of our daily life. Other than mask and sanitizer, social distancing has become another big point of concern. In this work, we have dealt with social distancing issue in public vehicles. Our aim is to allocate passengers with the vehicles in an optimal manner, maintaining the constraint of social distancing. Our solution is based on the consideration that it is a smart city which allows V2V, V2P and V2I communication in 5G environment. The vehicles and passengers communicate between themselves to perform the allocation. Using the concept of queuing theory, we have tried to model the passengers standing in the bus-stoppage and provide allocation to them based on M/M/1 model. We have also tried to conclude the rate of incoming vehicle in a route so that passengers can get allocation even after maintaining the social distance and vehicles can also get required number of passengers without the wastage of seats. We have implemented our proposed model using omnet++ and SUMO and our simulated result establishes our assumptions based on the queuing theory.