Abstract — Road accidents have been touching the alarming level due to the rapid growth of world population, life in congested city area and equally the usage of motor vehicles around the globe.According to the World Health Organization, around 1.35 billion deaths are being reported annually due to road accidents, where the most of the deaths happen in the urban areas due to poor infrastructure where the emergency evacuation services can not be carriedout appropriately. An emergency evacuation plan must have an exact route without traffic, available services from a nearby hospital, emergency services during the evacuation process, and on-time services.This study introduces an emergency services layer on top of accident avoidance layer which was proposed in our previous study.Pulse and heart rate of the human being enters the cloud via a wireless sensor network. Wireless nodes and poles are used to transfer the data to the cloud. An aggregator node collects all data and sends it to the clouds. A Data Lake acts as a cloud server, and petabytes of data from the vehicles will store in the data lake. The data lake supports all the data from websites, IoT devices and mobile applications. According to the severity of the accident, the data lake will be notified. If the case is falling minor injuries the driver will be notified to consult a doctor. If the case is major then the data lake sends notification to emergency response service to find the shortest path to reach hospital; traffic system to clear shortest path traffic route; available doctors nearby hospital to study the patient’s history and when the patient is reached, then to start the treatment; and hospital system to inform the nearest police station. The health information data is very crusial part and the health information must be protected multi security layer.When the proposed solution is implemented with our previous study’s accident avoidance layer, the complete system delivers the best protection to human lives.