The project topic is "A driver testing simulator to generate reports on the behavior of the driver in drunk and non-drunk state and to check the driving performance and to store all the data in cloud"...

LITERATURE REVIEW
This paper suggests a theoretical methodology to monitor drunk-driving in real-time by suing Vehicular Ad-hoc Networks (VANETs) and cloud computing. VANET technology makes use of On-Board Units and Road-Side Units [(OBUs) and (RSUs) respectively] for real-time communication. OBUs are itinerant sensory nodes employed in a vehicle which collect data like information obtained by breath sensor, meter reader and GPS from the vehicle and wirelessly communicate it to RSUs. RSUs are fixed nodes employed on sides of roads to ensure connection of OBUs with the internet; RSUs obtain this data from OBUs and if the information received crosses the allowed limit (of alcohol consumption or speeding), transmit it to both cloud-based server and Traffic Office Checkpoints (TOCs) using internet. Two warning messages will be sent to drivers, if still ignored, traffic officers will book the vehicle.[endnoteRef:1] [1:
REFERENCES
Isong, Bassey & Khutsoane, Oratile & Dladlu, Nosipho, Real-time Monitoring and Detection of Drinkdriving and Vehicle Over-speeding, International Journal of Image, Graphics and Signal Processing, 2017, 9,1-9, 10.5815/ijigsp.2017.11.01.]
When a driver is driving under the influence of alcohol, he has been observed to display a patterned behavior from which indications can be drawn in order to detect and ascertain drunk driving (Al-Sultan et al, 2013).[endnoteRef:2] The research used real world Vehicle Test Data (VTD) and simulated this situation and compare the responses of driver...