• Saurav Surve
• S. Nandhini
• B. Vamsi Krishna
• T. Hanu Pavan

Road transport system is an essential mode of transport system all around the world. However, it is also important to understand that majority of the transportation related accidents are caused on the roads itself, especially in nations like India where the road infrastructure has been poorly developed. Another reason for the increase in the number of road accidents can be attributed to the ’static’ conditions of the transportation system in general. With the rise in technical developments in the fields of Internet of Things(IoT) and Machine Learning(ML), the road transportation system can be improved from a static system to a dynamic system. The proposed paper aims to provide various dynamic solutions to enhance the road transportation system through smart solar street lighting systems, smart road dividers, machine learning techniques to determine potholes and bumps on the roads and elastic speed breakers. With these methods, we aim to increase the safety and ease of usage of the road transportation system, thus reducing the rate of road accidents and traffic congestion problems effectively.

Internet of things, machine learning, smart divider, pothole and bump detection, elastic speed breakers, non-Newtonian fluids.

"Smart Road Tranportation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.260-264, October-2018, Available :http://www.jetir.org/papers/JETIR1810646.pdf

"Smart Road Tranportation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp260-264, October-2018, Available at : http://www.jetir.org/papers/JETIR1810646.pdf