• Vishal Bandgar
• Shruti Mahashikare
• Sana Bagwan
• Abhishek Gaware
• M.E. Sanap

Traffic obstruct is one of the huge issues in India and it is especially common in the metropolitan cities. Packed roads and traffic jams can result in a dreadful situation. Some of these mainstream traffic problems include- Poor road quality due to excessive traffic. The extreme congestion of urban roads due to heavily used private vehicles leads to the degradation of the quality of the roads. This leads to traffic problems most of the times. The sheer magnitude of traffic problems also gives rise to other health problems. In today's scenario the traditional approach works efficiently only if the count is sparse, as the density of vehicles on a particular side of road increases or if the traffic is comparatively larger on one side than other side in such case the approach fails. So, in the proposed solution the switching time of signal will be decided based on real time data with good accuracy in dense traffic. This solution can prove its most effectiveness in releasing the congested traffic at an efficient and faster rate by controlling the signal using HERE Maps API.

Traffic control, traffic clog, congestion, API, traffic signal algorithm, machine learning.

"Traffic Signal Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.482-485, April-2021, Available :http://www.jetir.org/papers/JETIR2104068.pdf

"Traffic Signal Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp482-485, April-2021, Available at : http://www.jetir.org/papers/JETIR2104068.pdf