Open AccessDensity based Automatic Traffic Junction Synchronization
Author(s) -
Pallavi H.B,
Aishwarya Shrikanth,
S Sandeep,
Hariprasad Sushanth S.P,
Sunil M.P
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1628.078219
Subject(s) - traffic congestion , computer science , fuel efficiency , traffic congestion reconstruction with kerner's three phase theory , synchronization (alternating current) , emergency vehicle , real time computing , metropolitan area , noise (video) , control (management) , transport engineering , traffic optimization , task (project management) , productivity , network congestion , simulation , computer network , automotive engineering , floating car data , artificial intelligence , engineering , image (mathematics) , geography , channel (broadcasting) , archaeology , systems engineering , network packet , economics , macroeconomics
Traffic congestion nowadays has become a chronic issue in the Metropolitan cities due to which it takes more time to travel than the same distance travelled during the off peak hours. This decreases the productivity of an individual by instances such as delayed delivery of services, unnecessary fuel consumption, air and noise pollution, delay in the case of emergency. The traffic congestion has become a predominant problem due to the rapid increase in the demand of vehicles. In places where junctions are closely spaced, encounter a typical issue of lingering in the same traffic signal for multiple times due to the slow moving vehicle caused by congestion. In order to control this issue, research works have been carried out in automating the traffic control system with the help of sensors, image or video processing and also by prioritizing emergency vehicles approaching the junctions. However, employing camera to monitor the traffic is an expensive task. Thus, we are proposing the Density based synchronous of junctions that are closely placed which helps us to save our commuting time significantly and thus enhancing one’s productivity