Smart Traffic Control and Congestion Management Systems: A Review


Authors : Sundaram kumar, Bharat Bhushan Sharma.

Volume/Issue : Volume 4 - 2019, Issue 5 - May

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2WrlI6c

Traffic congestion has become a vital enigma in most cities across the world. Longer trip times, air pollution, frustration in drivers, noise pollution, road accidents, delay in emergency services, etc. are some major problems people are facing as a result of traffic congestion. Old-fashioned traffic lights set up in cities are unable to meet the needs of advanced cities because these traffic lights have an exact predetermined time interval from a red phase to a green phase. Such systems do not take vehicular density into consideration. Several works based on sensors, image processing, IoT, RFID, etc. have been explored a great deal to automate the traffic lights according to the density of the vehicles on the road. The work presented here highlights the state of art of all the new and emerging methods of smart traffic management and the associated challenges. Overall, the paper reviews and summarizes the various methods of traffic management systems.

Keywords : Traffic Control; Image Processing; IR Sensor; Spontaneous Synchronization; VANET; IoT; Inductive loop.

CALL FOR PAPERS


Paper Submission Last Date
29 - February - 2020

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe