This paper is published in Volume-4, Issue-3, 2018
Area
Networking
Author
Rupinder Pal Singh, Dr. Naveen Dhillon, Manit Kapoor
Org/Univ
Ramgarhia Institute of Engineering and Technology, Phagwara, Punjab, India
Pub. Date
28 June, 2018
Paper ID
V4I3-2009
Publisher
Keywords
Smart contention management, Contention window control, Vehicular network, Traffic management.

Citationsacebook

IEEE
Rupinder Pal Singh, Dr. Naveen Dhillon, Manit Kapoor. Smart contention management for the urban traffic management of multidirectional vehicular network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rupinder Pal Singh, Dr. Naveen Dhillon, Manit Kapoor (2018). Smart contention management for the urban traffic management of multidirectional vehicular network. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Rupinder Pal Singh, Dr. Naveen Dhillon, Manit Kapoor. "Smart contention management for the urban traffic management of multidirectional vehicular network." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

The congestion is rapidly rising across the globe because a larger number of vehicles are adding to the urban traffic every year. The rising numbers of vehicles are elevating traffic problems in the cities, which is causing the slower speeds of vehicular movements across the city roads. In this paper, the proposed model is designed to ease the urban traffic by using the smart traffic management, which is primarily based upon the contention management. The contention management is the model to determine the balanced time slots for the smoother movement of the vehicles across the squares (or light points). The dynamic time slot allocation for the particular direction is entirely based upon the vehicle density assessment mechanism, which provides the information to the time slot allocation algorithm for contention management across the city. This paper evaluates the vehicles moving on the average speed between 1 and 9 KMPH, which imitates the busiest roads of the metro cities and pushes the effort to clear as many as possible vehicles in the lowest possible time using the smart contention mechanism.