The vehicular ad-hoc networks (VANET) congestion control methods are utilized to minimize the traffic congestion across the busy squares or the roads. The vehicular clusters usually consist of the vehicular nodes and the road side units (RSU). The existing models based upon the traffic congestion control for VANETs have been critically studied for their drawbacks and shortcomings. Mainly, the existing models found working on the improvement of the shortcomings of the earlier congestion control schemes and worked towards removing them effectively. The effective queuing methods have been utilized for the traffic congestion control. The service queue (SQ) and control queue mechanisms have been utilized to curb the congestion problem in the VANETs. This has been observed primarily that the methods associated with the periodic updates (beacons) based method has been utilized to send the traffic on the expiry of time-interval to minimize the traffic congestion control. The multi-factor message similarity scanning has been utilized to avoid the flow of duplicate messages across the VANETs to minimize the traffic congestion. Also the Messages with hop-count 0 are also discarded to avoid the data loops to avoid congestion. For the improvement in the performance the dynamic priority tagging after determining the importance of the traffic inflows with message classification and path planning can be incorporated over the VANETs to decongest the networks in the proposed schemes. Also, the multilink traffic flow shaping based methods can be utilized to control the traffic congestion in the proposed solution.
VANETs, traffic shaping, dynamic inflow shaping, traffic peak analysis, heavy load determination.