With high velocity, and sparse distribution of vehicles on the road, routing a packet to its destination is one of the major challenges in Vehicular Ad Hoc Net- works (VANETs). To reduce the complexity of transmissions, only context-aware data is required for successful transfer of alerts to the passengers as unnecessary information may cause a performance bottleneck at some point in VANETs. To address this issue, in this paper, we propose a new context-aware congestion resolution protocol called as-minimum calculated desired time (MCDT) for Intelligent Data Dissemination in VANETs. In the proposed scheme, first the link stability is computed and then, a peak stable zone is constructed which is used to estimate the virtual connectivity of the nodes. A module for recovery of lost link using minimum angle method is also proposed. The proposed scheme can be used for vast industrial applications, where there is a need of contextual-aware information dissemination with less delay, and higher accuracy. The pro- posed scheme is evaluated in different network scenarios by varying the parameters such as velocity, and density of the vehicles. The results obtained yield an improvement of more than 90 % in end-to-end delay (E2ED), 11.75 % in download speed, 7 % enhanced resource utilization, and a decrease of 16 % in overhead in the proposed scheme as compared to other state-of-the-art existing schemes.