<p>Random selection of candidate path leads toward high traffic density of data in vehicular network. Hence, OpenFlowData, a flexible QoS path selection technique for Software-Defined Vehicular Networks (SDVNs) with a binary goal of improving overall network performance and giving Software-Defined Networking (SDN) controller’s access to per-OpenFlow data, is proposed. The objective of the proposed scheme is to select the QoS path and OpenFlow rule deployment in the vehicular network to enhance the flow of data in the network. The suggested scheme has three phases: (i) discovering an optimized QoS forwarding path among the numerous path, (ii) consolidating the OpenFlow rules, and (iii) OpenFlow rule placement in the QoS path for varying network traffic in the SDN switches of the vehicular network. Here, the QoS path is discovered by forming a weight-based multi-objective function followed by consolidating the OpenFlow rule using a key-based mechanism to avoid overflow problem at the switches of vehicular network. To place the consolidated OpenFlow rule in the network, we suggest a rule placement technique based on QoS path detection of OpenFlow rule congestion. Extensive simulation results show that, compared to ReWiFlow, ExactMatch, and Random, the proposed technique, OpenFlowData, can improve network performance by giving per-OpenFlow rule information to the SDN controller. In particular, compared to the ReWiFlow, ExactMatch, and Random methods, OpenFlowData may reduce time delay and QoS violation by 48, 77, and 82%, respectively, while simultaneously providing the SDN controller with 87% accurate per-OpenFlow data.</p>