In the last few years, traffic flows are being recorded via the global positioning system over the Internet, which has yet to become ubiquitous. A novel technology for the intelligent transport system is being proposed, which will reduce the congestion that will be unavoidable in the near future. This system uses a magnetic sensor to identify the type of vehicle and the exact number of vehicles in the traffic environment based on the fluctuations in magnetic flux. This information is transmitted to the cloud server via nearby proximity services using clusters. An intelligent agent using gain learning will be implemented in the cloud server to learn real-time traffic flow from multiple sources to predict a valid and optimized route proposal for registered users. This work will be implemented and the implementation results show that the proposed work will achieve an accuracy of 98.36%. Therefore, this intelligent method for VANETs will certainly lead to improved traffic forecast for vehicle transport, it can reduce waiting times in traffic and minimize fuel consumption, and it will create an environmentally friendly environment with reduced carbon dioxide emissions in urban cities. Smart approach to communication This model describes the complete system architecture of the proposed work as shown in Fig. 1. The magnetic sensor is embedded in the vehicle and can retrieve vehicle type information from its coverage area. Such useful information is sent to the cloud server using a cluster header via Proximity Services to determine the traffic flow. Based on this information, a cloud-based agent efficiently provides an optimized route to the registered user. This section deals with clustering and the selection process for cluster head selection procedure, which aims to ensure faster and more reliable communication in a dynamic transport system. Vehicles with other wireless devices such as mobile phones, laptops and other Internet devices connect to a cluster group that is capable of transmitting the data to the cloud server. Clusters consist of a wireless network that provides Pro-Sec proximity services that ensure reliable vehicle communication with the cloud server. Among the units in the cluster, one of the devices is selected as cluster head due to its initial residual energy.