Existing signal system lacks the technology to handle the traffic in efficient way Authors mentioned in [2] Using IoT they have proposed a system that use of different sensors which can be deployed on the roadside for collecting data regarding congestion which will be further processed by the micro controller situated on the traffic signal higher priority for emergency vehicles like Ambulance such that the lane that contains emergency vehicle would go first until emergency vehicle passes. A hybrid approach in [3] is used to optimize traffic flow on roads and an algorithm is devised to manage various traffic situations efficiently. The authors create a system that uses data from cameras and sensors to calculate traffic density and then adjusts traffic signals. During a traffic jam, the authors employed an algorithm based on Artificial Intelligence to forecast future traffic density and to decrease traffic congestion. They also utilized RFID to prioritize emergency vehicles such as ambulances and fire trucks. The authors also considered what would happen if there was a fire on the road, and how they would handle it. Smoke sensors were employed as part of the system to identify this circumstance. The efficiency of the suggested traffic management system has been shown by the authors using a prototype that not only optimizes traffic flow but also connects adjacent rescue departments to a centralized server.

The existing traffic prediction methods mostly dedicated to highway and urban traffic management, and limited studies focused on collector roads and closed campuses Authors said in [4] where they have proposed an IoT based system model to collect, process, and store real-time traffic data for such a scenario. The system’s main purpose was to increase mobility by providing real-time traffic updates on traffic congestion and odd traffic events via roadside messaging devices. The suggested technology might send out early warning signals to citizens, allowing them to save time, especially during peak hours. The device also transmits updates from the administrative authorities on traffic. With a Context of Bangladesh in [5] proposed a real-time traffic management system (TMS) using the Internet of Things (IoT) and data analytics. Ultrasonic sensors were used to detect traffic density, and after analyzing the sensor data, the system controller controlled the traffic signal timing using a traffic management algorithm, as well as sending data to a cloud server via a Wi-Fi module. As the authors pointed out, if an emergency vehicle is recognized, the proposed system offers priority, i.e. long signal duration, to pass through the intersection. If a car violates a traffic light, the system can identify it and issue a fine, which is paid through the Traffic Wallet smartphone app. This proposed system is low-cost, easy-to-install, and simple-to-maintain.

Vehicles of past year’s technology was not more developed compared with today’s technology as SAE has described in vehicle’s levels, where a digital revolution in the 21st century is in form of connected and autonomous vehicle (vehicle to everything, which includes vehicle-to-vehicle, vehicle-to-infrastructure, vehicle-to-network, vehicle-to-cloud, vehicle-to-device and vehicle-to-pedestrian), and we are living in such kind of digital because of integration of Internet of Things (IoT) components have been applied into vehicles day to day as shown in Figure 2. They become part of a network. Vehicles can communicate with each other, with the surrounding infrastructure and with other drivers. Gradually the technologies of IoT in vehicles assisted driving (steering, acceleration and brake support) which help to decrease different problems in transportation [6]. As the technology in vehicle increase as the transportation issues decrease the international Society of Automotive Engineers (SAE) helped to describe the technology in vehicles using levels on Figure 3.

The Internet of Things (IoT) is transforming our lives at a breakneck rate. Environmental monitoring and transportation networks are two areas where the Internet of Things finds use. This is particularly true in the automotive industry, which is home to some of the most significant inventions [9]. Here are some of the biggest ways the IoT is transforming the automotive industry and our roads [10]:

➢ The way people drive

➢ Reduce pollution and energy

➢ Improving road safety

➢ Solve traffic congestion in cities

➢ Expenditure

➢ Lead to better roads

➢ Environment applications

➢ Mobility applications

As shown in Figure 4, an intelligent traffic management system based on IoT can be divided into three groups. This refers to a range of tools such as traffic engineering principles, software, hardware, and communication technologies that can be applied to the transportation system in an integrated manner to enhance its efficiency and safety. Table 1 discusses various methods of traffic and vehicle monitoring and control several techniques and methods are based on internet of things (IoT) approaches, as seen in Figure 5. For future Enhancement in Intelligent Transportation Management system Table 2 gives the inclusive outlook of few recent research articles in the intelligent traffic management system based on internet of things (IoT).