IoT based Intelligent Traffic Management System

Traffic is the major problem in so many cities of Pakistan and there are so many countries facing the same problem now a days . the problem of the traffic is the failure of the signal lights and the bad traffic management has to lead to traffic congestion .And how it is the high time to manage the traffic congestion problem . with the various methods we can control the traffic management system and there are wireless sensor network and inductive loop detection and video data and analysis and sensors and there are many more like these etc. but there is the only problem with this that was the it occurs too much of cost and it takes so much of time and the maintenance of the system is also very high rated .

A better result in the short period of time itself to overcome from these challenges a new method raises called Radio frequency . Identification (RFID). After applying this we can except that traffic will become less and the traffic will be monitored and management.

In order to avoid the accident sand environment pollution, etc .Internet of Things  appears to be a new trend setter for intelligent traffic management due to advancement of data communication through internet, cloud utilization using various machine learning methodologies. It will reduce the traffic tensions for civilians such as vehicle drivers , elderly peoples, ambulance , and shipping services. This is the kind of intelligent traffic management system based on the IOT leads that to smart city management in the future. It includes an effective traffic information acquisition, suitable processing, analyzing various conditions and the categories of bulk traffic information in the crowded areas which takes to modern traffic management.

The direct communication between vehicles is using an Ad Hoc network is compared to as inter-vehicle communication (IVC) communication types. Vehicle-to-Vehicle communication that will allow vehicles to exchange messages between them on the road. Vehicles can communicate with infrastructure deployed alongside the roads using Vehicle-to-Infrastructure communication. Each vehicle has Onboard Unit that similar to the vehicle computer with extra features allowing the services and layers of VANET. The infrastructure is a network of Roadside Units that is installed on the roadside. The next generation of the VANET is referred as the Internet of Vehicles that will extends the functionality of VANET and inherits some many features of the Internet of Things . IOV involves Vehicle-to-Pedestrian, allowing the communication with vulnerable road users ,Vehicle-to-Sensor, on the inside of the vehicle ,Vehicle-to-Home, of the owner of the vehicle, Vehicle-to-Building, the surrounding buildings in the smart city. Vehicle-to-Grid, for electric charging, Vehicle-to-Device, for all the onboard devices, and Vehicle-to-Road signs.

After gathering all the information and main parts for the traffic signal management system here are three components: traffic lights, queue detectors buried in the road and/or cameras, and a central control system.

The implementation of the project intelligence traffic management system is the by connecting the raspberry pi 3 B+ and ir sensor an then it start working, then when we add the RGB LED to those both and the it works. And then it get started working and it gets started working as per our given instructions and if we attaches the USB camera to those and then it captures the picture of any vehicle while crossing the signal when it says to stop.

The main benefit of the project is how it work means if any one crossing the signal rashly and or going very speed or any one crossing the on the zebra lines when it is in green light then and there only the camera it will take a photograph and sends to the control room and sensors also will make one sound right there . It is very useful to keep those in and near traffic signals .

This system is really helpful for managing and controlling those areas that are very populated in terms of traffic.

The direct communication between vehicles is using an Ad Hoc network is compared to as inter-vehicle communication (IVC) communication types. Vehicle-to-Vehicle communication that will allow vehicles to exchange messages between them on the road. Vehicles can communicate with infrastructure deployed alongside the roads using Vehicle-to-Infrastructure communication. Each vehicle has Onboard Unit that similar to the vehicle computer with extra features allowing the services and layers of VANET. The infrastructure is a network of Roadside Units that is installed on the roadside. The next generation of the VANET is referred as the Internet of Vehicles that will extends the functionality of VANET and inherits some many features of the Internet of Things . IOV involves Vehicle-to-Pedestrian, allowing the communication with vulnerable road users ,Vehicle-to-Sensor, on the inside of the vehicle ,Vehicle-to-Home, of the owner of the vehicle, Vehicle-to-Building, the surrounding buildings in the smart city. Vehicle-to-Grid, for electric charging, Vehicle-to-Device, for all the onboard devices, and Vehicle-to-Road signs.

After gathering all the information and main parts for the traffic signal management system here are three components: traffic lights, queue detectors buried in the road and/or cameras, and a central control system.

The implementation of the project intelligence traffic management system is the by connecting the raspberry pi 3 B+ and ir sensor an then it start working, then when we add the RGB LED to those both and the it works. And then it get started working and it gets started working as per our given instructions and if we attaches the USB camera to those and then it captures the picture of any vehicle while crossing the signal when it says to stop.