Vehicle Congestion Control-Free-Sample for Students-Myassignment

Question: Using an Internet search explore an internet of thing project currently underway or already in place provide a detail account of the issue it respond to and outline its key features. Answer: Introduction Controlling and monitoring vehicle traffic is one most demanding issues faced by the road transport. The efficiency of the traffic is improved by the ITS (Intelligent Transportation System) by the help of vehicle based IoT System. In an Internet like structure network, things that are physical can be represented virtually. The physical objects of network are achieved through Internet which is implemented with exclusive identifiers and a capacity to translate data over network without demanding data entry manually (Gubbi et al., 2013). The infrastructure of IoT network along with the capability of self configuring connects different places including warehouses, logistics systems, healthcare or manufacturing facilities and energy grids. IoT offers devices and system connectivity in advance stage, and the services that are above M2M communications envelops a collection of applications, protocols and domains. This paper elaborates a new way to manage the traffic congestion and gives deta ils about the current status of the traffic. ITS is one of the biggest application of the IoT. Rapid increase in the number of vehicles leads to traffic congestion on roads. Solution with features The system of monitoring vehicle congestion is used to measure the traffic density in real time. Controlling the traffic and weather conditions are controlled by dynamic management of the signals. For an instance if a vehicle travels from a source to a destination, the driver will have to login in the application with their personal email ids and passwords and then the driver will able to get the real time traffic for the way they are travelling. If there is any heavy congestion along the shortest route, then he can take a different way to reach his destination without heavy traffic. The efficiency of the congestion on road increases in this way. The person logged in can also view the weather condition of the places he is travelling through and can also view the pollution of the area. The sensor used in this vehicle congestion application is transducer and the main purpose of this transducer is to sense the characteristic of the environment (Barfield Dingus, 2014). The changes in th e environment or change in quantities are all detected by this and corresponding solutions are given accordingly. Generally the output will be as an optical signal or in the form of electrical signal. The sensor in the system is basically a pair of photo transistor and an IR Led. It is also known as photo coupler or opto coupler. An infrared radiation is emitted through the IR LED, the intensity of the reception is also emitted by IR Led from which the photo transistor shows the output of sensor. It helps to count the number of cars and vehicle son the road crossing the signals (Mallik, 2014). The array of sensor is a group of sensors, which are expanded in certain geometric ways. It is also used to collect the acoustic signals or the electromagnetic signals. The processing of such signals is also done by the sensor array. The sensor that are used in this RFID based IoT are mainly the gas sensor or the temperature sensor. Diagram on working process of Vehicle Congestion Control of IoT Fig: Working process of Traffic Congestion Working process The above diagram shows the overall methods that occur in the system. The system is mainly divided into two modules (Chang et al., 2013). The hardware module consists of the android mobile phone, sensor, Bluetooth controller, Micro controller and the software module consists of database, data mining techniques and web server (Kshirsagar et al., 2017). The information is gathered by the micro controller and the data it receives are transferred to the android mobile through the Bluetooth. All the collected information is then send via internet to server and store the data in the database. The mining operations are all done by two algorithms- Nave Bayes and KNN algorithms. According to the density of the traffic the traffic signals are measured (Ou, Zhang Wang, 2016). The user have to login to android application when he wants to get the data regarding the real time traffic or the condition of the weather r the state of pollution in that area. The app will then send a request to the we b server for the requirement of the user (Hsu et al., 2015). The result will then send back to the user by the server and the person will be able to see the traffic data, pollution, condition of traffic and density of traffic. Advantages The advantages of the Vehicle congestion control based on IoT are It helps to detect the congestion of traffic in advance. If there is more congestion on the road, an alternative route is shown on the map. The pollution status of the area can also be detected. It helps to get the weather condition of the area. Reduces cost compared to other similar devices Disadvantages The disadvantages of using the system are as follows There should always be a high speed internet to connect to the server. System cannot get run without an android device. By chance failure of system leads to total congestion. Conclusion The need of ITS is very essential for the traffic congestion control. In this paper, the way hoe the traffic congestion and the weather conditions are controlled are described elaborately. This system consists of an android client and a server. The android device is used for displaying and reporting the traffic related conditions. It also consists of data analysis and data management and system administrators. This helps the driver in safe and easy driving. References Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions.Future generation computer systems,29(7), 1645-1660. Barfield, W., Dingus, T. A. (2014).Human factors in intelligent transportation systems. Psychology Press. Mallik, S. (2014). Intelligent Transportation System.International Journal of Civil Engineering Research,5(4), 367-372. Chang, X., Chen, B. Y., Li, Q., Cui, X., Tang, L., Liu, C. (2013). Estimating real-time traffic carbon dioxide emissions based on intelligent transportation system technologies.IEEE Transactions on Intelligent Transportation Systems,14(1), 469-479. Kshirsagar, S. P., Mantala, P. H., Parjane, G. D., Teke, K. G. (2017). Intelligent Traffic Management based on IoT.International Journal of Computer Applications,157(2). Ou, H., Zhang, J., Wang, Y. (2016). Development of Intelligent Traffic Control System based on Internet of Things and FPGA Technology in PROTEUS.traffic,20, 2. Hsu, C. Y., Yang, C. S., Yu, L. C., Lin, C. F., Yao, H. H., Chen, D. Y., ... Chang, P. C. (2015). Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system.International Journal of Production Economics,164, 454-461.