Overview of IoT Solutions for Sustainable Transportation Systems

Abstract

While big data analytics aids in the analysis of vast data sets, the Internet of Things is all about data, devices, and connectivity. The Internet of Things (IoT) involves attaching real world things to the Web in order to build sophisticated frameworks and offer global mobility. This is accomplished by innovative initiatives like the Smart Transportation Framework (ITS). IoT solutions greatly enable the global IoT in the creation of Intelligent Transportation Systems. Istio introduces a new era of communication based on the Internet of Things for automobiles by integrating data analytics with the storing, processing, and computation of sensor data in order to efficiently manage the Traffic system. Roads, trains, airports, and ships are automated by an Internet of Things-based intelligent transportation system (IoT-ITS) to improve how customers perceive how things are moved, tracked, and delivered. A case study of an intelligent traffic management system that is based on big data and the Internet of Things and will be used to improve traffic solutions for cities. The ITS-IoT system is made up of an eco-system of sensor, monitoring, and display systems. This case study will also discuss a few of the system's hardware and software components. There will also be a focus on how concepts like conjoint analysis, cluster analysis, multiple regression analysis, multiple discriminant analysis, logistic regression, and other big data analytics approaches may be combined with IoT and support the growth of IoT-ITS. Additionally, the case study will show some outcomes of big data analytics and how they relate to smart transportation systems. Due to the huge number of drivers of private automobiles, transportation has developed into one of the most common aspects of daily life. Additionally, this has made city traffic very difficult to navigate. This is due to the numerous negative effects of the severe congestion, such as a rise in the consumption of fossil fuels, pollution, unforeseen collisions, and lost downtime. Because technology is capable of handling a wide range of features, including organizing, monitoring, trying to identify, and informatics, it has quickly put in place an adequate and effective traffic management system, particularly for road transportation. The smart management tools that have emerged to aid in IoT-based traffic congestion reduction are highlighted in this article.