Developing IoT Applications for Improving and Selecting Sustainability Transport Routes

In developing countries, modern society has serious problems with transportation systems. Automotive manufacturers are actively advancing vehicle technologies and applications across multiple domains, encompassing traffic management and information systems. This involves the integration of vehicles with various technologies, sensors, and surveillance cameras. Smart cities and advanced transportation systems can utilize their ability to sense and communicate. The need to integrate a wide range of technologies and application domains is a result of the diverse daily activities managed using various applications, which in turn presents new challenges. The primary goal of this manuscript is to develop an application that utilizes Dijkstra's algorithm to connect navigation applications with taxi company applications, thereby enabling users to compare companies based on their carbon emissions levels. This application allows smartphone users to schedule their requests for taxi companies' applications during peak hours of the week. This application can develop and organize public transportation and private transportation services in a way that suits users' needs. In the long run, the desired benefits of this application are a reduction in time, pollution, and fuel expenses, as well as the ability to filter results based on their preferences, such as cost, environmental impact, or travel time.