An Intelligent Transportation System Application using Mobile Edge Computing

Abstract

Using Edge Computing approaches is a way to improve the Intelligent Transportation Systems (ITS) applications in smart cities. This article proposes a case study of an ITS system with a Mobile Edge Computing (MEC) architecture using the platform for time-sensitive ITS applications. The platform aims to support ITS applications with strict requirements for latency and requests loss. We evaluated an ITS application in three different scenarios: in the cloud using a 4G connection, in the cloud using broadband, and in MEC. We compare scenarios using quantitative metrics such as requests per second, average response time, and request loss rate. The experimental results indicate that MEC has a lower loss of requests and it can work with a greater number of requests per second, which makes it a good solution for ITS applications.