A Methodology for the Design of IoT-Based Intelligent Vehicular Management Systems in Smart Cities

Abstract

The Internet of Things (IoT), a solely original computer paradigm, first appeared years ago. Its significance is demonstrated by the way it links the physical and digital worlds to achieve a significant benefit. The IoT is a network of internet-connected devices that enables widespread connections and interactions with other embedded devices, services, and people. With the growing need for smart services in smart cities, this paper focuses on the development of intelligent vehicular management systems in these cities. Here, the devices used in IoT have embedded systems that take the data from the environment. The data is transferred through a wireless network and a gateway to a carrier network. All the data will be stored at Application Enablement Platforms (AEP) which seem like web servers. The data is analyzed through big data analytics platforms. Finally, the devices and gateway remote management platforms distribute the new versions and upgrades to all devices. The primary parameters for determining road conditions include traffic flow rates, air quality, meteorological characteristics, and signal status as indicated by the received signal intensity for both road and intra-vehicular settings. Bluetooth Low Energy (BLE) beacons and mobile applications are employed for smart parking and navigation system, public transportation system, traffic size monitoring, and health-related issues for passengers.