Cloud assisted Internet of things intelligent transportation system and the traffic control system in the smart city

TLDR

Smart cities struggle with massive traffic problems, and effective traffic control systems—often automated and cost‑effective—are a key challenge. The study proposes a cloud‑assisted IoT Intelligent Transportation System (CIoT‑ITS) to address traffic management challenges. The CIoT‑ITS deploys IoT sensor‑integrated cameras at traffic signal corners to capture vehicle flow, sends optimized data to the cloud where an algorithm determines traffic direction and controls signal lights, and alerts the nearest traffic control room during congestion. Simulation results show that CIoT‑ITS can automatically monitor and manage vehicle flow and outperforms conventional methods according to optimization metrics.

Abstract

Presently, most smart cities face massive traffic issues every day. The smart cities' significant challenge is the traffic control system, wherein some places are automated and cost-effective. In this manuscript, cloud-assisted Internet of things Intelligent Transportation System (CIoT-ITS) is proposed to overcome traffic management's challenges. Here, the IoT sensor integrated camera is installed in every traffic signal corner to monitor the vehicle's flow. Further, the optimised vehicle flow data is sent to the cloud processes. The data from the various signal corners runs an algorithm to detect traffic direction and controls the signal lights. The alert notification is sent to the nearest traffic control room during traffic congestion using IoT sensors. Simulation analysis proved that the proposed CIoT-ITS could monitor and manage the vehicle flow successfully and automatically. The proposed system has been validated based on the optimisation parameter, which outperforms conventional methods.