Intelli city AI: An AI-Based Smart City Digital Twin and Decision Support System

DOI

No DOI

Published In

Volume 5, Issue 3 (2026)

Published Online

September-December 2026

Pages

761-764

Article Type

Original Article

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Cities generate large amounts of information about traffic, weather, air quality, locations, and public alerts. Yet residents often need to consult separate services to understand current conditions and decide how to travel. This paper presents IntelliCity AI, an AI-based smart city digital twin and decision support system designed to bring relevant city information into one interactive platform. Its primary objective is to help users explore traffic conditions and identify lower-congestion alternative routes to a selected destination. The proposed platform combines an interactive map, city and destination search, traffic-aware route information, weather and air-quality summaries, alerts, and an AI assistant. A key design principle is that live observations, forecasts, historical information, and AI-generated predictions must be clearly distinguished. The system should not invent missing readings or display simulated values as real; when a source cannot provide information for a location, it should state that the data is unavailable. The paper describes the system modules, architecture, design principles, development approach, validation plan, limitations, and future scope of IntelliCity AI.