Abstract
Smart cities have been on the rise since the last decade. These cities can only be effective and sustainable when acquiring error-free information from multiple aspects and sources. Prone to errors and mistakes, traditional tools and observation methods require new assessment strategies to provide a clear perspective in simulation and a systematic evaluation for decision-making to be aligned with Industry 4.0. Digital Twin can offer an efficient solution to this problem under the cyber-physical system entity by creating a virtual space identical to the physical region and providing predictive information on the city's current state. Such systems offer accurate representation in a virtual environment while taking input from the real world and simulating them for future predictions. These near-identical systems are constructed at a very high cost, and the cost increases as more intricate details are added to the environment. This paper presents selective technologies that can potentially contribute to developing a low-cost intelligent environment and smarter urban management framework. It looks into the analysis of the impact of different scenarios on a public event in three dimensions that will be crucial to the decision and policymaker before a plan is approved. The proposed framework will be able to guide present and upcoming potential solutions against the administrative challenges.