From Situational Awareness to Situational Intelligence: The Digital Twin for Transit Decision-Making

A digital twin is being used to improve transit decision-making by providing real-time data and predictive analytics.

The digital twin is a virtual replica of the transit system, allowing for real-time monitoring and analysis of performance and operations.

By leveraging data from various sources, the digital twin can provide insights into passenger flow, traffic patterns, and other key metrics.

This information can be used to optimize routes, schedules, and resource allocation, ultimately improving the overall efficiency and effectiveness of the transit system.