Bengaluru is launching an AI-driven “Mobility Digital Twin” (MDT) costing around ₹1 crore to better predict and manage traffic in the city. What’s unique: this model doesn’t assume drivers behave perfectly (as many models do); it simulates real human driving behavior, incorporating data from signals, ride-aggregators, vehicles, etc. The MDT will be used by traffic authorities to test infrastructure changes like new flyovers before they are built.
Why it matters: Many road design changes in Indian cities have had unintended consequences because simulations failed to capture how people actually drive (unexpected lane changes, rule violations, etc.). This tool promises to reduce those miscalculations, possibly saving money, reducing congestion, and improving safety. It’s a strong example of how smart city tech + AI can address real-world urban challenges.
