Mô Phỏng Quản Lý Giao Thông

Smart city traffic: AI conquers congestion! Intelligent Transportation Systems (ITS): (1) Adaptive traffic signals (adjust timing real-time based vehicle density, wait times, emergency vehicles priority), (2) IoT sensors (inductive loops detect vehicles, cameras computer vision count/classify, Bluetooth/WiFi track travel times), (3) Predictive modeling (ML forecast congestion patterns rush hours, events, weather), (4) Incident management (auto-detect accidents camera analysis, dispatch response, reroute traffic), (5) Public transit integration (signal priority buses, real-time passenger info). Technologies: AI optimization (genetic algorithms, reinforcement learning find optimal signal timing save 15-30% travel time!), Digital twin (simulate traffic network test strategies before deploy), V2X communication (Vehicle-to-Everything: cars talk infrastructure upcoming green lights, hazards).

Real systems: Los Angeles ATSAC (4500 signals coordinated), Singapore GLIDE (dynamic pricing toll roads demand-based), Barcelona Sentilo (IoT platform track everything). Challenges: (1) Legacy infrastructure (old signals not networked, upgrade $100K-500K per intersection!), (2) Data silos (police, transit, parking systems don't share!), (3) Complexity (millions variables, unpredictable human behavior), (4) Privacy (cameras track movements civil liberties concerns). Vietnam context: Hanoi/HCMC epic congestion (motorcycles 80%+ vehicles unique challenge cars!), narrow roads colonial layouts, limited public transit.

Solutions attempted: flyovers, metros (slow progress), smart signal pilots (mixed results implementation). Metrics: Level of Service (LOS A-F grade traffic flow), average speed, intersection delay. Future: autonomous vehicles communicate coordinate (no traffic lights?!), mobility-as-a-service (reduce private cars), predictive maintenance (potholes sensors!).

Optimize urban mobility quality of life!