This project aims to develop a GIS-based vehicle navigation and congestion pricing system that incorporates present and future travel time forecast with uncertainty measure to create adaptive and intelligent strategies for optimal vehicle navigation (e.g., fastest, shortest, cheapest, most reliable, least carbon emission) as well as congestion pricing strategies for maximizing entire transportation network efficiency.