Comprehensive strategies to alleviate traffic congestion
Big data empowerment for traffic congestion management
Problem-oriented refined and intelligent governance
The Comprehensive Urban Traffic Management Solution targets the widespread issue of traffic congestion in cities across China. It emphasizes the analysis of problem causes, investment in traffic engineering, and evaluation models, with big data empowerment throughout the governance process. The "1+7+N" business architecture is adopted to implement comprehensive urban traffic congestion management. This includes 1 city-wide traffic optimization intelligent application platform, 7 major governance methods such as road network structure assessment and governance, traffic organization assessment and governance, traffic engineering assessment and governance, parking management assessment and governance, slow traffic assessment and governance, public transportation assessment and governance, and technological infrastructure assessment and transformation; N refers to multiple urban traffic management scenarios including hospitals, schools, business districts, industrial parks, and transportation hubs. This solution effectively alleviates traffic congestion, improves traffic capacity, and makes travel more convenient, smooth, and safe for the public.
"Pre-governance" data diagnosis to identify causes; "During governance" comprehensive strategies to form norms; "Post-governance" data evaluation to consolidate effects. This approach fully empowers big data in urban traffic congestion management, achieving the organic combination of "refined governance" and "intelligent governance."
Adopting the governance approach of "planning guidance, government leadership, traffic police as the main force, departmental coordination, and multi-measure implementation," combined with government-enterprise cooperation and joint management, focusing on the practical problems of traffic congestion, and implementing refined traffic governance through multiple measures.