Current position: Home >> Scientific Research >> Paper Publications

Optimal control of day-to-day traffic dynamics under user learning with dynamic congestion pricing

Release Time:2026-04-04  Hits:

Indexed by: Journal Papers

Document Code: 474629

Date of Publication: 2025-01-01

Journal: Intelligent Transportation Infrastructure

Volume: 4

ISSN: 2752-9991

Key Words: day-to-day dynamics; dynamic pricing; optimal control; user learning

Prev One:Revitalizing Cities: The 5R Framework Approach to Urban Retrofitting and Big Data Insights

Next One:Real-Time Adaptive Traffic Flow Prediction Based on a GE-GRU-KNN Model