Traffic simulation-based dynamic origin-destination traffic demand estimation for intelligent transportation systems

Intelligent Transportation Systems (ITS) have received a great deal of attention in overcoming traffic-associated problems by implementing online traffic management, which inevitably depends on the accurate dynamic traffic demand. Dynamic Traffic Demand is a fundamental input for simulation-based Dynamic Traffic Assignment (DTA) models to describe and predict traffic conditions on the network over time and space, as well as to generate coordinated traffic control and information supply strategies for intelligent traffic network management. Dynamic Origin-Destination (OD) traffic demand matrix is recommended as perfect choice for demand, which captures spatial and temporal distribution of traffic demand in a transportation network.