Efficient Origin-Destination Estimation Using Microscopic Traffic Simulation with Restricted Rerouting

Traffic simulators are utilized to solve a variety of traffic-related problems. For such simulators, origin-destination (OD) traffic volumes as mobility demands required input, and we need estimate them. The authors regard an OD estimation bi-level programming problem, apply microscopic simulation model it. However, the trials can be computationally expensive if full dynamic rerouting is allowed, when employing multi-agent-based models in process. This paper proposes efficient method using simulator with restricted reduce computational load. Even though, case large demand, restriction on result heavier congestion. resolve this problem by introducing constraints depending link Test results show that accuracy volume reproduced proposed virtually identical existing methods but more wide-range or high-demand context.