DYNAMIC MODELING TRAFFIC FLOW INTENSITY IN THE DESTINATION PROBLEM

Dynamic Hybrid Traffic Flow Modeling

SimulationEngine MultiCoreCPUSimulationEngine GPGPUSimulationEngine Figure 5: Simulation engines in SIMILAR 2.6 Probes The observation of the data of the simulation is managed using probes. Probes are objects listening to the evolution of the state of the simulation. Since the state of the simulation is not always consistent (especially during the computation of the reaction), the probes do not...

Dynamic Origin - Destination Demand Flow Estimation under Congested Traffic Conditions

This paper presents a single-level nonlinear optimization model to estimate dynamic origindestination (OD) demand. A path flow-based optimization model, which incorporates heterogeneous sources of traffic measurements and does not require explicit dynamic link-path incidences, is developed to minimize (i) the deviation between observed and estimated traffic states and (ii) the deviation between...

The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach

We address the problem of determining how to reroute aircraft in the air traffic control system when faced with dynamically changing weather conditions. The overall objective of this problem is the minimization of delay costs. This problem is of primary concern in the European air traffic control system and in particular regions within the US air traffic control system. We present an integrated...

Efficient Algorithms for the Cell Based Single Destination System Optimal Dynamic Traffic Assignment Problem

The cell transmission model (CTM) based single destination system optimal dynamic traffic assignment (SD-SO-DTA) model has been widely applied to situations such as mass evacuations on a transportation network. Although formulated as a linear programming (LP) model, embedded multi-period cell network representation yields an extremely large model for real-size networks. As a result, most of the...

Dynamic Origin-Destination Demand Flow Estimation Utilizing Heterogeneous data sources under Congested Traffic Conditions