Title of Dissertation: MODELS AND SOLUTION ALGORITHMS FOR EQUITABLE RESOURCE ALLOCATION IN AIR TRAFFIC FLOW MANAGEMENT Ming Zhong, Ph.D., 2012 Directed By: Professor Michael O. Ball Department of Decision, Operations and Information Technologies Robert H. Smith School of Business Population growth and economic development lead to increasing demand for travel and pose mobility challenges on capa...

The estimation of pedestrian traffic in urban areas is often performed with computationally intensive microscopic models that usually suffer from scalability issues large-scale footpath networks. In this study, we present a new macroscopic user equilibrium assignment problem (UE-pTAP) framework for networks while taking into account fundamental properties such as self-organization bidirectional...

The regional travel demand models are generally macroscopic in nature and do not include traffic controls in the traffic assignment process. In travel demand models, the road capacities are kept fixed within the functional classification of roadways and free-flow-speeds are adjusted to accommodate the impacts of traffic controls and traffic operations. Part of the reason this approach is adopte...

Accurate calibration of demand and supply simulators within a Dynamic Traffic Assignment (DTA) system is critical for the provision of consistent travel information and efficient traffic management. Emerging traffic surveillance devices such as Automatic Vehicle Identification (AVI) technology provide a rich source of disaggregate traffic data. This thesis presents a methodology for calibration...

Typically, the NDP objective function minimizes the total system travel time (TSTT) subject to the conservation of flow conditions and budget constraint or minimizes the TSTT plus the cost converted to equivalent time unit subject to the conservation of flow conditions. The NDP formulations can be classified according to the following four criteria: (a) system-optimal (SO) or user-optimal (UO) ...

A number of emerging dynamic traffic analysis applications, such as regional or statewide traffic assignment, require a theoretically rigorous and computationally efficient model to describe the propagation and dissipation of system congestion with bottleneck capacity constraints. An open-source light-weight dynamic traffic assignment (DTA) package, namely DTALite, has been developed to allow a...

The formulations of the user-optimal dynamic traffic assignment (UODTA)-based network design problem (NDP), signal setting design problem (SSD), and the integrated NDP and SSD problem (NDP-SSD) for the deterministic (DET), stochastic (SP) and robust (RO) optimizations are reviewed. The modifications of the simulated annealing (SA), genetic algorithm (GA) and reactive tabu search (RTS) for the n...

Advanced Traveler Information Systems (ATIS) and Advanced Traffic Management Systems (ATMS) have the potential to contribute to the solution of the traffic congestion problem. However, for these systems to be effective, the generated strategies should be proactive (i.e. based on predicted traffic conditions) as opposed to reactive, in order to avoid many undesirable effects such as overreaction...

Upper bound of efficiency loss is a valuable issue for transport network design and planning. This paper initially explores it in a taxed stochastic traffic network whose equilibrium flow pattern is deduced by a cross-nested Logit (CNL) flow assignment model, and a centrally controlling Stackelberg strategy. With the assumptions of separability, nondecreasingness, and convexity of the link time...

This paper proposed an optimization problem that determines the deployment pattern of dedicated lanes to connected autonomous vehicles (CAVs) considering stochastic traffic demand and capacity. The difference between CAVs regular human-piloted (RHVs) is driving behavior. behavior expected be more standardized than RHVs. Therefore, we assume when penetration ratio increases in lane flow, mean ca...