Author: Yao Cheng
Type: Master Defense
Status: Completed
Year: 2014

Download (Masters-defence-presentation-Yao-Cheng-3.1.pdf)

Author: Woon Kim
Type: PhD Defense
Status: Completed
Year: 2014

Download (defense-ver1-drchang-handout_WOON.pdf)

Author: Nan Zou
Type: MS Thesis
Status: Completed
Year: 2003
Abstract: This study presents a network simulator that integrates the knowledge base with a microscopic traffic simulation model for real-time traffic management. The proposed system offers three main functions: incident management, work-zone operations and recurrent congestion monitoring. The knowledge base is used to inventory the operational experience and traffic impacts associated with all previously recorded incidents. Such information will be used along with an embedded prediction module to estimate the duration of a detected incident.The proposed system will enable traffic control operators to perform two critical tasks
during the incident management period: (1) establishing a reliable estimate of traffic impacts; and (2) performing a subsequent real-time analysis of network traffic conditions. The simulation results will also offer information for estimating travel time at varying departure times for different origins and destinations during the period of incident operations.

Download (Thesis-Nan-Zou.pdf)

Author: Xin Zhang
Type: PhD Dissertation
Status: Completed
Year: 2012
Abstract: In most metropolitan areas, an emergency evacuation may demand a potentially large number of evacuees to use transit systems or to walk over some distance to access their passenger cars. In the process of approaching designated pick-up points for evacuation, the massive number of pedestrians often incurs tremendous burden to vehicles in the roadway network. Hence, one critical issue in a multi-modal evacuation planning is the effective coordination of the vehicle and pedestrian flows by considering their complex interactions. The purpose of this research is to develop an integrated system that is capable of generating the optimal evacuation plan and reflecting the real-world network traffic conditions caused by the conflicts of these two types of flows.The first part of this research is an integer programming model designed to optimize the control plans for massive mixed pedestrian-vehicle flows within the evacuation zone. The proposed model, integrating the pedestrian and vehicle networks, can effectively account for their potential conflicts during the evacuation. The model can generate the optimal routing strategies to guide evacuees moving toward either their pick-up locations or parking areas and can also produce a responsive plan to accommodate the massive pedestrian movements

Download (Zhang_umd_0117E_13689.pdf)