Title of Dissertation: DYNAMIC ORIGIN-DESTINATION DEMAND ESTIMATION AND PREDICTION FOR OFF-LINE AND ON-LINE DYNAMIC TRAFFIC ASSIGNMENT OPERATION Xuesong Zhou, Ph.D., 2004 Dissertation Directed By: Professor Hani S. Mahmassani, Department of Civil and Environmental Engineering Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic Assignment (DTA) mo...

Super host refers to the that has a high cardinality or exhibits big change in network. Facing big-volume network traffic, sketches have been widely applied identify super hosts an efficient and accurate way. However, most cannot flexibly balance memory usage accuracy estimation. Setting inappropriate counter size for sketch could either lead inaccurate estimation cause waste. In order solve th...

This paper thoroughly discusses the essential issues remaining in mobile phone technologies which impede the realization of mobile phone based traffic state estimation systems (M-TESs). Concretely, the inherent issues in mobile phone based applications, namely low and uncertain penetration rate issues, which affect the M-TES’s effectiveness, are resolved. A unique GA-based velocity-density esti...

Globalization has resulted in increases air transportation demand and passenger traffic. With the traffic, airports face challenges related to infrastructure, services, future development. Air traffic forecasting is essential ensuring appropriate investment airports. In this study, we combined fuzzy theory with support vector regression (SVR) develop a SVR (FSVR) model for international airport...

For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting estimation of O-D matrix and a set of traffic counts. In the era of the Intelligent Transportation Systems, a dynamic estimation of traffic demand has become a crucial issue. Different Dynamic Traffic Assignment (DTA) models have been proposed, used also for O-D matrices estimation. This paper pres...

There are various means of monitoring traffic situations on roads. Due to the rise artificial intelligence (AI) based image processing technology, there is a growing interest in developing systems using camera vision data. This study provides method for deriving information installed at an intersection improve system The uses deep-learning-based approach (YOLOv4) vehicle detection and type clas...