Thesis (M.S.)--University of Alabama at Birmingham, 2008. / Description based on contents viewed May 30, 2008; title from title screen. Includes bibliographical references (p. 74-79).

Report (M.S.)--Virginia Polytechnic Institute and State University. M.S. 1992. / Vita. Abstract. Bibliographical references included. Also available via the Internet.

Thesis (Ph.D.)--George Mason University, 2008. / Vita: p. 199. Thesis director: Roger Stough. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Public Policy. Title from PDF t.p. (viewed Mar. 16. 2009). Includes bibliographical references (p. 182-198). Also issued in print.

Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Guensler, Randall; Committee Member: Rodgers, Michael; Committee Member: Ross, Catherine. Part of the SMARTech Electronic Thesis and Dissertation Collection.

The purpose of this study is to evaluate potential travel time impacts of the implementation of exclusive heavy-vehicle lanes on the Interstate Highway 35 (IH 35) corridor, in the Austin metropolitan area. The analysis considers heavy vehicles (trucks) and non-heavy vehicles (cars) as separate system elements and as an integrated system. The study modeled traffic operations on IH 35, during the AM and PM peak hours, under two traffic scenarios, Existing and Inside Truck-Only Lanes using the software VISSIM 5.4. The limits of the study are FM 1431 in Round Rock, on the north, and SH 45 near Buda, on the south. The Existing scenario modeled traffic operations under current IH 35 geometric conditions and traffic control rules, in which trucks are prohibited from the inside lane and cars are allowed in all lanes. The Inside Truck-Only Lanes scenario modeled traffic operations under the assumption that trucks are restricted to the inside lane only and cars are prohibited from the inside lane. Travel times across the study area corridor were measured in the models to compare the performance of the Inside Truck-Only Lanes scenario relative to the Existing scenario. / text

Thesis (Ph.D.)--University of Texas at Arlington, 2009.

Thesis (M.S. in Civil and Environmental Engineering)--University of California, Davis, 2007. / Text document in PDF format. Title from PDF title page (viewed on August 28, 2009). "Received by ITS-Davis: November 2007"--Publication detail webpage. Includes bibliographical references (p. 110-115).

Thesis (M. S.)--City and Regional Planning, Georgia Institute of Technology, 2009. / Committee Member: Amekudzi, Adjo; Committee Member: Guensler, Randall; Committee Member: Ross, Catherine.

A before and after comparison of vehicle occupancy distributions for the Atlanta, GA I-85 HOV to High Occupancy Toll (HOT) lane conversion scheduled for summer 2011, will assess the changes in vehicle and passenger throughput associated with lane conversion. The field deployment plans and data collection methodologies developed for the HOT evaluation were the result of a comprehensive literature review, an examination of previous data collection methods, an evaluation of the physical characteristics of the I-85 corridor, and the testing of a variety of equipment/manpower strategies. The case study in this thesis evaluates the established vehicle occupancy methodology for consistency across multiple observers during parallel data collection efforts. The differences noted in exact matches and consistency across the use of the "uncertain" values developed for field implementation is specifically assessed. Results from this study are the first step in assessing the validity of the data collection methods used on the HOT corridor and will yield recommendations for improving the methodology for future occupancy studies. A separate assessment of the accuracy of the methodology is also being conducted by the research team and will be published under a separate cover.

The conversion of high-occupancy vehicle (HOV) lanes to high-occupancy toll (HOT) lanes is currently being implemented in metro Atlanta on a demonstration basis and is under consideration for more widespread adoption throughout the metro region. Further conversion of HOV lanes to HOT lanes is a major policy decision that depends on knowledge of the likely impacts, including the equity of the new HOT lane. Rather than estimating these impacts using modeling or surveys, this study collects revealed preference data in the form of observed vehicle license plate data and vehicle occupancy data from users of the HOV corridor. Building on a methodology created in Spring 2011, researchers created a new methodology for matching license plate data to vehicle occupancy data that required extensive post-processing of the data. The new methodology also presented an opportunity to take an in-depth look at errors in both occupancy and license plate data (in terms of data collection efforts, processing, and the vehicle registration database). Characteristics of individual vehicles were determined from vehicle registration records associated with the license plate data collected during AM and PM peak periods immediately prior to the HOV lanes conversion to HOT lanes. More than 70,000 individual vehicle license plates were collected for analysis, and over 3,500 records are matched to occupancy values. Analysis of these data have shown that government and commercial vehicle were more prevalent in the HOV lane, while hybrid and alternative fuel vehicles were much less common in either lane than expected. Vehicle occupancy data from the first four quarters of data collection were used to create the distribution of occupancy on the HOV and general purpose lane, and then the matched occupancy and license plate data were examined. A sensitivity analysis of the occupancy data established that the current use of uncertain occupancy values is acceptable and that bus and vanpool occupancy should be considered when determining the average occupancy of all vehicles on the HOV lane. Using a bootstrap analysis, vehicle values were compared to vehicle occupancy values and the results found that there is no correlation between vehicle value and vehicle occupancy. A conclusions section suggests possible impacts of the findings on policy decisions as Georgia considers expanding the HOT network. Further research using these data, and additional data that will be collected after the HOT lane opens, will include emissions modeling and a study of changes in vehicle characteristics associated with the HOT lane conversion.