Thesis (Ph.D.) -- University of Melbourne, Dept. of Geomatics, 2005. / Typescript. Includes bibliographical references (p. 233-248).

Thesis (Ed. D.)--Indiana University of Pennsylvania. / Includes bibliographical references.

Thesis (M.S.)--Florida State University, 2004. / Advisor: Dr. Renatus Mussa, Florida State University, College of Engineering, Dept. of Civil Engineering. Title and description from dissertation home page (Jan. 13, 2005). Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1937. / Typescript. Includes abstract and vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 251-260).

Thesis (Ph. D.)--University of Chicago, Graduate School of Business, August 2002. / Includes bibliographical references. Also available on the Internet.

Thesis (M.A.)--Georgia State University, 2006. / Title from thesis t.p. Glen T. Eskew, committee chair; C.M. Kuhn, committee member. Electronic text (166 p.) : digital, PDF file. Description based on contents viewed July 26, 2007. Includes bibliographical references (p. 159-166).

Master of Science / Department of Civil Engineering / Eric J. Fitzsimmons / Transportation officials continuously seek to prevent and reduce wrong-way crashes on interstate highways in the United States. These crashes typically have a high probability of head-on vehicle crashes, resulting in fatalities or serious injuries due to excessive vehicle speeds, and decreased room to maneuver because of fixed barriers or rough shoulders. This research project studied wrong-way crashes on interstate highways in Kansas in order to determine what, if any, statistically significant variables contribute to wrong-way driving crashes. Although these crashes represented only 0.05 percent of all vehicle crashes in Kansas in 2015, wrong-way crashes were found to have a higher rate of fatalities and injuries. In Kansas, 22.6 percent of all crashes and 56 percent of all wrong-way crashes resulted in fatalities and injuries, even though typical vehicle crashes in Kansas occur at non-intersection locations in daylight or in the presence of streetlights without negative factors of adverse weather conditions or drivers influenced by alcohol or drugs. Using crash data provided by the Kansas Department of Transportation from the years 2005 to 2015, the research team examined 372 wrong-way crashes. A cumulative logit statistical model was developed to identify significant characteristics of variables associated with each wrong-way crash. Results showed that driver not under the influence of alcohol or drugs was a significant characteristic in fatal and injury wrong-way crashes. Additionally, certain days of the week were associated with decreased vehicle crash rates when compared to the reference category.

This study evaluated the impacts of ITS information strategies under incident conditions in Interstate 4 (I-4) corridor of Orlando. The analysis was performed using DYNASMART-P software package. The ITS information strategies range from pre-trip information, en-route information, and variable message signs. Simulation covered one hour during the morning peak period. The impacts of ITS information strategies on mobility were evaluated by simulating the performance of various ITS information components (pre-trip information, en-route information, and variable message signs) under incident conditions for the I-4 corridor and comparing the results with the corresponding scenarios in the absence of these components. The traffic flow relations were calibrated against the flow measurements along freeway to determine model parameters. An effort was made to validate estimated traffic volumes against measured link counts. The archived I-4 data at the Center for Advanced Transportation Systems Simulation (CATSS) at the University of Central Florida was used for both calibration and validation. The analysis indicated that DYNASMART-P was able to adequately reproduce the observed morning peak hourly flows over suitably selected locations. Ten scenarios were designed to evaluate the benefits of ITS information strategies under incident conditions. The results indicated that these ITS traveler information technologies can result in great travel time saving. It was found that commuters who use traveler information via the pre-trip information or en-route information to switch their routes benefit significantly in terms of delay reduction when incidents occur. It was found that there exists an optimal value for the fraction users with information at which the network performs best. This optimal fraction may be different for different source of information. Also this may vary with different incidents. This study demonstrates how one can realistically simulate the network under various scenarios without actually conducting the high cost operational tests. DYNASMART-P can produce useful variables such as speeds, travel time, queue lengths, and stop time to better assess the impacts of ITS components. It can be applied in ITS equipped networks.

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