Thesis (M.S.)--University of Wisconsin--Madison, 1982. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (M. A.)--University of Hong Kong, 2005. / Title proper from title frame. Also available in printed format.

Travel time estimation is an integral part of transportation management. The use of advanced technologies in collecting travel time information has been a major concern to transportation engineers and system operators who rely on such data to improve safety and emergency response of transportation facilities. GPS and Bluetooth are two of the available technologies which are efficient and cost effective in collecting travel time data. This study focuses on the accuracy analysis of them. This thesis begins with a review of the theory of Intelligent Transportation System (ITS) instruments. Then it illustrates the methods of travel time collection in three techniques, License Plate, Global Positioning System (GPS) and Bluetooth. Third, it outlines the method of processing of the data and the statistical method to compare the accuracy of GPS and Bluetooth. Last, it presents the results and analyzes the accuracy of two technologies.

No description available.

The purpose of this study was to estimate the drivers' travel time with the occurrence of an incident on freeway. Three approaches, which were shock wave analysis, queuing theory and cellular automata models, were initially considered, however, the first two macroscopic models were indicated to underestimate travel time by previous literature. A microscopic simulation model based on cellular automata was developed to attain the goal. The model incorporated driving behaviors on the freeway with the presence of on-ramps, off-ramps, shoulder lanes, bottlenecks and incidents. The study area was a 16 mile eastbound section of I-66 between US-29 and I-495 in northern Virginia. The data for this study included loop detector data and incident data for the road segment for the year 2007. Flow and speed data from the detectors were used for calibration using quantitative and qualitative techniques. The cellular automata model properly reproduced the traffic flow under normal conditions and incidents. The travel time information was easily obtained from the model. The system is promising for travel time estimation in near real time. / Master of Science

One of the ways to define mobility in a transportation system is total travel time for all travelers using the transportation network. A good assessment of the mobility is essential for knowing the points of congestion in the network and the factors responsible for the congestion. Also the change in mobility from the baseline to the horizon year would give the modeler an idea of the effectiveness of the various transportation systems. One of the applications of the mobility measurement is the evaluation of aviation technologies proposed by FAA to ease the congestion. This paper addresses a method to estimate the mobility of the air transportation network in the baseline year (2000). Also presented is a method to estimate the mobility to the horizon year by considering congestion on the roadway. / Master of Science

Thesis (M. Eng. Sc.)--University of Melbourne, 1994. / Typescript (photocopy). Includes bibliographical references (leaves 123-126).

This thesis presents an investigation of arterial travel time and reliability. Specifically an examination of the proposed arterial travel time reliability performance measures detailed in Federal Highway Administration’s Notice of Proposed Rulemaking on national performance management measures are performed. These measures, including level of travel time reliability and peak hour travel time ratio, are computed and compared to those currently used to quantify congestion and travel time reliability. Within this process several commonly used data sources are evaluated to determine the effects of data quality and data source on performance measure evaluation. The newly created Urban Streets Reliability tool is also evaluated for its ability to estimate the effect of several proposed projects on the travel time reliability of a transportation network. In conclusion, this thesis found that the proposed travel time reliability performance measures show definite differences in estimates of facility reliability as compared with currently used performance measures such as travel time index and planning time index. A variation in the magnitude of this difference was also observed based on a rural vs. urban roadway setting. Finally, further areas of research involving the use of the Urban Streets Reliability tool to estimate the impact of reliability improvements on side streets and the transportation network as a whole are discussed.

published_or_final_version / abstract / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

This thesis deals with the problem of locating emergency vehicles in an urban area. An optimization model is formulated that extends previous work by allowing stochastic travel times, unequal vehicle utilizations, and backup service. The heart of the model is a procedure similar to the Hypercube approximation model. Ten pair-wise interchange heuristics are developed and tested on 240 test problems. Demand and service time components of the test data have been generated using characteristics of the Tucson Emergency Medical System. Geographical components of the test data have been generated using actual city shapes as models. It is believed that these test problems are more indicative of actual emergency vehicle location problems than those previously presented in the literature.