Abstract: Overall statewide satisfaction with MoDOT and additional feedback about MoDOT’s operations was obtained from a representative sample of the general adult public in Missouri. A professional calling center was engaged to obtain a diverse sample across Missouri. Specific minimums were given, such as 500 responses per district, with gender and age-range targets for each county in Missouri. 3,527 completed responses were obtained between May 18, 2015 and June 22, 2015. With the exception of a few questions (e.g., demographics), all statewide results presented in this document are weighted results. The data was weighted in accordance with the true distribution of the regional population in terms of geographic (county), gender, and age distributions using the most recent (2010) US government census information available. Following past practice, all district measures presented in this document are unweighted. With a minimum of 500 responses per district, the district measures have a 95% level of confidence with a precision (margin of error) of +/- 4.4%. The statewide results for the stratified-random sample of 3,527 Missourians have a 95% level of confidence with a precision of +/- 1.65%.
VIEW FINAL REPORT
VIEW ALL REPORTS AND APPENDICES
Report number: cmr15-012
Published: August 2015
Project number: TR201228
Author: Lance Gentry
Performing organization: Heartland Market Research LLC
Abstract: This project is aimed at fully utilizing the data gathered by existing fixed sensors to estimate point-to-point freeway network travel time in the MoDOT St. Louis District. The objectives of the project were achieved by accomplishing three major tasks: 1) A new travel time estimation model was developed and its ability to outperformed two traditional models, the instantaneous and time-slice models, demonstrated using real-world data. 2) The verification of the proposed model relies on the ground truth travel time. Collecting ground truth travel time is both time-consuming and challenging, so a novel Vehicle Re-identification (VRI) method was developed to facilitate the ground truth data collection process with satisfactory results. 3) A point-to-point network travel time estimation prototype system was also developed. In addition to the primary module of travel time estimation, both data assurance report production and traffic volume report production were modularized. The prototype system was then applied to four case studies measuring: freeway corridor performance (both with and without a turning junction), the impact of severe weather events on traffic volume, and travel time reliability. The prototype system clearly demonstrated its capability and efficiency through these case studies. Because of its high design flexibility, the system is confidently expected to support additional case studies with minimal system revision and tune-up.
VIEW ENTIRE REPORT
Report number: cmr16-002
Published: August 2015
Project number: TR201407
Author(s): Yao-Jan Wu, Shu Yang, Zhaozheng Yin, and Wenchao Jiang
Performing organizations: Department of Civil Engineering and Engineering Mechanics, University of Arizona and Department of Computer Science, Missouri University of Science and Technology
