Dominique Lord

TL;DR: The results of the study show that the selection of the functional form of NB models has an important effect on EB estimates both in terms of estimated values, weight factors, and dispersion parameters, and the identification of hazardous sites can be significantly affected when a GNB model with a time-varying dispersion parameter is used.

TL;DR: This study shows that modeling single- and multi-vehicle crashes separately predicts larger confidence intervals than modeling them together as a single model, and this research supports previous studies that recommended modelingSingle- andMulti-vehicles crashes separately for analyzing highway segments.

TL;DR: This paper re-examines crash-speed relationships by creating a new crash data aggregation approach that enables improved representation of the road conditions just before crash occurrences, suggesting that data aggregation is a crucial, yet so far overlooked, methodological element of crash data analyses that may have direct impact on the modelling outcomes.

TL;DR: In this article, the authors describe the efforts to evaluate pedestrian gap acceptance as part of a recent TCRP-NCHRP project, and evaluate the gap acceptance behavior of crossing pedestrians with a two-part analysis: behavioral analysis and statistical analysis.

TL;DR: The research showed that it is possible to predict crashes on digital transportation networks, but confirmed the reality that the accuracy of the predictions is directly related to the precision of the traffic flow estimates.