Applications of Knowledge Discovery in Massive Transportation Data: The Development of a Transportation Research Informatics Platform (TRIP).
Report
Majka, K., Nagler, E., James, A., Blatt, A., Pierowicz, J., Anastasopoulos, P. . C., & Fountnas, G. (2019)
Applications of Knowledge Discovery in Massive Transportation Data: The Development of a Transportation Research Informatics Platform (TRIP). Federal Highway Administration
Transportation researchers and practitioners have access to unprecedented amounts of data but lack the tools to easily store, manipulate, and analyze these data. The Transport...
Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions
Journal Article
Fountas, G., Anastasopoulos, P. C., & Mannering, F. L. (2018)
Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions. Analytic Methods in Accident Research, 18, 15-32. https://doi.org/10.1016/j.amar.2018.03.003
Using information from 1990 single-vehicle accidents that occurred between 2011 and 2013 in the state of Washington, the injury severity level of the most severely injured veh...
Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach
Journal Article
Fountas, G., Sarwar, M. T., Anastasopoulos, P. C., Blatt, A., & Majka, K. (2018)
Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach. Accident analysis and prevention, 113, 330-340. https://doi.org/10.1016/j.aap.2017.05.018
Traditional accident analysis typically explores non-time-varying (stationary) factors that affect accident occurrence on roadway segments. However, the impact of time-varying...
Simultaneous estimation of discrete outcome and continuous dependent variable equations: A bivariate random effects modeling approach with unrestricted instruments
Journal Article
Sarwar, M. T., Fountas, G., & Anastasopoulos, P. C. (2017)
Simultaneous estimation of discrete outcome and continuous dependent variable equations: A bivariate random effects modeling approach with unrestricted instruments. Analytic Methods in Accident Research, 16, 23-34. https://doi.org/10.1016/j.amar.2017.05.002
This paper proposes a novel methodology to simultaneously model discrete outcome (binary) and continuous dependent variables. The proposed modeling framework addresses unobser...
A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities
Journal Article
Fountas, G., & Anastasopoulos, P. C. (2017)
A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities. Analytic Methods in Accident Research, 15, 1-16. https://doi.org/10.1016/j.amar.2017.03.002
This study uses highway accident data collected in the State of Washington, between 2011 and 2013, to study the factors that affect accident injury-severities. To account for ...
Preliminary Investigation of the Effectiveness of High-Visibility Crosswalks on Pedestrian Safety Using Crash Surrogates
Journal Article
Sarwar, M. T., Fountas, G., Bentley, C., Anastasopoulos, P. C., Blatt, A., Pierowicz, J., …Limoges, R. (2017)
Preliminary Investigation of the Effectiveness of High-Visibility Crosswalks on Pedestrian Safety Using Crash Surrogates. Transportation research record, 2659, 182-191. https://doi.org/10.3141/2659-20
This paper, with the use of data from the SHRP 2 naturalistic driving study, provides a preliminary evaluation of the effectiveness of high-visibility crosswalks (HVCs) in imp...