A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking
Conference Proceeding
Zhao, L., Liu, Y., Al-Dubai, A., Tan, Z., Min, G., & Xu, L. (2019)
A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking. https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00082
With the rapid development of mobile applications, networking technologies have been constantly evolved to offer a more convenient way of sharing information and online-commun...
Pedestrian crashes at priority controlled junctions, roundabouts and signalised junctions: The UK case study
Journal Article
Downey, L. (2019)
Pedestrian crashes at priority controlled junctions, roundabouts and signalised junctions: The UK case study. Traffic Injury Prevention, 20(3), 308-313. https://doi.org/10.1080/15389588.2019.1574972
Objectives: Over half of pedestrians killed and seriously injured in Great Britain in 2015 were involved in crashes at junctions. This study investigates the nature of these c...
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 accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates
Journal Article
Fountas, G., Anastasopoulos, P. C., & Abdel-Aty, M. (2018)
Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates. Analytic Methods in Accident Research, 18, 57-68. doi:10.1016/j.amar.2018.04.003
This paper employs a correlated random parameters ordered probit modeling framework to explore time-variant and time-invariant factors affecting injury-severity outcomes in si...
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...
Effectiveness of various public private partnership pavement rehabilitation treatments: A big data informatics survival analysis of pavement service life
Report
David, D., Fountas, G., Sarwar, M. T., Eker, U., Akpinar, S., & Anastasopoulos, P. C. (2017)
Effectiveness of various public private partnership pavement rehabilitation treatments: A big data informatics survival analysis of pavement service life. US Department of Transportation Office of the UTC Program
Past research efforts have used a wide variety of methodological approaches to analyze pavement performance indicators, pavement rehabilitation treatments, and pavement servic...
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 ...
Project Discrepancies in Roadway Construction and Preservation: A Statistical Analysis of Public–Private Partnership Contract Types in the US
Journal Article
Nahidi, S., Fountas, G., Sarvani, S. P., Sarwar, M. T., & Anastasopoulos, P. C. (2017)
Project Discrepancies in Roadway Construction and Preservation: A Statistical Analysis of Public–Private Partnership Contract Types in the US. Frontiers in Built Environment, 3, 1-20. doi:10.3389/fbuil.2017.00015
At the planning stage of a roadway construction or preservation project, public agencies face a crucial challenge; to adopt and implement the appropriate contractual framework...