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Turner-Fairbank Highway Research Center


Journal Citations

Many of the studies conducted using HSIS data result in publication in professional journals, conference proceedings, research records, and other peer-reviewed documents.

Title Pub Date Author
A Comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in Predicting the Severity of Fixed Object Crashes among Elderly Drivers Apr-20 Amir Mohammadian Amiri, Anurhossein Sadri, Navid Nadimi, and Moe Shams
A heterogeneity based case-control analysis of motorcyclist’s injury crashes: Evidence from motorcycle crash causation study Oct-18 Behram Wali, Asad J. Khattak, and Aemal J. Khattak
A longitudinal analysis of the effectiveness of California’s ban on cellphone use while driving Jan-19 Chenhui Liu, Chaoru Lu, Shefang Wang, Anuj Sharma, and John Shaw
A Multinomial Logit Model of Pedestrian-Vehicle Crash Severity in North Carolina Mar-19 Zhen Chen and Wei (David) Fan
A Time of Day Analysis of Pedestrian-Involved Crashes in California: Investigation of Injury Severity, a Logistic Regression and Machine Learning Approach Using HSIS Data Oct-19 Seyedmirsjad Mokhtarimousavi
Accident Models for Two-Lane Rural Segments and Intersections Sep-98 Andrew Vogt and Joe Bared
Accident Rates Using HSIS Yusuf M. Mohamedshah, and Amy R. Kobls
Accident Relationships of Roadway Width on Low-Volume Roads Jan-94 Zegeer, C.V., J.R. Stewart, F.M. Council, and T.R. Neuman
Adjustment for Maximum Likelihood Estimate of Negative Binomial Dispersion Parameter Jan-08 Park, B. and D. Lord
Age-related differences in motor-vehicle crash severity in California Aug-19 Adekunle Adebisi, Jiaqi Ma, Jaqueline Masaki, and John Sobanjo
Analysis of Effects of Pavement Marking Retroreflectivity on Traffic Crash Frequency on Highways in Jan-09 Donnell, E.T., V. Karwa, and S. Sathyanarayanan
Analysis of head-on crash injury severity using a partial proportional odds model Jun-21 Pengfei Liu and Wei (David) Fan
Analysis of injury severity of large truck crashes in work zones Dec-16 Mohamed Osman, Rajesh Paleti, Sabyasachee Mishra, and Mihalis M Golias
Analysis of Road Crash Frequency with Spatial Models Jan-09 guero-Valverde, J. and P.P. Jovanis
Analysis of Single-Vehicle Roadway Departure Crashes on Rural Curved Segments Accounting for Unobserved Heterogeneity Aug-20 Mouyid Islam and Anurag Pande
Application of Innovative Time Series Methodology to Relationship Between Retroreflectivity of Pavem Jan-07 Masliah, M., G. Bahar, and E. Hauer
Applying the ordered Probit Model to Injury Severity in Truck-Passenger Car Rear-End Collisions Sep-98 Chandler S. Duncan, Asad J. Khattak, and Forrest M. Council
Appraisal of the Interactive Highway Safety Design Model's Crash Prediction and Design Modules: Case Feb-09 Donnell, E.T., F. Gross, B.P. Stodart, and K.S. Opiela
Association of Median Width and Highway Accident Rates Oct-93 Mathew W. Knuiman, Forrest M. Council, and Donald W. Reinfurt
Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity Jan-06 Ma, J. and K.M. Kockelman

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Safety Effects of Horizontal Curve and Grade Combinations on Rural Two-Lane Highways

The safety effects of horizontal curves and grades on rural two-lane highways have been quantified in the American Association of State Highway and Transportation Officials (AASHTO) Highway Safety Manual (HSM), but it was not previously known whether and how the safety performance of horizontal curves and grades interact. Furthermore, there are no established safety effects for crest and sag vertical curves, and it is unknown whether and how the safety performance of crest or sag vertical curves is affected by the presence of horizontal curves.

The objective of this study was to quantify the combined safety effects of horizontal curves and grade combinations and express the results as crash modification factors (CMFs) that can be considered for use in the AASHTO HSM.

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Safety Evaluation of Converting Traffic Signals from Incandescent to Light-Emitting Diodes

Across the Nation, many agencies have been replacing conventional incandescent light bulbs in traffic signals with light-emitting diodes (LED). LEDs are primarily installed to reduce energy consumption and decrease maintenance. In addition, LEDs are expected to last much longer compared with incandescent bulbs and tend to age gradually. However, a recent study revealed several potential problems with LEDs, including their inability to melt snow and issues related to visual discomfort caused by glare at night.

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Safety Evaluation Of Discontinuing Late-Night Flash Operations at Signalized Intersections

During late-night flash (LNF) mode (from late night to early morning hours), traffic signals flash yellow for one road (typically, the major road), requiring caution but no stopping, and flash red for the other road (typically, the minor road), requiring drivers to stop and then proceed through the intersection after yielding to the traffic on the major road. The intent of LNF is to reduce energy consumption and delay during periods of low traffic demand. However, in recent years, many agencies have begun replacing LNF with normal phasing operation because of safety concerns.

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