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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
Age-related differences in motor-vehicle crash severity in California Aug-19 Adekunle Adebisi, Jiaqi Ma, Jaqueline Masaki, and John Sobanjo
Comparison of univariate and two-stage approaches for estimating crash frequency by severity—Case study for horizontal curves on two-lane rural roads Aug-19 Alireza Jafari Anarkooli, Bhagwant Persaud, Mehdi Hosseinpour, and Taha Saleem
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
Investigating Factors That Contribute to Freeway Crash Severity Using Machine Learning Nov-20 Amirreza Nickkar, Ali Yazdizadeh, and Young-Jae Lee
Accident Models for Two-Lane Rural Segments and Intersections Sep-98 Andrew Vogt and Joe Bared
Effects of Work Zone Presence on Injury and Non-Injury Crashes Jan-02 Asad J. Khattak, Aemal J. Khattak, and Forrest M. Council
Real World Crash Evaluation of Vehicle Stability Control (VSC) Technology Jan-05 Bahouth, G.
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
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
Investigation of National Highway System Roadways in the Highway Safety Information System States Sep-98 Charles V. Zegeer, Herman F. Huang, J. Richard Stewart, and Carolyn Williams
Effects of a Towaway Reporting Threshold on Crash Analysis Results Sep-98 Charles V. Zegeer, Herman F. Huang, J. Richard Stewart, Ron Pfefer and Jun Wang
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
Factors Influencing Crash Severity at Rural Horizontal Curves in Maine May-19 Chennan Xue and Dan Xu
Evaluation of Truck Crashes Using a GIS-Based Crash Referencing and Analysis System. David L. Harkey
Evaluation of Truck Crashes Using a GIS-Based Crash Referencing and Analysis System David L. Harkey
Use of Propensity Score Matching Method and Hybrid Bayesian Method to Estimate Crash Modification Fa Jan-06 Davis, G.A. and N. Aul
Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates Oct-20 Dawei Li and Mustafa F.M. Al-Mahamda
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
Analysis of Effects of Pavement Marking Retroreflectivity on Traffic Crash Frequency on Highways in Jan-09 Donnell, E.T., V. Karwa, and S. Sathyanarayanan
Investigating temporal trends in the explanatory variables related to the severity of drivers' injuries in single-vehicle collisions Feb-17 Essam Dabbour

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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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