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
Analysis of head-on crash injury severity using a partial proportional odds model Jun-21 Pengfei Liu and Wei (David) Fan
Exploring truck driver-injury severity at intersections considering heterogeneity in latent classes: A case study of North Carolina Jun-21 Li Song and Wei (David) Fan
Inclusion of speed and weather measures in safety performance functions for rural roadways Apr-21 Subasish Das, Srinivas R. Geedipally, and Kay Fitzpatrick
Safety Criteria for Selecting a Smart Corridor: Random Forest Approach Using HSIS Data from Washington State Dec-20 Xiaoyu Guo, Yongxin Peng, and Chaolun Ma
Investigating Factors That Contribute to Freeway Crash Severity Using Machine Learning Nov-20 Amirreza Nickkar, Ali Yazdizadeh, and Young-Jae Lee
Collective Risk Ranking of Highway Segments on the Basis of Severity-Weighted Crash Rates Oct-20 Dawei Li and Mustafa F.M. Al-Mahamda
Analysis of Single-Vehicle Roadway Departure Crashes on Rural Curved Segments Accounting for Unobserved Heterogeneity Aug-20 Mouyid Islam and Anurag Pande
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
Odds of work zone crash occurrence and getting involved in advance warning, transition, and activity areas by injury severity Apr-20 Krupanidhi Koilada, Ajinkya S.Mane, and Srinivas S.Pulugurtha
Exploring Injury Severity in Head-On Crashes Using Latent Class Clustering Analysis and Mixed Logit Model: A Case Study of North Carolina Jan-20 Pengfei Liu and Wei 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
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
Impacts of Work Zone Component Areas on Driver Injury Severity. Aug-19 Mohamed Osman, Sabyasachee Mishra, Rajesh Paleti, and Mihalis Golias
Factors Influencing Crash Severity at Rural Horizontal Curves in Maine May-19 Chennan Xue and Dan Xu
Crash risk factors associated with injury severity of teen drivers Apr-19 Venkata Duddu, Venu Madhav Kukkapalli, and Srinivas S. Pulugurtha
A Multinomial Logit Model of Pedestrian-Vehicle Crash Severity in North Carolina Mar-19 Zhen Chen and Wei (David) Fan
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 Injury Severity in Alcohol-Related Crashes: A Neural Network Approach Using HSIS Crash Data Jan-19 Snehanshu Banerjee and Nashid Khadem
Modeling and comparing injury severity of at-fault and not at-fault drivers in crashes Nov-18 Venkata R Duddu, Praveena Penmetsa, and Srinivas S Pulugurtha

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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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