Show source-provided references
1. Rodegerdts, L. (2010). Roundabouts: An Informational Guide, Transportation Research Board.
3. Robinson, B., Rodegerdts, L., Scarborough, W., Kittelson, W., Troutbeck, R., Brilon, W., Bondizio, L., Courage, K., Kyte, M., and Mason, J. (2000). Roundabouts: An informational Guide (No. FHWA-RD-00-067; Project 2425).
5. Chen, Y., Zheng, X., Peterson, A., and Ahmadian, M. (2020). Simulation Evaluation on the Rollover Propensity of Multi-Trailer Trucks at Roundabouts, SAE Technical Paper.
10.4271/2020-01-5005 ↗8. Effect of traffic roundabouts on accident rate and severity in Arizona
11. A statistical assessment of temporal instability in the factors determining motorcyclist injury severities
12. Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes
13. Investigating the Possibilities of Specific Crash Type at Roundabouts
14. National Highway Traffic Safety Administration (NHTSA) (2010). 2009 FARS Coding and Validation Manual.
15. The influence of traffic, geometric and context variables on urban crash types: A grouped random parameter multinomial logit approach
16. Random-Parameter Multivariate Negative Binomial Regression for Modeling Impacts of Contributing Factors on the Crash Frequency by Crash Types
10.1155/2020/6621752 ↗17. Cáceres, L., Fernández, M.A., Gordaliza, A., and Molinero, A. (2021). Detection of Geometric Risk Factors Affecting Head-On Collisions through Multiple Logistic Regression: Improving Two-Way Rural Road Design via 2+1 Road Adaptation. Int. J. Environ. Res. Public Health, 18.
10.3390/ijerph18126598 ↗20. Modeling correlation and heterogeneity in crash rates by collision types using full bayesian random parameters multivariate Tobit model
10.1016/j.aap.2019.04.013 ↗21. The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence
22. Temporal instability and the analysis of highway accident data
23. The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity
10.1016/j.trb.2014.04.007 ↗24. Exploratory multinomial logit model–based driver injury severity analyses for teenage and adult drivers in intersection-related crashes
10.1080/15389588.2015.1100722 ↗25. Transferability Analysis of Heterogeneous Overdispersion Parameter Negative Binomial Crash Models
10.3141/2583-13 ↗26. Temporal stability of driver injury severity in single-vehicle roadway departure crashes: A random thresholds random parameters hierarchical ordered probit approach
27. Ordered logistic models of influencing factors on crash injury severity of single and multiple-vehicle downgrade crashes: A case study in Wyoming
10.1016/j.jsr.2018.12.006 ↗28. Exploring truck driver-injury severity at intersections considering heterogeneity in latent classes: A case study of North Carolina
10.1016/j.ijtst.2020.12.006 ↗29. Effects of excessive speeding and falling asleep while driving on crash injury severity in Ethiopia: A generalized ordered logit model analysis
10.1016/j.aap.2014.05.003 ↗31. A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving
33. Investigating risk factors of traffic casualties at private highway-railroad grade crossings in the United States
10.1016/j.aap.2016.07.024 ↗34. Using traffic flow characteristics to predict real-time conflict risk: A novel method for trajectory data analysis
35. Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and variances
37. Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity
38. An examination of the environmental, driver and vehicle factors associated with the serious and fatal crashes of older rural drivers
10.1016/j.aap.2012.06.028 ↗39. The temporal stability of factors affecting driver injury severity in run-off-road crashes: A random parameters ordered probit model with heterogeneity in the means approach
10.1016/j.aap.2020.105677 ↗40. The dynamic tradeoff between safety and efficiency in discretionary lane-changing behavior: A random parameters logit approach with heterogeneity in means and variances
10.1016/j.aap.2021.106036 ↗43. Modeling single-vehicle run-off-road crash severity in rural areas: Accounting for unobserved heterogeneity and age difference
10.1016/j.aap.2017.02.014 ↗44. The effect of passengers on driver-injury severities in single-vehicle crashes: A random parameters heterogeneity-in-means approach
46. An Investigation of the Safety Performance of Roundabouts in Korea Based on a Random Parameters Count Model
10.1155/2018/5628293 ↗47. Kreispolizeibehorde Erftkreis (2022, June 16). Daten aus einer Untersuchung von 27 Kreisverkehren im Erftkreis. Available online: https://www.nipponroad.co.jp/.
48. Steyn, H.J., Griffin, A., and Rodegerdts, L. (2023, October 07). Accelerating Roundabouts in the United States: Volume IV of VII–A Review of Fatal and Severe Injury Crashes at Roundabouts, Available online: https://rosap.ntl.bts.gov/view/dot/49389.
50. Review of accident research at roundabouts
51. Souliman, B. (2016). Effect of Roundabouts on Accident Rate and Severity in Arizona, Arizona State University.
52. Identifying the Factors Contributing to Injury Severity in Work Zone Rear-End Crashes
10.1155/2019/4126102 ↗54. (2021, November 15). VISIT FLORIDA Research. Available online: https://www.visitflorida.org/resources/research/.
57. Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities
60. Factors affecting motorcyclists’ injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances
10.1016/j.aap.2018.10.022 ↗61. Unobserved heterogeneity and temporal instability in the analysis of work-zone crash-injury severities
63. Unobserved heterogeneity and the statistical analysis of highway accident data
64. An empirical analysis of how asleep/fatigued driving-injury severities have changed over time