Microscopic safety evaluation and prediction for freeway-to-freeway interchange ramps

Transportation Research Record

Volumn 2583, Issue , 2016, Pages 56-64

  Wang, Ling ^a   Abdel Aty, Mohamed ^a  

^a University of Central Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIGHWAY ACCIDENTS; INTERCHANGES; PARAMETER ESTIMATION; REGRESSION ANALYSIS; RISK PERCEPTION; VEHICLES;

CRASH FREQUENCY; CRASH RISK; INTERCHANGE RAMPS; MULTI-VEHICLES; ROADWAY SURFACES; SURFACE CONDITIONS; TRAFFIC VOLUMES; TURNING ANGLES; VEHICLE CRASHES; VERTICAL ALIGNMENT;

RISK ASSESSMENT;

EID: 85015614697     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2583-08     Document Type: Article

References (47)

1. Zhang, Y., Y. Xie, and L. Li. Crash Frequency Analysis of Different Types of Urban Roadway Segments Using Generalized Additive Model. Journal of Safety Research, Vol. 43, No. 2, 2012, pp. 107-114.
2. Persaud, B., and L. Dzbik. Accident Prediction Models for Freeways. In Transportation Research Record 1401, TRB, National Research Council, Washington, D.C., 1993, pp. 55-60.
3. Mensah, A., and E. Hauer. Two Problems of Averaging Arising in the Estimation of the Relationship Between Accidents and Traffic Flow. In Transportation Research Record 1635, TRB, National Research Council, Washington, D.C., 1998, pp. 37-43.
4. Abdel-Aty, M., and R. Pemmanaboina. Calibrating a Real-Time Traffic Crash-Prediction Model Using Archived Weather and ITS Traffic Data. IEEE Transactions on Intelligent Transportation Systems, Vol. 7, No. 2, 2006, pp. 167-174.
5. Xu, C., W. Wang, P. Liu, X. Jiang, Z. Li, and X. Zhang. Real-Time Identification of Crash-Prone Traffic Conditions Under Different Weather on Freeways. Presented at 92nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2013.
6. Yu, R., and M. Abdel-Aty. Multi-Level Bayesian Analyses for Singleand Multi-Vehicle Freeway Crashes. Accident Analysis and Prevention, Vol. 58, 2013, pp. 97-105.
7. McCartt, A. T., V. S. Northrup, and R. A. Retting. Types and Characteristics of Ramp-Related Motor Vehicle Crashes on Urban Interstate Roadways in Northern Virginia. Journal of Safety Research, Vol. 35, No. 1, 2004, pp. 107-114.
8. Lord, D., and J. Bonneson. Calibration of Predictive Models for Estimating Safety of Ramp Design Configurations. In Transportation Research Record: Journal of the Transportation Research Board, No. 1908, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 88-95.
9. Garnowski, M., and H. Manner. On Factors Related to Car Accidents on German Autobahn Connectors. Accident Analysis and Prevention, Vol. 43, No. 5, 2011, pp. 1864-1871.
10. Sun, J., J. Wang, and J. Sun. Safety Influencing Factors Assessment of Expressway Exit Ramps in Shanghai. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
11. Yu, L., Z. Li, A. R. Bill, and D. A. Noyce. Development of Freeway and Interchange Safety Performance Functions with Respect to Roadway Lighting: A Pilot Study. Presented at 94th Annual Meeting of the Transportation Research Board, Washington, D.C., 2015.
12. Gwynn, D. W. Relationship of Accident Rates and Accident Involvements with Hourly Volumes. Traffic Quarterly, Vol. 21, No. 3, 1967.
13. Zhou, M., and V. Sisiopiku. Relationship Between Volume-to-Capacity Ratios and Accident Rates. In Transportation Research Record 1581, TRB, National Research Council, Washington, D.C., 1997, pp. 47-52.
14. Chang, J., C. Oh, and M. Chang. Transportation Research Circular E-C018: Effects of Traffic Condition (V/C) on Safety at Freeway Facility Sections. TRB, National Research Council, Washington, D.C., 2000. http://onlinepubs.trb.org/Onlinepubs/circulars/ec018.pdf.
15. Lord, D., A. Manar, and A. Vizioli. Modeling Crash-Flow-Density and Crash-Flow-V/C Ratio Relationships for Rural and Urban Freeway Segments. Accident Analysis and Prevention, Vol. 37, No. 1, 2005, pp. 185-199.
16. Kononov, J., C. Durso, D. Reeves, and B. Allery. Relationship Between Traffic Density, Speed, and Safety and Its Implications for Setting Variable Speed Limits on Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 2280, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 1-9.
17. Abdel-Aty, M., N. Uddin, A. Pande, F. Abdalla, and L. Hsia. Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic Regression. In Transportation Research Record: Journal of the Transportation Research Board, No. 1897, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 88-95.
18. Pande, A., M. Abdel-Aty, and L. Hsia. Spatiotemporal Variation of Risk Preceding Crashes on Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1908, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 26-36.
19. Golob, T. F., and W. W. Recker. Relationships Among Urban Freeway Accidents, Traffic Flow, Weather, and Lighting Conditions. Journal of Transportation Engineering, Vol. 129, No. 4, 2003, pp. 342-353.
20. Lee, C., M. Abdel-Aty, and L. Hsia. Potential Real-Time Indicators of Sideswipe Crashes on Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1953, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 41-49.
21. Xu, C., A. P. Tarko, W. Wang, and P. Liu. Predicting Crash Likelihood and Severity on Freeways with Real-Time Loop Detector Data. Accident Analysis and Prevention, Vol. 57, 2013, pp. 30-39.
22. Hossain, M., and Y. Muromachi. Understanding Crash Mechanism on Urban Expressways Using High-Resolution Traffic Data. Accident Analysis and Prevention, Vol. 57, 2013, pp. 17-29.
23. Wang, L., M. Abdel-Aty, Q. Shi, and J. Park. Real-Time Crash Prediction for Expressway Weaving Segments. Transportation Research Part C: Emerging Technologies, Vol. 61, 2015, pp. 1-10.
24. Wang, L., Q. Shi, and M. Abdel-Aty. Predicting Crashes on Expressway Ramps with Real-Time Traffic and Weather Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2514, Transportation Research Board, Washington, D.C., 2015, pp. 32-38.
25. Bonneson, J., S. Geedipally, M. Pratt, and D. Lord. NCHRP 17-45: Safety Prediction Methodology and Analysis Tool for Freeways and Interchanges. Transportation Research Board of the National Academies, Washington, D.C., 2012.
26. Lord, D., and F. Mannering. The Statistical Analysis of Crash-Frequency Data: A Review and Assessment of Methodological Alternatives. Transportation Research Part A: Policy and Practice, Vol. 44, No. 5, 2010, pp. 291-305.
27. Lord, D., and L. F. Miranda-Moreno. Effects of Low Sample Mean Values and Small Sample Size on the Estimation of the Fixed Dispersion Parameter of Poisson-Gamma Models for Modeling Motor Vehicle Crashes: A Bayesian Perspective. Safety Science, Vol. 46, No. 5, 2008, pp. 751-770.
28. Vittinghoff, E., D. V. Glidden, S. C. Shiboski, and C. E. McCulloch. Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. Springer Science and Business Media, New York, 2011.
29. Andersen, P. K., and L. T. Skovgaard. Regression with Linear Predictors. Springer Science and Business Media, New York, 2010.
30. Zheng, Z., S. Ahn, and C. M. Monsere. Impact of Traffic Oscillations on Freeway Crash Occurrences. Accident Analysis and Prevention, Vol. 42, No. 2, 2010, pp. 626-636.
31. Yu, R., and M. Abdel-Aty. Using Hierarchical Bayesian Binary Probit Models to Analyze Crash Injury Severity on High Speed Facilities with Real-Time Traffic Data. Accident Analysis and Prevention, Vol. 62, 2014, pp. 161-167.
32. Gelman, A. Multilevel (Hierarchical) Modeling: What It Can and Cannot Do. Technometrics, Vol. 48. No. 3, 2006, pp. 432-435.
33. Park, E., and D. Lord. Multivariate Poisson-Lognormal Models for Jointly Modeling Crash Frequency by Severity. In Transportation Research Record: Journal of the Transportation Research Board, No. 2019, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 1-6.
34. Xu, C., W. Wang, P. Liu, R. Guo, and Z. Li. Using the Bayesian Updating Approach to Improve the Spatial and Temporal Transferability of Real-Time Crash Risk Prediction Models. Transportation Research Part C: Emerging Technologies, Vol. 38, 2014, pp. 167-176.
35. Hourdos, J., V. Garg, P. Michalopoulos, and G. Davis. Real-Time Detection of Crash-Prone Conditions at Freeway High-Crash Locations. In Transportation Research Record: Journal of the Transportation Research Board, No. 1968, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 83-91.
36. Abdel-Aty, M., and A. Pande. Identifying Crash Propensity Using Specific Traffic Speed Conditions. Journal of Safety Research, Vol. 36, No. 1, 2005, pp. 97-108.
37. Pande, A., A. Das, M. Abdel-Aty, and H. Hassan. Estimation of Real-Time Crash Risk: Are All Freeways Created Equal? In Transportation Research Record: Journal of the Transportation Research Board, No. 2237, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 60-66.
38. Qu, X., W. Wang, W. Wang, P. Liu, and D. A. Noyce. Real-Time Prediction of Freeway Rear-End Crash Potential by Support Vector Machine. Presented at 91st Annual Meeting of the Transportation Research Board, Washington, D.C., 2012.
39. Gelman, A., J. B. Carlin, H. S. Stern, and D. B. Rubin. Bayesian Data Analysis. Taylor & Francis, New York, 2014.
40. Spiegelhalter, D., A. Thomas, N. Best, and D. Lunn. WinBUGS User Manual. 2003.
41. Hosmer, D. W., Jr., S. Lemeshow, and R. X. Sturdivant. Applied Logistic Regression. John Wiley & Sons, Inc., New York, 2013.
42. Banihashemi, M. Is Horizontal Curvature a Significant Factor of Safety in Rural Multilane Highways? In Transportation Research Record: Journal of the Transportation Research Board, No. 2515, Transportation Research Board, Washington, D.C., 2015, pp. 50-56.
43. Harwood, D. W., F. Council, E. Hauer, W. Hughes, and A. Vogt. Prediction of the Expected Safety Performance of Rural Two-Lane Highways. FHWA-RD-99-207. FHWA, U.S. Department of Transportation, 2000.
44. Hauer, E. The Art of Regression Modeling in Road Safety. Springer, New York, 2015.
45. Hauer, E., F. Council, and Y. Mohammedshah. Safety Models for Urban Four-Lane Undivided Road Segments. In Transportation Research Record: Journal of the Transportation Research Board, No. 1897, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 96-105.
46. Breiman, L. Random Forests. Machine Learning, Vol. 45, No. 1, 2001, pp. 5-32.
47. Highway Safety Manual. AASHTO, Washington, D.C., 2010.