Crash frequency modeling for signalized intersections in a high-density urban road network

Analytic Methods in Accident Research

Volumn 2, Issue , 2014, Pages 39-51

  Xie, Kun ^a,b   Wang, Xuesong ^c   Ozbay, Kaan ^a,b   Yang, Hong ^a,b  

^a POLYTECHNIC UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY   (United States)

^c TONGJI UNIVERSITY   (China)

Author keywords

Crash frequency model; Hierarchical conditional autoregressive model; Hierarchy; High density network; Signalized intersection; Spatial correlation

Indexed keywords

FREQUENCY ESTIMATION; HIERARCHICAL SYSTEMS; LAGRANGE MULTIPLIERS; MOTOR TRANSPORTATION; RANDOM PROCESSES; ROADS AND STREETS; TRAFFIC SIGNALS;

CONDITIONAL AUTOREGRESSIVE MODELS; CRASH FREQUENCY; HIERARCHY; SIGNALIZED INTERSECTION; SPATIAL CORRELATIONS;

TRAFFIC CONTROL;

EID: 84904544866     PISSN: 22136657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amar.2014.06.001     Document Type: Article

References (61)

1. M. Abdel-Aty, and X. Wang Crash estimation at signalized intersections along corridors: analyzing spatial effect and identifying significant factors Transportation Research Record 1953 2006 98 111 (Pubitemid 44877610)
2. M.A. Abdel-Aty, and A.E. Radwan Modeling traffic accident occurrence and involvement Accident Analysis and Prevention 32 5 2000 633 642
3. J. Aguero-Valverde, and P.P. Jovanils Analysis of road crash frequency with spatial models Transportation Research Record 2061 2008 55 63
4. M. Ahmed, H. Huang, M. Abdel-Aty, and B. Guevara Exploring a bayesian hierarchical approach for developing safety performance functions for a mountainous freeway Accident Analysis and Prevention 43 4 2011 1581 1589
5. P.C. Anastasopoulos, and F.L. Mannering A note on modeling vehicle accident frequencies with random-parameters count models Accident Analysis and Prevention 41 1 2009 153 159
6. L. Anselin Lagrange Multiplier test diagnostics for spatial dependence and spatial heterogeneity Geographical Analysis 20 1 1988 1 17
7. L. Anselin Spatial Econometrics: Methods and Models 1988 Kluwer Academic, Dordrecht
8. L. Anselin Geoda™ 0.9 user's guide Urbana 51 2003 61801
9. L. Anselin, A.K. Bera, R. Florax, and M.J. Yoon Simple diagnostic tests for spatial dependence Regional Science and Urban Economics 26 1 1996 77 104
10. L. Anselin, and R.J. Florax New Directions in Spatial Econometrics 1995 Springer Verlag, Berlin
11. L. Anselin, I. Syabri, and Y. Kho Geoda: an introduction to spatial data analysis Geographical Analysis 38 1 2006 5 22
12. A.K. Bera, and M.J. Yoon Specification testing with locally misspecified alternatives Econometric Theory 9 4 1993 649 658
13. J. Besag, J. York, and A. Mollié Bayesian image restoration, with two applications in spatial statistics Annals of the Institute of Statistical Mathematics 43 1 1991 1 20
14. S.P. Brooks, and A. Gelman General methods for monitoring convergence of iterative simulations Journal of Computational and Graphical Statistics 7 4 1998 434 455 (Pubitemid 128635035)
15. P. Burridge On the cliff-ord test for spatial correlation Journal of the Royal Statistical Society. Series B (Methodological) 1980 107 108
16. Y. Chen, and B. Persaud Methodology to develop crash modification functions for road safety treatments with fully specified and hierarchical models Accident Analysis & Prevention 70 2014 131 139
17. H.C. Chin, and M.A. Quddus Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections Accident Analysis and Prevention 35 2 2003 253 259
18. Y.-C. Chiou, C. Fu, and H. Chih-Wei Incorporating spatial dependence in simultaneously modeling crash frequency and severity Analytic Methods in Accident Research 2 2014 1 11
19. K. El-Basyouny, and T. Sayed Accident prediction models with random corridor parameters Accident Analysis and Prevention 41 5 2009 1118 1123
20. K. El-Basyouny, and T. Sayed Urban arterial accident prediction models with spatial effects Transportation Research Record 2102 2009 27 33
21. S.R. Geedipally, D. Lord, and S.S. Dhavala A caution about using deviance information criterion while modeling traffic crashes Safety Science 62 2014 495 498
22. A.E. Gelfand Model determination using sampling based methods W. Gilks, S. Richardson, D. Spiegelhalter, Markov Chain Monte Carlo in Practice 1996 Chapman and Hall, London 145 161
23. A. Gelman Bayesian Data Analysis 2nd ed. 2004 Chapman & Hall/CRC Boca Raton, Fla
24. A. Gelman, and J. Hill Data Analysis using Regression and Multilevel/Hierarchical Models 2007 Cambridge University Press Cambridge; New York
25. S. Geman, and D. Geman Stochastic relaxation, gibbs distributions, and the bayesian restoration of images IEEE Transactions on Pattern Analysis and Machine Intelligence 6 1984 721 741 (Pubitemid 15453722)
26. A. Getis, and J.K. Ord The analysis of spatial association by use of distance statistics Geographical Analysis 24 3 1992 189 206
27. M. Ghosh, K. Natarajan, L.A. Waller, and D. Kim Hierarchical bayes glms for the analysis of spatial data: an application to disease mapping Journal of Statistical Planning and Inference 75 2 1999 305 318
28. W.R. Gilks, S. Richardson, and D.J. Spiegelhalter Markov Chain Monte Carlo in Practice 1998 Chapman & Hall Boca Raton, Fla
29. M.F. Goodchild Spatial Autocorrelation 1986 Geo Books Norwich
30. F. Guo, X.S. Wang, and M.A. Abdel-Aty Modeling signalized intersection safety with corridor-level spatial correlations Accident Analysis and Prevention 42 1 2010 84 92
31. H. Huang, and M. Abdel-Aty Multilevel data and bayesian analysis in traffic safety Accident Analysis and Prevention 42 6 2010 1556 1565
32. C.B. Hutchings, S. Knight, and J.C. Reading The use of generalized estimating equations in the analysis of motor vehicle crash data Accident Analysis and Prevention 35 1 2003 3 8 (Pubitemid 35460062)
33. A.P. Jones, and S.H. Jorgensen The use of multilevel models for the prediction of road accident outcomes Accident Analysis and Prevention 35 1 2003 59 69 (Pubitemid 35460067)
34. B. Jones, L. Janssen, and F. Mannering Analysis of the frequency and duration of freeway accidents in seattle Accident Analysis and Prevention 23 4 1991 239 255
35. S.C. Joshua, and N.J. Garber Estimating truck accident rate and involvements using linear and poisson regression models Transportation Planning and Technology 15 1 1990 41 58
36. D.G. Kim, Y. Lee, S. Washington, and K. Choi Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models Accident Analysis and Prevention 39 1 2007 125 134 (Pubitemid 44633824)
37. E. Lenguerrand, J.L. Martin, and B. Laumon Modelling the hierarchical structure of road crash data - application to severity analysis Accident Analysis and Prevention 38 1 2006 43 53 (Pubitemid 41562297)
38. D. Lord, and B.N. Persaud Accident prediction models with and without trend: application of the generalized estimating equations procedure Transportation Research Record 1717 2000 102 108 (Pubitemid 32790883)
39. D.J. Lunn, A. Thomas, N. Best, and D. Spiegelhalter Winbugs - a bayesian modelling framework: concepts, structure, and extensibility Statistics and Computing 10 4 2000 325 337
40. M.J. Maher, and I. Summersgill A comprehensive methodology for the fitting of predictive accident models Accident Analysis and Prevention 28 3 1996 281 296 (Pubitemid 126372950)
41. F.L. Mannering, and C.R. Bhat Analytic methods in accident research: methodological frontier and future directions Analytic Methods in Accident Research 1 2014 1 22
42. S.P. Miaou The relationship between truck accidents and geometric design of road sections - poisson versus negative binomial regressions Accident Analysis and Prevention 26 4 1994 471 482
43. S.P. Miaou, and H. Lum Modeling vehicle accidents and highway geometric design relationships Accident Analysis and Prevention 25 6 1993 689 709
44. S.P. Miaou, and J.J. Song Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence Accident Analysis and Prevention 37 4 2005 699 720 (Pubitemid 40753442)
45. A. Mitchell The Esri Guide to Gis Analysis, Volume 2: Spatial Mesurements and Statistics 2005 ESRI Press
46. S. Mitra, and S. Washington On the nature of over-dispersion in motor vehicle crash prediction models Accident Analysis and Prevention 39 3 2007 459 468 (Pubitemid 46659827)
47. S. Mitra, and S. Washington On the significance of omitted variables in intersection crash modeling Accident Analysis and Prevention 49 2012 439 448
48. P.A. Moran The interpretation of statistical maps Journal of the Royal Statistical Society. Series B (Methodological) 10 2 1948 243 251
49. S. Narayanamoorthy, R. Paleti, and C.R. Bhat On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level Transportation Research Part B 55 2013 245 264
50. B. Persaud, B. Lan, C. Lyon, and R. Bhim Comparison of empirical bayes and full bayes approaches for before-after road safety evaluations Accident Analysis and Prevention 42 1 2010 38 43
51. M. Poch, and F. Mannering Negative binomial analysis of intersection-accident frequencies Journal of Transportation Engineering 122 2 1996 105 113 (Pubitemid 126593600)
52. V. Shankar, R. Albin, J. Milton, and F. Mannering Evaluating median crossover likelihoods with clustered accident counts: an empirical inquiry using the random effects negative binomial model Transportation Research Record 1635 1998 44 48 (Pubitemid 128553734)
53. J.J. Song, A. Ghosh, S. Miaou, and B. Mallick Bayesian multivariate spatial models for roadway traffic crash mapping Journal of Multivariate Analysis 97 1 2006 246 273 (Pubitemid 41683906)
54. D.J. Spiegelhalter, N.G. Best, B.R. Carlin, and A. Van Der Linde Bayesian measures of model complexity and fit Journal of the Royal Statistical Society Series B - Statistical Methodology 64 2002 583 616
55. N. Venkataraman, V. Shankar, G.F. Ulfarsson, and D. Deptuch A heterogeneity-in-means count model for evaluating the effects of interchange type on heterogeneous influences of interstate geometrics on crash frequencies Analytic Methods in Accident Research 2 2014 12 20
56. N. Venkataraman, G.F. Ulfarsson, and V.N. Shankar Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type Accident Analysis and Prevention 59 2013 309 318
57. N.S. Venkataraman, G.F. Ulfarsson, V. Shankar, J. Oh, and M. Park Model of relationship between interstate crash occurrence and geometrics Transportation Research Record 2236 2011 41 48
58. X. Wang, and M. Abdel-Aty Temporal and spatial analyses of rear-end crashes at signalized intersections Accident Analysis and Prevention 38 6 2006 1137 1150 (Pubitemid 44465831)
59. X. Wang, K. Xie, M. Abdel-Aty, P.J. Tremont, and X. Chen Systematic approach for hazardous-intersection identification and countermeasure development Journal of Transportation Engineering 140 6 2014 04014022
60. K. Xie, X. Wang, H. Huang, and X. Chen Corridor-level signalized intersection safety analysis in Shanghai, China using Bayesian hierarchical models Accident Analysis and Prevention 50 2013 25 33
61. H. Yang, K. Ozbay, O. Ozturk, and M. Yildirimoglu Modeling work zone crash frequency by quantifying measurement errors in work zone length Accident Analysis and Prevention 55 2013 192 201