Análise de variações temporais na estimação de acidentes em segmentos arteriais urbanos

Authors

  • Lucas Tito Pereira Sobreira Universidade Federal do Ceará
  • Flávio José Craveiro Cunto Universidade Federal do Ceará

DOI:

https://doi.org/10.14295/transportes.v22i3.818

Keywords:

Safety performance functions. Accident predicting models. Generalized estimating equations. Road safety.

Abstract

Accident Prediction Models (APM) have emerged as a statistical tool with the potential to improve road safety studies. The use of time series of traffic accidents in the calibration of APM introduces a temporal correlation between observations of the same entity representing an additional source of bias to the modeling process. This study evaluates the effect of temporal trends in the development of APM for urban arterial segments in Fortaleza. APM were developed from generalized linear models (GLM) and generalized estimating equations (GEE) for a sample of 283 segments with the total number of accidents for the years 2007 to 2011 assuming various structures of temporal correlation. The results do not support the hypothesis of temporal trends in the sample, however, however, the GLM developed with individual coefficients for each year outperformed the temporally aggregated models.

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References

Ballinger, G. A. (2004) Using generalized estimating equations for longitudinal data analysis. Organizational Research Methods, v. 7, p. 127-150. DOI: 10.1177/1094428104263672

Bonneson, J. A. e McCoy, P. T. (1993) Estimation of safe-ty at two-way stop-controlled intersections on rural high-ways. Transportation Research Record, No. 1401, TRB, Washington, D.C., p. 83-99.

Cardoso, G. e Goldner, L. (2007) Desenvolvimento e aplicação de modelos para previsão de acidentes de trânsito. Transportes, v.XV, p.43-51.

Claude, G. F. M. (2012) Previsão da ocorrência de aci-dentes de trânsito em interseções de vias arteriais urba-nas – O caso de Taguatinga/DF. Dissertação de Mestra-do.

Cunto, F. J. C., Neto, M. M. de C. e Barreira, D. S. (2011) Modelos de previsão de acidentes de trânsito em inter-seções semaforizadas de Fortaleza. ANPET, 2011.

Davis, G. A. (2004) Possible Aggregation Biases in Road Safety Research and a Mechanism Approach to Accident Modeling. Accident Analysis and Prevention, v. 36, p. 1119-1127. DOI: 10.1016/j.aap.2004.04.002

Fitzmaurice, G. M., Laird, N. M. e Rotnitzky, A. (1993). Regression models for discrete longitudinal responses. Statistical Science, vol. 8, 284-309. DOI: 10.1214/ss/1177010899

Geedipally, S. R. e Lord, D. (2010) Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson-gama models. Accidents Analysis and Prevention, v. 42, p. 1273-1282. DOI: 10.1016/j.aap.2010.02.004

Greibe, P. (2003) Accident prediction models for urban roads. Accident Analysis and Prevention, v.35,p.273-285. DOI: 10.1016/S0001-4575(02)00005-2

Hauer, E. (2002) Observational Before-after Studies in Road Safety. (1a ed.). Pergamon.

Hauer, E. e Bamfo, F. (1997) Two tools for finding what function links the dependent variable to the explanatory variables. ICTCT Conference, Lund, Sweden. Proceed-ings of ICTCT 97.

Lord, D., Persaud, B. N. (2004) Estimating the safety performance of urban transportation networks. Accidents Analysis and Prevention, v. 36, p. 609-620. DOI: 10.1016/S0001-4575(03)00069-1

Lord, D. e Persaud, B.N. (2000) Application of the gener-alized estimating equations procedure. Transportation Research Record: Journal of the Transportation Research Board, No. 1717, TRB, National Research Coun-cil, Washington, D.C., p. 102-108. DOI: 10.3141/1717-13

Mountain, L., Maher, M. e Fawaz, B. (1998) The Influence of Trend on Estimates of Accidents at Junctions. Accident Analysis and Prevention, v.30,p.641-649, 1998. DOI: 10.1016/S0001-4575(98)00009-8

Oliveira, M. V. (2004) A Natureza dos Padrões de Varia-ção Espaço-temporal do Volume Veicular em Ambiente Urbano: Estudo de Caso em Fortaleza. Dissertação de Mestrado. Programa de Pós-graduação em Engenharia de Transportes – PETRAN. Universidade Federal do Ceará, Fortaleza.

Pan, W. (2001) Akaike’s information criteria in general-ized estimating equations. Biometrics, v. 57, p. 120-125.

Persaud, B., Lord, D. e Palmisano, J. (2002) Calibration and transferability of accident prediction models for urban intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 1784, pp. 57–64, TRB, National Research Council, Washington, D.C., 2002. DOI: 10.3141/1784-08

Persaud, B. e Mucsi, K. (1995) Microscopic accident potential models for two-lane rural roads. Transportation Research Record: Journal of the Transportation Re-search Board, No. 1485, p. 134-139.

Sawalha, Z. e Sayed, T.(2001) Evaluating safety of urban arterial roadways. Journal of Transportation Engineering. v.127, n.2, p. 151-158. DOI: 10.1061/(ASCE)0733-947X(2001)127:2(151)

Tarko, T. (2006) Calibration of Safety Prediction Models for Planning Transportation Networks. In Transportation Research Record: Journal of the Transportation Re-search Board, No. 1950, pp 83-91, TRB, National Re-search Council, Washington, D.C., 2002. DOI: 10.3141/1950-10

Zeger, S. L. e Liang, K. Y. (1986) Longitudinal data analy-sis for discrete and continuous outcomes. Biometrics, v. 42, p. 121-130. DOI: 10.2307/2531248

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Published

2014-11-25

How to Cite

Sobreira, L. T. P., & Cunto, F. J. C. (2014). Análise de variações temporais na estimação de acidentes em segmentos arteriais urbanos. Transportes, 22(3), 128–137. https://doi.org/10.14295/transportes.v22i3.818

Issue

Vol. 22 No. 3 (2014)

Section

Artigos convidados do congresso da ANPET

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