Analysis of the Contributory Factors to Accidents at Signalized Intersections using Generalized Estimating Equation with Negative Binomial Distribution

Authors

  • Nasreen A. Hussein Department of Civil Engineering, College of Engineering, University of Duhok-Duhok, Kurdistan Region, Iraq
  • Rayya Hassan Department of Civil and Construction Engineering, Swinburne University of Technology, Victoria, 3122, Australia

DOI:

https://doi.org/10.21271/ZJPAS.35.2.4

Keywords:

Signalized intersections, Accidents, Geometric characteristics, Driver behaviour, Generalized estimating equation.

Abstract

Ensuring safety on roadways and controlling conflicting and merging streams of traffic at signalized intersections has become a major concern for transportation engineers and road users globally and locally. Many factors contribute to accident occurrence at road segments and intersections with driver behavior being the major contributor.  Other factors include those related to the vehicle and the road. The primary aim of this study is to understand the impact of different factors causing traffic accidents at signalized intersections.  It also include developing a descriptive study of traffic accident data to show the variation with different factors at both intersections and roadway segments. To achieve this objectives, 22 signalized intersections and all roadways in Duhok city/Iraq were selected.  Assessing the effects of geometric characteristics and driver behavior on safety performance of the sites have been achieved through observations of trends from graphs and use of appropriate advanced statistical analysis such as Generalized Estimating Equation (GEE) with NB distribution and log link function.  The results show that approach width, driver inattention, red light running and surface moisture condition are the significant contributors to accident occurrence. The study results highlight the importance of driver education, police enforcement and appropriate geometric design of intersections to the reduction of accident occurrence.

 

References

ABDEL-ATY, M. & WANG, X. 2006. Crash estimation at signalized intersections along corridors: analyzing spatial effect and identifying significant factors. Transportation Research Record, 1953, 98-111.

AL-ATAWI, A. M. 2014. Characteristics of red light running violations in urban areas in Tabuk, Kingdom of Saudi Arabia. IATSS research, 37, 119-123.

AL-REESI, H., GANGULY, S. S., AL-ADAWI, S., LAFLAMME, L., HASSELBERG, M. & AL-MANIRI, A. 2013. Economic growth, motorization, and road traffic injuries in the Sultanate of Oman, 1985–2009. Traffic injury prevention, 14, 322-328.

ALGHAFLI, A., MOHAMAD, E. & AHMED, A. Z. 2021. The effect of geometric road conditions on safety performance of Abu Dhabi road intersections. Safety, 7, 73.

BAGULEY, C. 1988. 'Running the red'at signals on high-speed roads. Traffic engineering and control, 29, 415-420.

CHIN, H. C. & QUDDUS, M. A. 2003. Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections. accident analysis & prevention, 35, 253-259.

DONG, C., CLARKE, D. B., YAN, X., KHATTAK, A. & HUANG, B. 2014. Multivariate random-parameters zero-inflated negative binomial regression model: An application to estimate crash frequencies at intersections. Accident Analysis & Prevention, 70, 320-329.

DONNELL, E. T., PORTER, R. J. & SHANKAR, V. N. 2010. A framework for estimating the safety effects of roadway lighting at intersections. Safety science, 48, 1436-1444.

FINCH, D., KOMPFNER, P., LOCKWOOD, C. & MAYCOCK, G. 1994. Speed, speed limits and accidents. TRL project report.

FITZPATRICK, K., SCHNEIDER IV, W. H. & PARK, E. S. 2006. Operation and safety of right-turn lane designs. Transportation research record, 1961, 55-64.

FRAWLEY, W. E. & EISELE, W. L. 2004. Investigation of access point density and raised medians: Crash analysis and micro-simulation.

HILBE, J. M. 2011. Negative binomial regression, Cambridge University Press.

KAMYAB, A. 2000. Red light running in Iowa: the scope, impact, and possible implications.

KEAY, K. & SIMMONDS, I. 2005. The association of rainfall and other weather variables with road traffic volume in Melbourne, Australia. Accident analysis & prevention, 37, 109-124.

KLAUER, C., DINGUS, T. A., NEALE, V. L., SUDWEEKS, J. D. & RAMSEY, D. J. 2006. The impact of driver inattention on near-crash/crash risk: An analysis using the 100-car naturalistic driving study data.

LIANG, K.-Y. & ZEGER, S. L. 1986. Longitudinal data analysis using generalized linear models. Biometrika, 73, 13-22.

MCDONALD, J. W. 1953. Relation between number of accidents and traffic volume at divided-highway intersections. Highway Research Board Bulletin, 74, 7-17.

MILTON, J. & MANNERING, F. 1998. The relationship among highway geometrics, traffic-related elements and motor-vehicle accident frequencies. Transportation, 25, 395-413.

OGDEN, K., NEWSTEAD, S., RYAN, P. & GANTZER, S. 1994. Factors affecting crashes at signalised intersections. Monash University Accident Research Center Report.

OTHMAN, S., THOMSON, R. & LANNÉR, G. Identifying critical road geometry parameters affecting crash rate and crash type. Annals of advances in automotive medicine/annual scientific conference, 2009. Association for the Advancement of Automotive Medicine, 155.

PERSAUD, B., LORD, D. & PALMISANO, J. 2002. Calibration and transferability of accident prediction models for urban intersections. Transportation Research Record, 1784, 57-64.

RETALLACK, A. E. & OSTENDORF, B. 2020. Relationship between traffic volume and accident frequency at intersections. International journal of environmental research and public health, 17, 1393.

SAWALHA, Z. & SAYED, T. Statistical issues in traffic accident modeling. 82 nd Annual Meeting of the Transportation Research Board, 2003.

SCHATTLER, K. L. & DATTA, T. K. 2004. Driver behavior characteristics at urban signalized intersections. Transportation research record, 1862, 17-23.

SHAMS, Z., NADERI, H. & NASSIRI, H. 2021. Assessing the effect of inattention-related error and anger in driving on road accidents among Iranian heavy vehicle drivers. IATSS research, 45, 210-217.

TREAT, J., TUMBAS, N., MCDONALD, S., SHINAR, D. & HUME, R. 1979. Tri-level study of the causes of traffic accidents. executive summary.

TURNER, S., SINGH, R. & NATES, G. 2012. Crash prediction models for signalised intersections: Signal phasing and geometry.

WANG, X. & ABDEL-ATY, M. 2006. Temporal and spatial analyses of rear-end crashes at signalized intersections. Accident Analysis & Prevention, 38, 1137-1150.

YAN, X., RADWAN, E. & ABDEL-ATY, M. 2005. Characteristics of rear-end accidents at signalized intersections using multiple logistic regression model. Accident Analysis & Prevention, 37, 983-995.

Published

2023-04-20

How to Cite

Nasreen A. Hussein, & Hassan, R. (2023). Analysis of the Contributory Factors to Accidents at Signalized Intersections using Generalized Estimating Equation with Negative Binomial Distribution. Zanco Journal of Pure and Applied Sciences, 35(2), 29–40. https://doi.org/10.21271/ZJPAS.35.2.4

Issue

Section

Mathematics, Physics and Geological Sciences