Effect of pavement condition and geometrics at signalised intersections on casualty crashes |
| |
| Institution: | 1. Department of Civil and Construction Engineering, Swinburne University of Technology, Victoria, 3122, Australia and University of Duhok, College of Engineering, Civil Department, Kurdistan Region Iraq;2. Department of Health Science and Biostatistics, Swinburne University of Technology, Victoria 3122, Australia;3. Department of Health Science and Biostatistics, Swinburne University of Technology, Victoria, 3122, Australia;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. Applied Statistics, School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA;3. Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208 USA;1. College of Engineering, Civil Engineering Department University of Wasit, Kut, Iraq;2. Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall, West Lafayette, IN 47907-2051, USA;1. Transportation Research Institute, Technion – Israel Institute of Technology, Haifa, Israel;2. Technion Statistical Laboratory, Technion – Israel Institute of Technology, Haifa, Israel;1. Center for Transportation Research, The University of Tennessee, 600 Henley Street, Knoxville, TN 37996, USA;2. Department of Civil & Environmental Engineering, The University of Tennessee, 72 Perkins Hall, Knoxville, TN 37996, USA |
| |
| Abstract: | IntroductionThis study investigated the effects of pavement surface condition and other control factors on casualty crashes at signalized intersections. It involved conducting a before and after study for road surface condition and situational factors. It also included assessing the effects of geometric characteristics on safety performance of signalized intersections post resurfacing to control for the effect of pavement surface condition. Pavement surface condition included roughness, rutting, and skid resistance. The control factors included traffic volume, light and surface moisture condition, and speed limit. The geometric characteristics included approach width, number of lanes, intersection depth, presence of median, presence of shared lane, and presence of bus stop.MethodTo account for the repeated observations of the effect of light and surface moisture conditions in four occasions (day-dry, day-wet, night-dry and night-wet) Generalized Estimating Equation (GEE) with Negative Binomial (NB) and log link function was applied. For each signalized intersection in the sample, condition data are collected for the year before and after the year of surface treatment. Crash data, however, are collected for a minimum of three and maximum of five years before and after treatment years.ResultsThe results show that before treatment, light condition, road surface moisture condition, and skid resistance interaction with traffic volume are the significant contributors to crash occurrence. For after treatment; light condition, road surface moisture condition, their interaction product, and roughness interaction with light condition, surface moisture condition, and traffic volume are the significant contributors. The geometric variables that were found to have significant effects on crash frequency post resurfacing were approach width interactions with presence of shared lane, bus stop, or median.ConclusionsThe findings confirm that resurfacing is significant in reducing crash frequency and severity levels.Practical Applications: The study findings would help for better understanding of how geometric characteristics can be improved to reduce crash occurrence. |
| |
| Keywords: | Signalised intersections Casualty crashes Generalised Estimating Equation Pavement condition Geometric characteristics |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
