Journal of Transportation Technologies

Journal of Transportation Technologies

ISSN Print: 2160-0473
ISSN Online: 2160-0481
www.scirp.net/journal/jtts
E-mail: [email protected]
"Crash Severity Analysis of Single Vehicle Run-off-Road Crashes"
written by Sunanda Dissanayake, Uttara Roy,
published by Journal of Transportation Technologies, Vol.4 No.1, 2014
has been cited by the following article(s):
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[1] Comprehensive analytics on run-off-road crashes: Relevant critical factors and countermeasures
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[2] Temporal instability and differences in injury severity between restrained and unrestrained drivers in speeding-related crashes
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[3] Severity analysis of single-vehicle left and right run-off-road crashes using a random parameter ordered logit model
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[4] Spatial analysis of moving-vehicle crashes and fixed-object crashes based on multi-scale geographically weighted regression
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[5] Empirical examination of interdependent relationship between usage of seatbelt restraint system and driver-injury severity of single-vehicle crashes in Thailand using …
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[6] Effects of design consistency measures and roadside hazard types on run-off-road crash severity: application of random parameters hierarchical ordered …
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[7] Traffic fatalities and urban infrastructure: a spatial variability study using geographically weighted Poisson regression applied in Cali (Colombia)
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[8] Model Construction and Simulation Analysis of Vehicle Collision on Steep Road Section in Mountainous Area
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[9] Investigating changes in trends of traffic crashes due to COVID-19 Pandemic in Florida's freeways
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[10] Effects of Pavement Friction and Geometry on Traffic Crash Frequencies: A Case Study in Wyoming
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[11] Factors related to severe single-vehicle tree crashes: In-depth crash study
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[12] Prediction model of crash severity in imbalanced dataset using data leveling methods and metaheuristic optimization algorithms
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[13] Influence of Built Environment on Pedestrian Crashes: A Case Study of Miami-Dade County
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[14] Exploring the determinants of school bus crash severity
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[15] Study of Single-Vehicle Traffic Crashes
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[16] Investigating trends and characteristics of animal-vehicle crashes in Wyoming
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[17] Verification of usRAP risk assessments for run-off and head-on crashes using field data
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[18] Severity Analysis of Large Truck Crashes-Comparision Between the Regression Modeling Methods with Machine Learning Methods
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[19] Applying interpretable machine learning to classify tree and utility pole related crash injury types
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[20] Variable categories influencing single-vehicle run-off-road crashes and their severity
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[21] Hierarchical binary logit model to compare driver injury severity in single-vehicle crash based on age-groups
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[22] Guidelines for Installing Pedestrian Treatments at Midblock Locations
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[23] Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina
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[24] Understanding crashes involving roadway objects with SHRP 2 naturalistic driving study data
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[25] A copula-based approach for jointly modeling crash severity and number of vehicles involved in express bus crashes on expressways considering temporal stability of …
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[26] Modeling severity of motorcycle crashes with Dirichlet process priors
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[27] Risk Factors Affecting Driver Severity of Single-Vehicle Run Off Road Crash for Thailand Highway
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[28] Analyzing injury severity of rear-end crashes involving large trucks using a mixed logit model: A case study in North Carolina
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[29] A comparison between artificial neural network and hybrid intelligent genetic algorithm in predicting the severity of fixed object crashes among elderly drivers
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[30] A Comprehensive Review on Risk Factors Affecting the Crash Severity
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[31] Modeling head-on crash severity with drivers under the influence of alcohol or drugs (DUI) and non-DUI
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[32] Comparison of Machine Learning Algorithms for Predicting Traffic Accident Severity
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[33] Bimolecular fusion of [Pd 3 (μ-CN-C 6 H 3 Me 2-2, 6) 3 (CN-C 6 H 3 Me 2-2, 6) 3] induced by Ph 2 GeH 2: formation of the redox-active Pd 6 Ge 2 complex
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[34] Severity analysis of tree and utility pole crashes: Applying fast and frugal heuristics
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[35] Incorporating travel time reliability in predicting the likelihood of severe crashes on arterial highways using non-parametric random-effect regression
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[36] Analysis of head-on crash injury severity using a partial proportional odds model
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[37] Modeling head-on crash severity on NCDOT freeways: a mixed logit model approach
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[38] Traffic Safety Benefit of A Lane Departure Warning System
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[39] Design and experiment verification of a novel analysis framework for recognition of driver injury patterns: from a multi-class classification perspective
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[40] Understanding Fixed Object Crashes with SHRP2 Naturalistic Driving Study Data
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[41] Modeling Unobserved Heterogeneity and the Injury Severities of Truck Drivers in Run-Off-Road (ROR) Crashes: Econometric Methods and Applications
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[42] Definition of run-off-road crash clusters—For safety benefit estimation and driver assistance development
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[43] Review of crash prediction models and their applicability in black spot identification to improve road safety
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[44] Effectiveness of Experimental Left-Turn Sign Usage in Terms of Crashes and Analyzing Severity of Left Turn Crashes in Alaska
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[45] Likelihood estimation of secondary crashes using Bayesian complementary log-log model
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[46] Safety Evaluation of Alternative Audible Lane Departure Warning Treatments in Reducing Traffic Crashes: An Empirical Bayes Observational Before–After Study
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[47] Exploratory analysis of run-off-road crash patterns
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[48] Safety Analysis Considering the Impactof Travel Time Reliability on Elderly Drivers
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[49] Factors associated with crashes due to overcorrection or oversteering of vehicles
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[50] Investigating Factors Affecting the Occurrence and Severity of Rear-End Crashes
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[51] Safety Analysis Considering the Impact of Travel Time Reliability on Elderly Drivers
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[52] Analysis of the Severity of Large Truck Crashes Using the Ordered Probit Model
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[53] Modeling severity of single vehicle run-off-road crashes in rural areas: model comparison and selection
Canadian Journal of Civil Engineering, 2016
[54] Analysis of driver injury severity in single-vehicle crashes on rural and urban roadways
Accident Analysis & Prevention, 2016
[55] Factors influencing road accidents in Sri Lanka: a logistic regression approach
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[56] Roadside Features in Crash Prediction Models: Data Collection and Evaluation
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[57] Assessment of the Psychosocial Behavior Associated with Elderly Drivers to Reduce Their Involvement in Crashes
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[58] 以機車事故發生過程構建風險矩陣之研究
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[59] Examining the differences between contributing factors affecting 2 the severity of Single and Multi-Vehicle Crashes 3
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[60] Examining the Factors Affecting the Severity of Run-off-Road Crashes in Abu Dhabi
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[61] 山区高速公路交通死亡事故显著影响因素鉴别
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[62] Examining the differences between contributing factors affecting the severity of single and multi-vehicle Crashes
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[63] Characteristics of serious crashes at signalized intersections In Abu Dhabi City, UAE
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