Stop or go decisions at the onset of yellow light in a connected environment: A hybrid approach of decision tree and panel mixed logit model
Publication date: Available online 23 April 2021Source: Analytic Methods in Accident ResearchAuthor(s): Yasir Ali, Md. Mazharul Haque, Zuduo Zheng, Michiel C.J. Bliemer (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - April 23, 2021 Category: Accident Prevention Source Type: research

Exploring the Effects of Area-Level Factors on Traffic Crash Frequency by Severity using Multivariate Space-Time Models
Publication date: Available online 9 April 2021Source: Analytic Methods in Accident ResearchAuthor(s): Amin Azimian, V. Dimitra Pyrialakou, Steven Lavrenz, Sijin Wen (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - April 10, 2021 Category: Accident Prevention Source Type: research

Temporal analysis of crash severities involving male and female drivers: A random parameters approach with heterogeneity in means and variances
Publication date: June 2021Source: Analytic Methods in Accident Research, Volume 30Author(s): Xintong Yan, Jie He, Changjian Zhang, Ziyang Liu, Chenwei Wang, Boshuai Qiao (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - March 24, 2021 Category: Accident Prevention Source Type: research

Copula-based Joint Modeling of Crash Count and Conflict Risk Measures with Accommodation of Mixed Count-Continuous Margins
Publication date: Available online 18 March 2021Source: Analytic Methods in Accident ResearchAuthor(s): Di Yang, Kun Xie, Kaan Ozbay, Zifeng Zhao, Hong Yang (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - March 20, 2021 Category: Accident Prevention Source Type: research

Temporal analysis of crash severities involving male and female drivers:A random parameters approach with heterogeneity in means and variances
Publication date: Available online 26 February 2021Source: Analytic Methods in Accident ResearchAuthor(s): Xintong Yan, Jie He, Changjian Zhang, Ziyang Liu, Chenwei Wang, Boshuai Qiao (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 27, 2021 Category: Accident Prevention Source Type: research

A correlated random parameters with heterogeneity in means approach of deer-vehicle collisions and resulting injury-severities
Publication date: Available online 25 February 2021Source: Analytic Methods in Accident ResearchAuthor(s): Sheikh Shahriar Ahmed, Jessica Cohen, Panagiotis Ch. Anastasopoulos (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 25, 2021 Category: Accident Prevention Source Type: research

Modeling Accident Risks in Different Lane-Changing Behavioral Patterns
Publication date: Available online 25 February 2021Source: Analytic Methods in Accident ResearchAuthor(s): Qinghong Chen, Helai Huang, Ye Li, Jaeyoung Lee, Kejun Long, Ruifeng Gu, Xiaoqi Zhai (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 25, 2021 Category: Accident Prevention Source Type: research

Comparative analysis of alternative random parameters count data models in highway safety
Publication date: Available online 5 February 2021Source: Analytic Methods in Accident ResearchAuthor(s): Qinzhong Hou, Xiaoyan Huo, Andrew P. Tarko, Junqiang Leng (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 6, 2021 Category: Accident Prevention Source Type: research

Fusion Convolutional Neural Network-based Interpretation of Unobserved Heterogeneous Factors in Driver Injury Severity Outcomes in Single-Vehicle Crashes
Publication date: Available online 1 February 2021Source: Analytic Methods in Accident ResearchAuthor(s): Hao Yu, Zhenning Li, Guohui Zhang, Pan Liu, David T. Ma (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 2, 2021 Category: Accident Prevention Source Type: research

Do High Visibility Crosswalks Improve Pedestrian Safety? A Correlated Grouped Random Parameters Approach Using Naturalistic Driving Study Data
Publication date: Available online 30 December 2020Source: Analytic Methods in Accident ResearchAuthor(s): Sarvani Sonduru Pantangi, Sheikh Shahriar Ahmed, Grigorios Fountas, Kevin Majka, Panagiotis Ch. Anastasopoulos (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - December 31, 2020 Category: Accident Prevention Source Type: research

Multivariate Bayesian hierarchical Gaussian copula modeling of the non-stationary traffic conflict extremes for crash estimation
Publication date: Available online 24 December 2020Source: Analytic Methods in Accident ResearchAuthor(s): Chuanyun Fu, Tarek Sayed (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - December 25, 2020 Category: Accident Prevention Source Type: research

Day-of-the-week variations and temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: a random parameters logit approach with heterogeneity in means and variances
Publication date: Available online 3 December 2020Source: Analytic Methods in Accident ResearchAuthor(s): Yang Li, Li Song, Wei David Fan (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - December 3, 2020 Category: Accident Prevention Source Type: research

A random parameters regional quantile analysis for the varying effect of road-level risk factors on crash rates
Publication date: Available online 1 December 2020Source: Analytic Methods in Accident ResearchAuthor(s): Jinjun Tang, Weiqi Yin, Chunyang Han, Xinyuan Liu, Helai Huang (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - December 1, 2020 Category: Accident Prevention Source Type: research

Editorial Board
Publication date: December 2020Source: Analytic Methods in Accident Research, Volume 28Author(s): (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - November 20, 2020 Category: Accident Prevention Source Type: research

Temporal stability of driver injury severity in single-vehicle roadway departure crashes: A random thresholds random parameters hierarchical ordered probit approach
Publication date: Available online 14 November 2020Source: Analytic Methods in Accident ResearchAuthor(s): Miao Yu, Changxi Ma, Jinxing Shen (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - November 15, 2020 Category: Accident Prevention Source Type: research

Hazard-based duration analysis of the time between motorcyclists’ initial training and their first crash
Publication date: Available online 5 November 2020Source: Analytic Methods in Accident ResearchAuthor(s): Suryaprasanna Kumar Balusu, Fred Mannering, Abdul Pinjari (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - November 5, 2020 Category: Accident Prevention Source Type: research

Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions
Publication date: Available online 5 November 2020Source: Analytic Methods in Accident ResearchAuthor(s): Lai Zheng, Tarek Sayed, Fred Mannering (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - November 5, 2020 Category: Accident Prevention Source Type: research

The Influence of Traffic, Geometric And Context Variables on Urban Crash Types: A Grouped Random Parameter Multinomial Logit Approach
Publication date: Available online 22 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Paolo Intini, Nicola Berloco, Achille Fonzone, Grigorios Fountas, Vittorio Ranieri (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 23, 2020 Category: Accident Prevention Source Type: research

Investigating Personalized Exit Choice Behavior in Fire Accidents Using the Hierarchical Bayes Estimator of the Random Coefficient Logit Model
Publication date: Available online 23 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Xiang Ben Song, Ruggiero Lovreglio (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 23, 2020 Category: Accident Prevention Source Type: research

Developing Multivariate Time Series Models to Examine the Interrelations between Police Enforcement, Traffic Violations, and Traffic Crashes
Publication date: Available online 21 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Mingjie Feng, Xuesong Wang, Mohammed Quddus (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 21, 2020 Category: Accident Prevention Source Type: research

Detecting, analysing, and modelling failed lane-changing attempts in traditional and connected environments
Publication date: Available online 20 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Yasir Ali, Zuduo Zheng, Md. Mazharul Haque, Mehmet Yildirimoglu, Simon Washington (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 20, 2020 Category: Accident Prevention Source Type: research

Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: insights from different hierarchical Bayesian random-effects models
Publication date: Available online 20 October 2020Source: Analytic Methods in Accident ResearchAuthor(s): Li Song, Yang Li, Wei David Fan, Peijie Wu (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - October 20, 2020 Category: Accident Prevention Source Type: research

The relationship between driving volatility in time to collision and crash-injury severity in a naturalistic driving environment
Publication date: Available online 17 September 2020Source: Analytic Methods in Accident ResearchAuthor(s): Behram Wali, Asad J. Khattak, Thomas Karnowski (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - September 18, 2020 Category: Accident Prevention Source Type: research

Multivariate Bayesian Hierarchical Modeling of the Non-Stationary Traffic Conflict Extremes for Crash Estimation
Publication date: Available online 1 September 2020Source: Analytic Methods in Accident ResearchAuthor(s): Chuanyun Fu, Tarek Sayed, Lai Zheng (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - September 2, 2020 Category: Accident Prevention Source Type: research

Analysis of Safety Benefits and Security Concerns from the Use of Autonomous Vehicles: A Grouped Random Parameters Bivariate Probit Approach with Heterogeneity in Means
Publication date: Available online 29 August 2020Source: Analytic Methods in Accident ResearchAuthor(s): Sheikh Shahriar Ahmed, Sarvani Sonduru Pantangi, Ugur Eker, Grigorios Fountas, Stephen E. Still, Panagiotis Ch. Anastasopoulos (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - August 29, 2020 Category: Accident Prevention Source Type: research

Deriving metrics of driving comfort for autonomous vehicles: A dynamic latent variable model of speed choice
Publication date: Available online 3 August 2020Source: Analytic Methods in Accident ResearchAuthor(s): Evangelos Paschalidis, Foroogh Hajiseyedjavadi, Chongfeng Wei, Albert Solernou Crusat, A. Hamish Jamson, Natasha Merat, Richard Romano, Erwin R. Boer (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - August 4, 2020 Category: Accident Prevention Source Type: research

Modeling of Incident Type and Incident Duration Using Data from Multiple Years
Publication date: Available online 23 June 2020Source: Analytic Methods in Accident ResearchAuthor(s): Sudipta Dey, Tirtha Shamsunnahar Yasmin, Naveen Eluru (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - June 23, 2020 Category: Accident Prevention Source Type: research

Multi-State Semi-Markov Modeling of Recurrent Events: Estimating Driver Waiting Time at Semi-Controlled Crosswalks
Publication date: Available online 16 June 2020Source: Analytic Methods in Accident ResearchAuthor(s): Yunchang Zhang, Jon D. Fricker (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - June 17, 2020 Category: Accident Prevention Source Type: research

Unobserved Heterogeneity and Temporal Instability in the Analysis of Work-Zone Crash-Injury Severities
Publication date: Available online 10 June 2020Source: Analytic Methods in Accident ResearchAuthor(s): Mouyid Islam, Nawaf Alnawmasi, Fred Mannering (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - June 12, 2020 Category: Accident Prevention Source Type: research

A Multivariate Approach For Modeling Driver Injury Severity By Body Region
Publication date: Available online 15 May 2020Source: Analytic Methods in Accident ResearchAuthor(s): Ahmed Kabli, Tanmoy Bhowmik, Naveen Eluru (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - May 16, 2020 Category: Accident Prevention Source Type: research

Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations
Publication date: Available online 2 April 2020Source: Analytic Methods in Accident ResearchAuthor(s): Anshuman Sharma, Zuduo Zheng, Jiwon Kim, Ashish Bhaskar, Mazharul Haque (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - April 3, 2020 Category: Accident Prevention Source Type: research

A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving
Publication date: Available online 1 April 2020Source: Analytic Methods in Accident ResearchAuthor(s): Mouyid Islam, Fred Mannering (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - April 1, 2020 Category: Accident Prevention Source Type: research

Analysis of injury severity of rear-end crashes in work zones: A random parameters approach with heterogeneity in means and variances
Publication date: Available online 23 March 2020Source: Analytic Methods in Accident ResearchAuthor(s): Miao Yu, Changjiang Zheng, Changxi Ma (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - March 24, 2020 Category: Accident Prevention Source Type: research

Hierarchical Bayesian Modeling to Evaluate the Impacts of Intelligent Speed Adaptation Considering Individuals’ Usual Speeding Tendencies: A Correlated Random Parameters Approach
Publication date: Available online 25 February 2020Source: Analytic Methods in Accident ResearchAuthor(s): Kojiro Matsuo, Mitsuru Sugihara, Motohiro Yamazaki, Yasuhiro Mimura, Jia Yang, Komei Kanno, Nao Sugiki (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 26, 2020 Category: Accident Prevention Source Type: research

The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents
Publication date: Available online 26 February 2020Source: Analytic Methods in Accident ResearchAuthor(s): Grigorios Fountas, Achille Fonzone, Niaz Gharavi, Tom Rye (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 26, 2020 Category: Accident Prevention Source Type: research

Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review
Publication date: Available online 24 February 2020Source: Analytic Methods in Accident ResearchAuthor(s): Jinjun Tang, Lanlan Zheng, Chunyang Han, Weiqi Yin, Yue Zhang, Yajie Zou, Helai Huang (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - February 25, 2020 Category: Accident Prevention Source Type: research

A hierarchical Bayesian multivariate ordered model of distracted drivers’ decision to initiate risk-compensating behaviour
This study aims to fill this gap by developing a comprehensive multivariate ordered model in Bayesian framework for risk-compensating behaviour of distracted drivers. The multivariate setting captures the common unobserved factors between multiple types of risk-compensating behaviour. In addition, an instrumental variable is employed to account for the endogeneity between crash risk and driving behaviour. To capture the varying effects of exogenous factors as well as varying propensity of initiating risk-compensating behaviour, the model is specified with grouped random parameters and random thresholds. This model is then ...
Source: Analytic Methods in Accident Research - February 8, 2020 Category: Accident Prevention Source Type: research

Temporal stability of driver injury severities in animal-vehicle collisions: A random parameters with heterogeneity in means (and variances) approach
This study investigates the determinants of driver injury severity in animal-vehicle collisions while systematically accounting for unobserved heterogeneity in the data by using three methodological approaches: mixed logit model, mixed logit model with heterogeneity in means, and mixed logit model with heterogeneity in means and variances. Using the data from Washington state from January 1, 2012 to December 31, 2016, a wide range of factors that could potentially affect the injury severity of drivers were examined. Moreover, the temporal stability and transferability of the models were investigated through a series of lik...
Source: Analytic Methods in Accident Research - February 5, 2020 Category: Accident Prevention Source Type: research

On the causal effect of proximity to school on pedestrian safety at signalized intersections: A heterogeneous endogenous econometric model
Publication date: Available online 28 January 2020Source: Analytic Methods in Accident ResearchAuthor(s): Shahram Heydari, Luis Miranda-Moreno, Adrian J. HickfordAbstractPedestrian safety in proximity to schools is a major concern of transportation authorities, local governments, and residents. In fact, several countermeasures (e.g., school-zone speed limits) are usually in place around schools to provide a safer environment, especially for school-age children. Two questions arise here: (i) are transportation facilities in proximity to schools truly safer than other facilities given a variety of implemented road safety int...
Source: Analytic Methods in Accident Research - January 29, 2020 Category: Accident Prevention Source Type: research

An Exploratory analysis of traffic accidents and vehicle ownership decisions using a random parameters logit model with heterogeneity in means
In this study, we present a methodology that addresses a driver’s decisions pertaining to a damaged car following a traffic accident. The choice set includes three alternatives: to replace the damaged car with a new one, replace the damaged car with a used one, and repair the damaged car. A random parameter (mixed) logit model with heterogeneity in the means is specified and estimated to gain more insight into the driver’s decision-making process following a traffic accident.The estimation results of the random parameter (mixed) logit model with heterogeneity in the means indicate that a wide range of explanato...
Source: Analytic Methods in Accident Research - January 29, 2020 Category: Accident Prevention Source Type: research

Big Data, Traditional Data and the Tradeoffs between Prediction and Causality in Highway-Safety Analysis
Publication date: Available online 25 January 2020Source: Analytic Methods in Accident ResearchAuthor(s): Fred Mannering, Chandra R. Bhat, Venky Shankar, Mohamed Abdel-AtyAbstractThe analysis of highway accident data is largely dominated by traditional statistical methods (standard regression-based approaches), advanced statistical methods (such as models that account for unobserved heterogeneity), and data-driven methods (artificial intelligence, neural networks, machine learning, and so on). These methods have been applied mostly using data from observed crashes, but this can create a problem in uncovering causality sinc...
Source: Analytic Methods in Accident Research - January 25, 2020 Category: Accident Prevention Source Type: research

Incorporating Safety Reliability into Route Choice Model: Heterogeneous Crash Risk Aversions
In this study, a route choice model which accounts for both travelers’ safety concern—route safety reliability—and travel time concern is proposed. Route safety reliability (variability) is defined by the distribution of the travel crash risk cost (CRC) to represent the safety condition of travel routes. We further associate the travel safety variability due to stochastic crash occurrence with travelers’ crash risk aversion route choice behaviors, and postulate that travelers acquire the variability of route travel safety based on the past experience and factor it into their route choice in the form...
Source: Analytic Methods in Accident Research - January 25, 2020 Category: Accident Prevention Source Type: research

Driver Drowsiness Detection Using Mixed-effect Ordered Logit Model Considering Time Cumulative Effect
Publication date: Available online 25 January 2020Source: Analytic Methods in Accident ResearchAuthor(s): Xuxin Zhang, Xuesong Wang, Xiaohan Yang, Chuan Xu, Xiaohui Zhu, Jiaohua WeiAbstractDrowsy driving is one of the main causes of traffic crashes, a serious threat to road traffic safety. The effective early detection of a drowsiness state can help provide a timely warning for drivers, but previous studies have seldom considered the cumulative effect of drowsiness over time. The purpose of this study is therefore to establish a model to detect a driver's drowsiness level by considering individual differences combined with...
Source: Analytic Methods in Accident Research - January 25, 2020 Category: Accident Prevention Source Type: research

A Bivariate Bayesian Hierarchical Extreme Value Model for Traffic Conflict-based Crash Estimation
Publication date: Available online 22 January 2020Source: Analytic Methods in Accident ResearchAuthor(s): Lai Zheng, Tarek SayedAbstractThere are two main issues associated with traffic conflict-based crash estimation. First, there are several conflict indicators which were shown to inherently represent partial severity aspects of traffic events. Therefore, combining more than one conflict indicator can result in more comprehensive understanding on the underlying level of safety. Second, the conflict extremes characterized by the indicators, which are most related to crashes, are rare and heterogeneous in nature. These iss...
Source: Analytic Methods in Accident Research - January 22, 2020 Category: Accident Prevention Source Type: research

Hourly associations between weather factors and traffic crashes: non-linear and lag effects
In this study, we propose a novel distributed lag non-linear model (DLNM), integrated with case-crossover design, to evaluate the lag effect of weather on crash incidence. The proposed modelling framework could describe the non-linear relationship between weather and crash and the lag effects. Also, the possible over-dispersion and autocorrelation of the time-series weather and crash data can be controlled for. The model was estimated using an integrated meteorological, traffic and crash dataset in Hong Kong. For instances, high resolution data on temperature, humidity, rain intensity and wind speed in 1-hour interval was ...
Source: Analytic Methods in Accident Research - November 9, 2019 Category: Accident Prevention Source Type: research

A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence
This study provided an insightful understanding of the time-varying effects of the significant factors on driver injury severity using marginal effect analysis, and the temporal indicators in the proposed model were found to enhance the model capability of temporal variation identification. (Source: Analytic Methods in Accident Research)
Source: Analytic Methods in Accident Research - November 9, 2019 Category: Accident Prevention Source Type: research

Do We Need Multivariate Modeling Approaches to Model Crash Frequency by Crash Types? A Panel Mixed Approach to Modeling Crash Frequency by Crash Types
Publication date: Available online 31 October 2019Source: Analytic Methods in Accident ResearchAuthor(s): Tanmoy Bhowmik, Shamsunnahar Yasmin, Naveen EluruAbstractIn safety literature, simulation-based multivariate framework is the most commonly employed approach for analyzing multiple crash frequency dependent variables. The current research effort contributes to literature on crash frequency analysis by suggesting an alternative and mathematically simpler approach for analyzing multiple crash frequency variables for the same study unit. The proposed recasts a multivariate distributional problem as a repeated measure univ...
Source: Analytic Methods in Accident Research - October 31, 2019 Category: Accident Prevention Source Type: research

Bayesian hierarchical modeling of traffic conflict extremes for crash estimation: A non-stationary peak over threshold approach
This study presents a Bayesian hierarchical model to estimate crashes from traffic conflict extremes in a non-stationary context. The model combines a peak over threshold approach with non-stationary thresholds in terms of regression quantiles and covariate-dependent parameters of the generalized Pareto distribution. The developed model was applied to estimate rear-end crashes from traffic conflicts of the same type collected from four signalized intersections. The conflicts were measured by the modified time to collision (MTTC) and traffic volume, shock wave area, average shock wave speed, and platoon ratio of each signal...
Source: Analytic Methods in Accident Research - October 18, 2019 Category: Accident Prevention Source Type: research

Bayesian hierarchical modeling traffic conflict extremes for crash estimation: A non-stationary peak over threshold approach
This study presents a Bayesian hierarchical model to estimate crashes from traffic conflict extremes in a non-stationary context. The model combines a peak over threshold approach with non-stationary thresholds in terms of regression quantiles and covariate-dependent parameters of the generalized Pareto distribution. The developed model was applied to estimate rear-end crashes from traffic conflicts of the same type collected from four signalized intersections. The conflicts were measured by the modified time to collision (MTTC) and traffic volume, shock wave area, average shock wave speed, and platoon ratio of each signal...
Source: Analytic Methods in Accident Research - October 2, 2019 Category: Accident Prevention Source Type: research

Modeling unobserved heterogeneity for zonal crash frequencies: a Bayesian multivariate random-parameters model with mixture components for spatially correlated data
This study applies mixture components in a multivariate random parameters spatial model for zonal crash counts. Three different modeling formulations are employed to demonstrate the effects of mixture components and spatial heterogeneity in the goodness-of-fit in a multivariate random parameter model. The models are built for injury (i.e., possible, non-incapacitating, incapacitating, and fatal injury) and non-injury crashes using the data from 738 traffic analysis zones (TAZs) in Hillsborough County of Florida during a three-year period. The Deviance Information Criteria (DIC) is used to evaluate the performances of these...
Source: Analytic Methods in Accident Research - September 12, 2019 Category: Accident Prevention Source Type: research