TRB 2018 Session Information
Statistical Methods in Transportation (Event 243)
Monday, January 8, 2018 8:00AM - 9:45AM, Convention Center, Hall E
Poster Session
Md Mazharul (Shimul) Haque, Queensland University of Technology, presiding
Sponsored By:
Standing Committee on Statistical Methods (ABJ80)
Presentations
Gas Dynamic Analogous Exposure Approach to Interaction Intensity in Modeling Multiple-Vehicle Crash Frequency: A Case Study of Crashes Involving Taxis
Fanyu Meng, University of Hong Kong
Wai Wong, University of Hong Kong
S.C. Wong, University of Hong Kong
Xin Pei
Yuen Chong Li, University of Hong Kong
Helai Huang, Central South University
A Full Bayes Approach to Road Safety Hotspot Identification with Prediction Validation
Lee Fawcett, Newcastle University
Joe Matthews, Newcastle University
Neil Thorpe, PTV Group
Karsten Kremer
A Multivariate Panel Copula-Based Count Model to Examine Intertemporal- and Intercrash-Type Correlations
Ghasak Mothafer, Nagoya University
Toshiyuki Yamamoto, Nagoya University
Venkataraman Shankar, Texas Tech University
Application of Dynamic (Time-Series) Artificial Neural Network Approach to Develop Collision Prediction Models: A Case Study in City of Kelowna, Canada
Gordon Lovegrove, University of British Columbia
Farhad Faghihi, No Organization
Development of a Random Parameters Negative Binomial–Lindley Generalized Linear Model to Analyze Highly Overdispersed Crash Data
Mohammad Razaur Shaon, University of Wisconsin, Milwaukee
Xiao Qin, University of Wisconsin, Milwaukee
Mohammadali Shirazi, Texas A&M University
Dominique Lord, Texas A&M Transportation Institute
Srinivas Geedipally, Texas A&M Transportation Institute
Characteristics-Based Heuristics to Select a Logical Distribution Between the Poisson Gamma and the Poisson Lognormal for Crash Data Modeling
Mohammadali Shirazi, Texas A&M University
Dominique Lord, Texas A&M Transportation Institute
Comparing Latent Variable Approach with Observation Removal and Imputation to Dealing with Missing Data in Count Regression Models
Amir Pooyan Afghari, University of Queensland
Carlo Prato, University of Queensland
Simon Washington, University of Queensland
Md. Mazharul Haque, Queensland University of Technology
Modeling Effects of Travel Time Reliability on Mode Choice Using Prospect Theory
Sepehr Ghader, University of Maryland, College Park
Lei Zhang, University of Maryland, College Park
Autoregressive Continuous Logit: Formulation and Application to Time-of-Day Choice Modeling
Sepehr Ghader, University of Maryland, College Park
Carlos Carrion
Lei Zhang, University of Maryland, College Park
A Novel Application of Catastrophe and Fractal Theories for Crash and Incident Modeling
Tanmoy Bhowmik
Shamsunnahar Yasmin, University of Central Florida
Naveen Eluru, University of Central Florida
Exploring the Influence of Rainfall on a Stochastic Evolution of Traffic Conditions
Emmanuel Kidando, Florida State University
Ren Moses, Florida A&M University - Florida State University
Angela Kitali, Florida International University
Sia Lyimo, Western Michigan University
Valerian Kwigizile, Western Michigan University
Thobias Sando, University of North Florida
Deo Chimba, Tennessee State University
Spatiotemporal Short-Term Traffic Forecasting Using the Network Weight Matrix and Systematic Detrending
Alireza Ermagun, Northwestern University
David Levinson, University of Sydney
Statistical Methods in Transportation (Event 243)
Monday, January 8, 2018 8:00AM - 9:45AM, Convention Center, Hall E
Poster Session
Md Mazharul (Shimul) Haque, Queensland University of Technology, presiding
Sponsored By:
Standing Committee on Statistical Methods (ABJ80)
Presentations
Gas Dynamic Analogous Exposure Approach to Interaction Intensity in Modeling Multiple-Vehicle Crash Frequency: A Case Study of Crashes Involving Taxis
Fanyu Meng, University of Hong Kong
Wai Wong, University of Hong Kong
S.C. Wong, University of Hong Kong
Xin Pei
Yuen Chong Li, University of Hong Kong
Helai Huang, Central South University
A Full Bayes Approach to Road Safety Hotspot Identification with Prediction Validation
Lee Fawcett, Newcastle University
Joe Matthews, Newcastle University
Neil Thorpe, PTV Group
Karsten Kremer
A Multivariate Panel Copula-Based Count Model to Examine Intertemporal- and Intercrash-Type Correlations
Ghasak Mothafer, Nagoya University
Toshiyuki Yamamoto, Nagoya University
Venkataraman Shankar, Texas Tech University
Application of Dynamic (Time-Series) Artificial Neural Network Approach to Develop Collision Prediction Models: A Case Study in City of Kelowna, Canada
Gordon Lovegrove, University of British Columbia
Farhad Faghihi, No Organization
Development of a Random Parameters Negative Binomial–Lindley Generalized Linear Model to Analyze Highly Overdispersed Crash Data
Mohammad Razaur Shaon, University of Wisconsin, Milwaukee
Xiao Qin, University of Wisconsin, Milwaukee
Mohammadali Shirazi, Texas A&M University
Dominique Lord, Texas A&M Transportation Institute
Srinivas Geedipally, Texas A&M Transportation Institute
Characteristics-Based Heuristics to Select a Logical Distribution Between the Poisson Gamma and the Poisson Lognormal for Crash Data Modeling
Mohammadali Shirazi, Texas A&M University
Dominique Lord, Texas A&M Transportation Institute
Comparing Latent Variable Approach with Observation Removal and Imputation to Dealing with Missing Data in Count Regression Models
Amir Pooyan Afghari, University of Queensland
Carlo Prato, University of Queensland
Simon Washington, University of Queensland
Md. Mazharul Haque, Queensland University of Technology
Modeling Effects of Travel Time Reliability on Mode Choice Using Prospect Theory
Sepehr Ghader, University of Maryland, College Park
Lei Zhang, University of Maryland, College Park
Autoregressive Continuous Logit: Formulation and Application to Time-of-Day Choice Modeling
Sepehr Ghader, University of Maryland, College Park
Carlos Carrion
Lei Zhang, University of Maryland, College Park
A Novel Application of Catastrophe and Fractal Theories for Crash and Incident Modeling
Tanmoy Bhowmik
Shamsunnahar Yasmin, University of Central Florida
Naveen Eluru, University of Central Florida
Exploring the Influence of Rainfall on a Stochastic Evolution of Traffic Conditions
Emmanuel Kidando, Florida State University
Ren Moses, Florida A&M University - Florida State University
Angela Kitali, Florida International University
Sia Lyimo, Western Michigan University
Valerian Kwigizile, Western Michigan University
Thobias Sando, University of North Florida
Deo Chimba, Tennessee State University
Spatiotemporal Short-Term Traffic Forecasting Using the Network Weight Matrix and Systematic Detrending
Alireza Ermagun, Northwestern University
David Levinson, University of Sydney
Research Advances in Statistical and Econometric Methods (Event 264)
Monday, January 8, 2018 10:15AM - 12:00PM, Convention Center, 150B
Lectern Session
Panagiotis Anastasopoulos, University at Buffalo, presiding
Sponsored By:
Standing Committee on Statistical Methods (ABJ80)
Presentations
A Modified Mixed Generalized Ordered Response Model to Handle Misclassification in Injury Severity Data
Lacramioara Balan, Old Dominion University
Rajesh Paleti, Old Dominion University
A Multivariate Copula-Based Macrolevel Crash Count Model
Shamsunnahar Yasmin, University of Central Florida
Salah Uddin Momtaz, University of Central Florida
Tammam Nashad, University of Central Florida
Naveen Eluru, University of Central Florida
Jointly Specified Spatial Priors for Bayesian Models of Crash Frequency
Jonathan Aguero-Valverde, University of Costa Rica
Joint Modeling of Traffic Incident Duration Components (Reporting, Response, and Clearance Time): A Copula-Based Approach
Haluk Laman, University of Central Florida
Shamsunnahar Yasmin, University of Central Florida
Naveen Eluru, University of Central Florida
Monday, January 8, 2018 10:15AM - 12:00PM, Convention Center, 150B
Lectern Session
Panagiotis Anastasopoulos, University at Buffalo, presiding
Sponsored By:
Standing Committee on Statistical Methods (ABJ80)
Presentations
A Modified Mixed Generalized Ordered Response Model to Handle Misclassification in Injury Severity Data
Lacramioara Balan, Old Dominion University
Rajesh Paleti, Old Dominion University
A Multivariate Copula-Based Macrolevel Crash Count Model
Shamsunnahar Yasmin, University of Central Florida
Salah Uddin Momtaz, University of Central Florida
Tammam Nashad, University of Central Florida
Naveen Eluru, University of Central Florida
Jointly Specified Spatial Priors for Bayesian Models of Crash Frequency
Jonathan Aguero-Valverde, University of Costa Rica
Joint Modeling of Traffic Incident Duration Components (Reporting, Response, and Clearance Time): A Copula-Based Approach
Haluk Laman, University of Central Florida
Shamsunnahar Yasmin, University of Central Florida
Naveen Eluru, University of Central Florida
Committee Meeting Statistical Methodology Committee ABJ80
Monday, January 8, 2018 1:30PM - 3:30PM, Marriott Marquis, Supreme Court (M4)
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
Standing Committee on Statistical Methods (ABJ80)
Agenda for the Committee Meeting (Click here)
Linda Boyle's Presentation at the Committee meeting (Click here)
Monday, January 8, 2018 1:30PM - 3:30PM, Marriott Marquis, Supreme Court (M4)
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
Standing Committee on Statistical Methods (ABJ80)
Agenda for the Committee Meeting (Click here)
Linda Boyle's Presentation at the Committee meeting (Click here)
Doctoral Student Research in Transportation Safety (Session 426)
Monday, January 8, 2018 3:45PM - 5:30PM, Convention Center, Salon B
Hybrid Session (Lectern and Poster)
Peter Savolainen, Iowa State University, presiding
Sponsored By:
Standing Committee on Safety Data, Analysis and Evaluation (ANB20)
Standing Committee on Statistical Methods (ABJ80)
Program Details
This special hybrid session will highlight ongoing work by PhD students who are nearing the completion of their doctoral research in the area of transportation safety. This session will comprise a series of short (3- to 5-minute) introductory presentations, followed by a poster session in the same venue that will allow for more extensive discussions on individual projects.
Presentations
Advanced Quantitative Methods for Imminent Crash Prediction and Prevention
Zhi Chen, University of Wisconsin-Milwaukee
Improving Crash Predictability of the Highway Safety Manual through Alternate Local Calibration Process
Seyedhasan Dadvar, Morgan State University
Investigating and Facilitating the Transferability of Safety Performance Functions
Ahmed Farid, University of Central Florida
Project-oriented Safety Management of Rural Local Roads using a Probabilistic Framework to Estimate Crash Risk
Thomas Hall, Purdue University
Bayesian Multivariate Spatio-Temporal Models for Crash Frequency Analysis
Chenhui Liu, Iowa State University
Adaptations in Driver Behavior from Semi-Autonomous Vehicle Systems: A Longitudinal Driving Simulator Study
Erika Miller, University of Washington
Novel Insights into Active Transportation Safety: Macro-Level Crash Modeling, Hot-Zones Identification, and Policy Recommendations
Ahmed Osama, University of British Columbia
Exploration of Highway Location Prioritization and Evaluation Methods for Bicycle Safety Improvements
Md Asif Raihan, Florida International University
Comparative Analysis of Driving Efficiency Using Optimization Techniques for Large-Scale Smartphone Data
Dimitrios Tselentis, National Technical University of Athens
Towards an Understanding of the Factors Associated with Severe Injuries to Cyclists in Crashes with Motor Vehicles
Rabbani Rash-ha Wahi, Queensland University of Technology
Improving Safety under Reduced Visibility Based on Multiple Countermeasures and Approaches including Connected Vehicles
Yina Wu, University of Central Florida
Safety Modelling of Highway-Rail Grade Crossings Using Intelligent Transportation System Data
Li Zhao, University of Nebraska
Monday, January 8, 2018 3:45PM - 5:30PM, Convention Center, Salon B
Hybrid Session (Lectern and Poster)
Peter Savolainen, Iowa State University, presiding
Sponsored By:
Standing Committee on Safety Data, Analysis and Evaluation (ANB20)
Standing Committee on Statistical Methods (ABJ80)
Program Details
This special hybrid session will highlight ongoing work by PhD students who are nearing the completion of their doctoral research in the area of transportation safety. This session will comprise a series of short (3- to 5-minute) introductory presentations, followed by a poster session in the same venue that will allow for more extensive discussions on individual projects.
Presentations
Advanced Quantitative Methods for Imminent Crash Prediction and Prevention
Zhi Chen, University of Wisconsin-Milwaukee
Improving Crash Predictability of the Highway Safety Manual through Alternate Local Calibration Process
Seyedhasan Dadvar, Morgan State University
Investigating and Facilitating the Transferability of Safety Performance Functions
Ahmed Farid, University of Central Florida
Project-oriented Safety Management of Rural Local Roads using a Probabilistic Framework to Estimate Crash Risk
Thomas Hall, Purdue University
Bayesian Multivariate Spatio-Temporal Models for Crash Frequency Analysis
Chenhui Liu, Iowa State University
Adaptations in Driver Behavior from Semi-Autonomous Vehicle Systems: A Longitudinal Driving Simulator Study
Erika Miller, University of Washington
Novel Insights into Active Transportation Safety: Macro-Level Crash Modeling, Hot-Zones Identification, and Policy Recommendations
Ahmed Osama, University of British Columbia
Exploration of Highway Location Prioritization and Evaluation Methods for Bicycle Safety Improvements
Md Asif Raihan, Florida International University
Comparative Analysis of Driving Efficiency Using Optimization Techniques for Large-Scale Smartphone Data
Dimitrios Tselentis, National Technical University of Athens
Towards an Understanding of the Factors Associated with Severe Injuries to Cyclists in Crashes with Motor Vehicles
Rabbani Rash-ha Wahi, Queensland University of Technology
Improving Safety under Reduced Visibility Based on Multiple Countermeasures and Approaches including Connected Vehicles
Yina Wu, University of Central Florida
Safety Modelling of Highway-Rail Grade Crossings Using Intelligent Transportation System Data
Li Zhao, University of Nebraska
Analysis of SHRP 2 Safety Data: Slice, Dice, Chop, or Julienne? (Event 591)
Tuesday, January 9, 2018 1:30PM - 3:15PM, Convention Center, 102A
Lectern Session
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
Standing Committee on Statistical Methods (ABJ80)
Program Details
There are opportunities and challenges to using the Strategic Highway Research Program 2 (SHRP 2) database to gain insights on road safety, which contain petabytes of data. Researchers often use only a subset of the database for any given research question. Identifying the level, amount, and type of data to extract as well as the type of research question, analysis, and modeling that is possible is the focus of this session.
Presentations
Using SHRP 2 Data to Capture the Most Dangerous Phase of Cell Phone Use
Feng Guo, Virginia Polytechnic Institute and State University
Selecting Matching Variables Using Lasso Regression to Analyze Crash Risk in SHRP 2 INSIGHT Data for a Case-Control Setting
Huizhong Guo
SHRP 2 Naturalistic Engagement in Secondary Tasks (NEST) Distracted Driving Data Set: Baseline Sampling Method and Implications for Crash Risk Approximations
Birsen Donmez, University of Toronto
Data Processing and Statistical Considerations in the Analysis of Site-Based Time-Series Data from the SHRP 2 NDS
Joonbum Lee, Battelle
Pitfalls and Opportunities in SHRP 2 Data Analysis: An Example with Rear-End Events from SHRP 2
Paul Jovanis, Penn State University