• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program

2021

Annual Meeting Event Detail




Poster Session 1327

1327 - Safety Performance and Analysis, Act 4: Methods and Models (Act 1, Session 1169; Act 2, Session 1202; Act 3, Session 1295)

Wednesday, January 27 4:00 PM- 5:30 PM ET
Poster
Sponsored by:
Standing Committee on Safety Performance and Analysis (ACS20)

 



No agenda available

Title Presentation Number
Benefit-Cost Approach for Using Continuous Friction Measurements to Choose a Pavement Surface Treatment
Ross McCarthy, Virginia Polytechnic Institute and State University (Virginia Tech)
Gerardo Flintsch, Virginia Polytechnic Institute and State University (Virginia Tech)
Edgar de Leon Izeppi, Virginia Tech Transportation Institute
Show Abstract
TRBAM-21-00051
Modeling the Severity of Rural Run-Off-Road Crashes with Latent Class Analysis: Accounting for Differences in Driver Behavior
Shiyi Liu (sl9hm@virginia.edu), University of Virginia
Tianyang Han, University of Tokyo
Michael Fontaine, Virginia Transportation Research Council
Show Abstract
TRBAM-21-00463
Investigating the Impact of Road Cross-Section Elements on Crash Occurrence in Urban Areas
Muhammad Khattak, Universiteit Gent
Hans De Backer, Universiteit Gent
Pieter De Winne, Universiteit Gent
Tom Brijs, Universiteit Hasselt
Ali Pirdavani (ali.pirdavani@uhasselt.be), Hasselt University
Show Abstract
TRBAM-21-00755
A Comparative Approach of Crash Frequency Modelling in Two Lane Rural Roads
Moataz Bellah Ben Khedher, Korea University
Dukgeun Yun, Korea Institute of Civil Engineering and Building Technology (KICT)
Show Abstract
TRBAM-21-00971
Modeling Vehicle Collision Instincts Over Road Midblock Using Deep Learning
Shubham Patil, Sardar Vallabhbhai National Institute of Technology
Narayana Raju, Sardar Vallabhbhai National Institute of Technology
Shriniwas Arkatkar (sarkatkar@gmail.com), Sardar Vallabhbhai National Institute of Technology
Said Easa, Ryerson University
Show Abstract
TRBAM-21-01259
A Proactive Safety Approach to Assess Overtaking Behavior and Crash Risk of Drivers under Time Pressure Situations
Nishant Pawar, Indian Institute of Technology, Bombay
Nagendra Velaga (n.r.velaga@iitb.ac.in), Indian Institute of Technology, Bombay
Show Abstract
TRBAM-21-01268
Secondary Crash Identification Using Crowdsourced Waze User Reports
Zhihua Zhang, University of Tennessee, Knoxville
Yuandong liu, Oak Ridge National Laboratory
Lee Han, University of Tennessee
Brad Freeze, Tennessee Department of Transportation
Show Abstract
TRBAM-21-01324
TWO-LANE HIGHWAY CRASH SEVERITIES: CORRELATED RANDOM PARAMETERS MODELING VERSUS INCORPORATING INTERACTION EFFECTS
Ahmed Farid, University of Wyoming
Anas Alrijjal, University of Wyoming
Khaled Ksaibati (khaled@uwyo.edu), University of Wyoming
Show Abstract
TRBAM-21-01376
Crash Injury Severity Prediction and Analysis Based on Comparison of Four Machine Learning Methods
Yanyan Chen, Beijing University of Technology
Yuntong Zhou, Beijing University of Technology
Jianming Ma, Texas Department of Transportation
Show Abstract
TRBAM-21-01415
When and Where does the Next Crash Occur? A Discretized Duration Based Modeling Approach
Rajesh Paleti Ravi Venkata Durga (durgarajesh123@gmail.com), University of Texas, Austin
Asif Mahmud, Pennsylvania State University
Vikash Gayah, Pennsylvania State University
Abdul Pinjari, Indian Institute of Science
Show Abstract
TRBAM-21-01431
Exploration of Various Spatio-temporal Interactions in Crash Frequency Models
Mankirat Singh, California State Polytechnic University, Pomona
Wen Cheng, California State Polytechnic University, Pomona
Yihua Li, Central South University of Forestry and Technology
Dean Samuelson, California Department of Transportation (CALTRANS)
Edward Clay, California State Polytechnic University, Pomona
Show Abstract
TRBAM-21-01915
Reliability-based Assessment of Potential Risk for Lane Changing Maneuvers
Yang-Jun Joo, Seoul National University
Ho-Chul Park, Myongji University
Seung-Young Kho, Seoul National University
Dong-Kyu Kim (dongkyukim@snu.ac.kr), Seoul National University
Show Abstract
TRBAM-21-02229
Spatio-Temporal Accident Prediction: Effects of Negative Sampling on Understanding Network-Level Accident Occurrence
Jeremiah Roland, University of Tennessee, Chattanooga
Peter Way, University of Tennessee, Chattanooga
Mina Sartipi, University of Tennessee, Chattanooga
Osama Osman, University of Tennessee, Chattanooga
Show Abstract
TRBAM-21-02286
Utilizing Transfer Learning for Temporal and Spatial Transferability of Real-Time Crash Prediction Models
Cheuk Ki Man (c.k.man@lboro.ac.uk), Loughborough University
Mohammed Quddus, Loughborough University
Athanasios Theofilatos, Loughborough University
Show Abstract
TRBAM-21-02446
Exploring Factors Affecting Injury Severity of Crashes in Freeway Tunnel Groups
Amjad Pervez (amjadpervez04@yahoo.com), Central South University
Jaeyoung Lee, Central South University
Show Abstract
TRBAM-21-02503
Application of Poisson-Tweedie Regression Approach for Modelling Crossing Conflicts at Un-Signalized T-intersections under Mixed Traffic Conditions
Jaydip Goyani, Sardar Vallabhbhai National Institute of Technology
Ninad Gore, Sardar Vallabhbhai National Institute of Technology
Shriniwas Arkatkar, Sardar Vallabhbhai National Institute of Technology
Show Abstract
TRBAM-21-02551
County-Level Crash Data Exploration Using Principal Component Analysis Based Agglomerative Hierarchical Clustering
Hari-Krishnan Melempat-Kalapurayil, University of Texas, San Antonio
Amit Kumar (amit.kumar@utsa.edu), University of Texas, San Antonio
Show Abstract
TRBAM-21-02607
Identifying Underreported Work Zone Crash Using Machine Learning Techniques − A Comparative Study
Md Abu Sayed (sayed@uwm.edu), University of Wisconsin, Milwaukee
Xiao Qin, University of Wisconsin, Milwaukee
Rohit J Kate, University of Wisconsin, Milwaukee
D M Anisuzzaman, University of Wisconsin, Milwaukee
Zeyun Yu, University of Wisconsin, Milwaukee
Show Abstract
TRBAM-21-02668
A Full Bayesian Space-time Random Effect Approach for Hexagon-based Crash Frequency Modeling
Haipeng Cui (cuihp2013@163.com), National University of Singapore
Kun Xie, Old Dominion University
Show Abstract
TRBAM-21-02807
Crash Prediction for Advanced Driver Assistance Systems: Development and Comparative Analysis of Advanced Deep Learning Techniques
Osama Osman (osama-osman@utc.edu), University of Tennessee, Chattanooga
Mustafa Hajij, Santa Clara University
Show Abstract
TRBAM-21-03024
Multiple Correspondence Analysis of Wrong-Way Driving Fatal Crashes on Freeways
Yukun Song (yzs0045@tigermail.auburn.edu), Auburn University
Huaguo Zhou, Auburn University
Qing Chang, Auburn University
Mohammad Jalayer, Rowan University
Show Abstract
TRBAM-21-03147
Modeling Injury Severity of Unconventional Vehicle Occupants: A Hybrid of Latent Segment and Random Parameters Logit Model
Bijoy Saha, University of British Columbia, Okanagan
Mahmudur Fatmi, University of British Columbia
Md. Mizanur Rahman, Bangladesh University of Engineering and Technology
Show Abstract
TRBAM-21-03310
Extracting Rules from AV involved Crashes by applying Decision Tree and Association Rule Methods
Md Tanvir Ashraf, West Virginia University
Kakan Dey (kakan.dey@mail.wvu.edu), West Virginia University
Sabya Mishra, University of Memphis
Show Abstract
TRBAM-21-03336
Missing Data Problem Treatment in Crash Data: A Genetic Algorithm-based Clustered Weighting Method
Sina Asgharpour (s.asgharpour2016@student.sharif.edu), Sharif University of Technology
Mohammadjavad Javadinasr, University of Illinois, Chicago
Zeinab Bayati, Sharif University of Technology
Amir Samimi, Sharif University of Technology
Show Abstract
TRBAM-21-03372
Influence of Incident Spatiotemporal Estimation Method in Secondary Crash Identification
Angela Kitali, Florida International University
Priyanka Alluri, Florida International University
Thobias Sando, University of North Florida
Show Abstract
TRBAM-21-03548
Hybrid Artificial Intelligence Models for Work Zone Crash Frequency Analysis at Bridge Locations
Seyedmirsajad Mokhtarimousavi (smokh005@fiu.edu), Florida International University
Jason Anderson, Portland State University
Mohammed Hadi, Florida International University
Atorod Azizinamini, Florida International University
Show Abstract
TRBAM-21-03739
Evolutionary Training Approaches for Machine Learning Models for Analyzing Classification Imbalanced Crash Datasets
Seyedmirsajad Mokhtarimousavi, Florida International University
Mohammed Hadi, Florida International University
Eazaz Sadeghvaziri, Morgan State University
Atorod Azizinamini, Florida International University
Show Abstract
TRBAM-21-03834
California Autonomous Vehicle Crashes: Explanatory Data Analysis and Classification Tree
Seyedehsan Dadvar, CYFOR Technologies LLC
Mohamed Ahmed, University of Wyoming
Show Abstract
TRBAM-21-04068
Vehicle Group Crash Risk Prediction based Active Traffic Management Strategies for Expressways
Ziliang He, Tongji University
Wanjing Ma, Tongji University
Ling Wang (wang_ling@tongji.edu.cn), Tongji University
Hao Zhong, Tongji University
Chunhui Yu, Tongji University
Show Abstract
TRBAM-21-04355
Exploring A Need to Model Two- and Multiple-vehicle Crashes Separately
Angela Kitali, Florida International University
Emmanuel Kidando, Cleveland State University
Md Asif Raihan, Bangladesh University of Engineering and Technology
Boniphace Kutela, Texas A&M Transportation Institute
Priyanka Alluri, Florida International University
Thobias Sando, University of North Florida
Show Abstract
TRBAM-21-04403
Investigating the Typical Scenarios and Contributory Factors to Crash Severity of Autonomous Vehicle Involved Collisions Using Association Rule Analysis
Jing Zhang (220194471@seu.edu.cn), Southeast University
Chengcheng Xu, Southeast University
Show Abstract
TRBAM-21-04421
Risk Analysis of Road Transport Accidents of Hazardous Materials by Machine Learning
Xiaoyan Shen, Chang'an University
Shanshan Wei (weishan1995@foxmail.com), Chang'an University
Yuqing Feng, Chang'an University
Fan Zhang, Chang'an University
Show Abstract
TRBAM-21-00754
Assessment of Crash Occurrence Using Historical Crash Data and A Random Effect Negative Binomial Model: A Case Study for a Rural State
Karla Diaz-Corro, University of Arkansas, Fayetteville
Leyla Coronel Moreno, University of Arkansas, Fayetteville
Suman Mitra, University of Arkansas, Fayetteville
Sarah Hernandez, University of Arkansas, Fayetteville
Show Abstract
TRBAM-21-01773

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