• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program

2021

Annual Meeting Event Detail




Poster Session 1223

1223 - Advancements in Highway Maintenance Management

Tuesday, January 26 2:30 PM- 4:00 PM ET
Poster
Mark Robinson, Noble Creek Consulting
Sponsored by:
Standing Committee on Maintenance and Operations Management (AKR10)

Highway maintenance management is a hot area for innovation when it comes to using technology, machine learning/AI, and data to optimize operations and manage system condition.  This poster session highlights some of the latest advancements.



No agenda available

Title Presentation Number
Use of Mobile Photogrammetry Method for Highway Asset Management
Mohammad Farhadmanesh, University of Utah
Chandler Cross, University of Utah
Ali Hassandokht Mashhadi, University of Utah
Abbas Rashidi, University of Utah
Jessica Wempen, University of Utah
Show Abstract
TRBAM-21-01864
Trust in Automated Truck-Mounted Attenuators: A Survey on Worker Perceptions
Shiva Pourfalatoun, Colorado State University, Fort Collins
Erika Miller (erika.miller@colostate.edu), Colorado State University
Show Abstract
TRBAM-21-02603
Traffic Sign Extraction using Deep Hierarchical Feature Learning and LiDAR Data on Rural Highways
Maged Gouda (mgouda@ualberta.ca), University of Alberta
Alexander Epp, University of Alberta
Ryden Graham, University of Alberta
Karim El-Basyouny, University of Alberta
Show Abstract
TRBAM-21-03120
Multi Asset Hotspot Analysis for Predictive Roadway Maintenance
Arash Karimzadeh (akarimza@uncc.edu), University of North Carolina, Charlotte
Sepehr Sabeti, University of North Carolina, Charlotte
Hamed Tabkhi, University of North Carolina, Charlotte
Omidreza Shoghli, University of North Carolina, Charlotte
Show Abstract
TRBAM-21-03174
COVID-19: Effect of the Pandemic on Work Zone Schedule Optimization
Celina Semaan, New Jersey Institute of Technology
Steven Chien, New Jersey Institute of Technology
Show Abstract
TRBAM-21-03581
Joint optimization of multi-scale decisions in budget allocation, inspection frequency, and maintenance policies for transportation infrastructure systems
Heeseung Shon, Korea Advanced Institute of Science and Technology (KAIST)
Jinwoo Lee (lee.jinwoo@kaist.ac.kr), Korea Advanced Institute of Science and Technology (KAIST)
Show Abstract
TRBAM-21-03687
Framework for Leveraging Data from Autonomous Trucks to Support State Maintenance Operations
Morgan Avera (averam@utexas.edu), University of Texas, Austin
C. Michael Walton, University of Texas, Austin
Show Abstract
TRBAM-21-03875

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