“2016 Kikuchi-Karlaftis Best Paper Award Candidates”

The Artificial Intelligence and Advanced Computing Applications Committee (ABJ70) of the TRB has planned a Fall Webinar Series of the “2016 Kikuchi-Karlaftis Best Paper Award Candidates”. Following is the schedule and the registration links.

  1. First Presentation, 4:00 – 4:45 pm EST: Diagnosis and Prediction of Traffic Congestion on Urban Road Networks Using Bayesian Networks by Jiwon Kim, from The University of Queensland, Australia
  2. Second Presentation 4:45 – 5:30 pm EST: Temporal Tracking of Congested Partitions in Dynamic Urban Road Networks by Tarique Anwar from Swinburne University of Technology, Australia
  1. First Presentation, 11:00 – 11:45 am EST: A Hazard-based Model for Estimation of Congestion Duration in Urban Rail Transit Considering Loss Minimization by Zhuangbin Shi from Southeast University, China
  2. Second Presentation 11:45 am – 12:30 pm EST: A Non-homogeneous Time Mixed Integer LP Formulation for Traffic Signal Control by Iain Guilliard from the National ICT Australia (NICTA)
  1. First Presentation, 4:00 – 4:45 pm EST: Estimate Link Speed Distribution from Probe Vehicle Data by Zhang(Gabriel) Li from Amazon.com, USA
  2. Second Presentation 4:45 – 5:30 pm EST: Comparison of Supervised Classification Techniques for Vision-Based Pavement Crack Detection by Dr. Soroush Mokhtari from the University of Central Florida, USA
  1. First Presentation, 11:00 – 11:45 am EST: A Fuzzy C-Means Image Segmentation Approach for Axle-based Vehicle Classification by Dr. Heng Wei from the University of Cincinnati, USA
  2. Second Presentation 11:45 am – 12:30 pm EST: A GA-Based Approach For Optimal Deployment of Road Side Units in Connected/Automated Vehicle Environments” by Dr. Osama Osman from Louisiana State University, USA

TRB’s Artificial Intelligence and Advanced Computing Applications Committee, ABJ70

https://sites.google.com/site/trbcommitteeabj70/

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