4 Presentations

• 
  09:30 AM - 09:50 AM

  Enabling the Use of Bayesian Calibration for High-Dimensional Travel Demand Applications via Spatial Input Modeling and the Use of Traffic-Theoretic Priors

  • Seung Min Baik, presenter, HEC
  • Giovanni De Nunzio, IFP Energies nouvelles
  • Azise Oumar Diallo, IFP Energies nouvelles
  • Delphine Sinoquet, IFP Energies nouvelles
  • Mohamed Reda El Amri, IFP Energies nouvelles
  • Carolina Osorio, HEC Montreal
• 
  09:50 AM - 10:10 AM

  Machine learning to calibrate roads’ delay functions using count data

  • Saeed Asadi Bagloee, presenter, University of Melbourne
  • Majid Sarvi, University of Melbourne
• 
  10:10 AM - 10:30 AM

  A new approach to generate daily activity schedules by fusing travel survey with time-dependent origin-destination matrices

  • Vo Khoa , Future Cities Lab Global Singapore
  • Prateek Bansal, presenter, National University of Singapore
• 
  10:30 AM - 10:50 AM

  A Macroscopic Comparison Method for Road Network Datasets Using Geographical Traffic Distribution

  • Hengyi Zhong, presenter, Department of Civil and Environmental Engineering, Institute of Science Tokyo
  • Toru Seo, Department of Civil and Environmental Engineering, Institute of Science Tokyo