• 101st TRB Annual Meeting

      January 9–13, 2022; Washington, DC

    • Online Program

Annual Meeting Event Detail

Poster Session 1434

1434 - Approaches to Travel Model Estimation

Friday, January 29 11:30 AM- 1:00 PM ET
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Abdul Pinjari, IISC Bangalore: Indian Institute of Science
Sponsored by:
Standing Committee on Transportation Demand Forecasting (AEP50)


No agenda available

Title Presentation Number
Site Characteristics Affecting Multi-Modal Trip Generation Rates at Residential Developments
Chris De Gruyter, RMIT University
Seyed Mojib Zahraee, RMIT University
Nirajan Shiwakoti, RMIT University
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Using OpenStreetMap as Data Source for Attractiveness in Travel Demand Models
Christian Klinkhardt, Karlsruhe Institute of Technology (KIT)
Tim Woerle, Karlsruhe Institute of Technology (KIT)
Lars Briem, Karlsruhe Institute of Technology (KIT)
Michael Heilig, Karlsruhe Institute of Technology (KIT)
Martin Kagerbauer, Karlsruhe Institute of Technology (KIT)
Peter Vortisch, Karlsruhe Institute of Technology (KIT)
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Departure Time Choice in Schedule-Based Transit Assignment
Markus Friedrich, Stuttgart University
Matthias Schmaus, University of Stuttgart
Jonas Sauer, Karlsruher Institut fur Technologie
Tobias Zündorf, Karlsruher Institut fur Technologie
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A Comparison of Micro- and Zone-based Trip Generation Models with an Application to London, Ontario
Rahaf Hussein, University of Windsor
Georgiana Madar-Vani, University of Windsor
Hanna Maoh, University of Windsor
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Forecasting with Strategic Transport Models Corrected for Endogeneity
Thomas Guerrero B, Universidad Francisco de Paula Santander Ocaña
C. Angelo Guevara, Universidad de Chile
Juan de Dios Ortúzar, Pontificia Universidad Catolica de Chile
Elisabetta Cherchi, Newcastle University
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Correcting Self-Selection Biases in Mobile Sensor Data for OD Estimation: a Likelihood-Based Method Leveraging Multiple Biased Data Sources
Feilong Wang, University of Washington
Shuai Huang, University of Washington
Cynthia Chen, University of Washington
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Comparison of Fully Latent and Partially Observed Choice Set Models for Mode Choice
Parthan Kunhikrishnan, BMS College of Engineering
Karthik Srinivasan, Indian Institute of Technology, Madras
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Recoupling Destination Flexibility and Travel Time Utility
Nicholas Caros, Massachusetts Institute of Technology (MIT)
Hongmou Zhang, Singapore-MIT Alliance for Research and Technology
Jinhua Zhao, Massachusetts Institute of Technology (MIT)
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A Simulation-Free Full Information Maximum Likelihood Method to Estimate Probit-based SP-off-RP Models
Ke Wang, University of Shanghai for Science and Technology
Xin Ye, Tongji University
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A Practical Method to Draw from Multivariate Extreme Value Distributions
Ke Wang, University of Shanghai for Science and Technology
Xin Ye, Tongji University
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Privacy versus Accuracy in Activity Diary Synthesis: A Differentially Private Multi-Output Deep Generative Networks Approach
Godwin Badu-Marfo, Concordia University
Bilal Farooq, Ryerson University
Zachary Patterson, Concordia University
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Generation of Activity Sequences using Dynamic Bayesian Networks with Latent Variables
Ioanna Arkoudi, Danmarks Tekniske Universitet
Isabel Viegas de Lima, Steer
Carlos Lima Azevedo, Danmarks Tekniske Universitet
Francisco Camara Pereira, Technical University of Denmark
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A Joint Model of Sustainable Mode Choice for Commute, Shift Potential and Alternative Mode Chosen
Ganesh Ambi Ramakrishnan, Indian Institute of Technology, Madras
arthik Srinivasan, Indian Institute of Technology Madras
Aupal Mondal, University of Texas, Austin
Chandra Bhat, University of Texas, Austin
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Multiple Discrete-Continuous Choice Models with Bounds on Consumptions: Application to Episode-level Activity Participation and Time use Analysis
Shobhit Saxena, Indian Institute of Science
Abdul Pinjari, IISC Bangalore: Indian Institute of Science
Ananya Roy, Indian Statistical Institute
Rajesh Paleti Ravi Venkata Durga, University of Texas, Austin
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