• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program


Annual Meeting Event Detail

Poster Session 1362

1362 - Applications and Innovations in Travel Data

Thursday, January 28 11:30 AM- 1:00 PM ET
Mara Kaminowitz, Baltimore Metropolitan Council (BMC),
Charlotte Frei, CDM Smith,

Clotilde Minster, The World Bank
Sponsored by:
Standing Committee on Urban Transportation Data and Information Systems (AED20)

The variety of data sources available to capture traffic flows is increasing, and innovative methods are being developed to utilize this data. This session presents papers that investigate traffic characteristics using innovative data sources, such as lidar cloud points, mobile device signals, and other probe and crowdsourced data sets.

No agenda available

Title Presentation Number
Assessing the Predictive Value of Traffic Flow Data in the Imputation of On-Street Parking Occupancy in Amsterdam
Pablo Martín Calvo, Universiteit van Amsterdam
Bas Schotten, Municipality of Amsterdam
Elenna Dugundji, Vrije Universiteit, Amsterdam
Show Abstract
Analysis of Tourist Flow Characteristics Based on Mobile Signaling Data
Ye Zhang, Beijing University of Technology
Yanyan Chen, Beijing University of Technology
Haodong Sun, Beijing University of Technology
Show Abstract
A Multi-source Data Fusion Framework for Joint Population, Expenditure, and Time-Use Synthesis
Jason Hawkins (jason.hawkins@mail.utoronto.ca), University of Toronto
Khandker Nurul Habib, University of Toronto
Show Abstract
Traffic volume extraction and evaluation with roadside cloud points data
yuan tian, University of Nevada, Reno
Yuxin Tian, University of Nevada, Reno
Hao Xu, University of Nevada, Reno
Trevor Whitley, University of Nevada, Reno
Shradha Toshniwal, University of Nevada, Reno
Show Abstract
Effects of Data Characteristics on Bus Travel Time Prediction: A Systematic Study
Hima Shaji, Indian Institute of Technology, Madras
Lelitha Vanajakshi (lelitha@iitm.ac.in), Indian Institute of Technology, Madras
Arun Tangirala, Indian Institute of Technology, Madras
Show Abstract
Why is Traffic Congestion Getting Worse? A Quantified Decomposition of Contributors to the Growing Congestion in San Francisco
Sneha Roy, AECOM
Drew Cooper, San Francisco County Transportation Authority (SFCTA)
Richard Mucci, University of Kentucky
Bhargava Sana, San Francisco County Transportation Authority (SFCTA)
Mei Chen, Kentucky Transportation Center
Joe Castiglione, San Francisco County Transportation Authority (SFCTA)
Dr. Gregory Erhardt, University of Kentucky
Sneha Roy, AECOM
Show Abstract
Evaluating the Quality of High-Resolution Private Sector Data for Providing Non-freeway Travel Times
Yan Liu, University of Cincinnati
Adekunle Adebisi, University of Cincinnati
Tao Li, University of California, Los Angeles
Jiaqi Ma, University of California, Los Angeles
Show Abstract
Travelers’ Adaptive Behaviors in response to Seattle’s Alaskan Way Viaduct Replacement
Feilong Wang, University of Washington
Jingxing Wang, University of Washington
Yiran Zhang, University of Washington
Cynthia Chen, University of Washington
Xuegang (Jeff) Ban, University of Washington
Show Abstract
Technology Review for Complete Streets Data Collection
Qiuhan Chen, Georgia Institute of Technology (Georgia Tech)
Ariel Steele, Georgia Institute of Technology (Georgia Tech)
Yichang Tsai, Georgia Institute of Technology (Georgia Tech)
Show Abstract

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