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.
Title | Presentation Number |
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Assessing the Predictive Value of Traffic Flow Data in the Imputation of On-Street Parking Occupancy in Amsterdam
Pablo Martín Calvo, Universiteit van Amsterdam
Show Abstract
Bas Schotten, Municipality of Amsterdam Elenna Dugundji, Vrije Universiteit, Amsterdam |
TRBAM-21-00656 |
Analysis of Tourist Flow Characteristics Based on Mobile Signaling Data
Ye Zhang, Beijing University of Technology
Show Abstract
Yanyan Chen, Beijing University of Technology Haodong Sun, Beijing University of Technology |
TRBAM-21-01139 |
A Multi-source Data Fusion Framework for Joint Population, Expenditure, and Time-Use Synthesis
Jason Hawkins (jason.hawkins@mail.utoronto.ca), University of Toronto
Show Abstract
Khandker Nurul Habib, University of Toronto |
TRBAM-21-00447 |
Traffic volume extraction and evaluation with roadside cloud points data
yuan tian, University of Nevada, Reno
Show Abstract
Yuxin Tian, University of Nevada, Reno Hao Xu, University of Nevada, Reno Trevor Whitley, University of Nevada, Reno Shradha Toshniwal, University of Nevada, Reno |
TRBAM-21-01679 |
Effects of Data Characteristics on Bus Travel Time Prediction: A Systematic Study
Hima Shaji, Indian Institute of Technology, Madras
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Lelitha Vanajakshi (lelitha@iitm.ac.in), Indian Institute of Technology, Madras Arun Tangirala, Indian Institute of Technology, Madras |
TRBAM-21-02596 |
Why is Traffic Congestion Getting Worse? A Quantified Decomposition of Contributors to the Growing Congestion in San Francisco
Sneha Roy, AECOM
Show Abstract
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 |
TRBAM-21-03020 |
Evaluating the Quality of High-Resolution Private Sector Data for Providing Non-freeway Travel Times
Yan Liu, University of Cincinnati
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Adekunle Adebisi, University of Cincinnati Tao Li, University of California, Los Angeles Jiaqi Ma, University of California, Los Angeles |
TRBAM-21-03260 |
Travelers’ Adaptive Behaviors in response to Seattle’s Alaskan Way Viaduct Replacement
Feilong Wang, University of Washington
Show Abstract
Jingxing Wang, University of Washington Yiran Zhang, University of Washington Cynthia Chen, University of Washington Xuegang (Jeff) Ban, University of Washington |
TRBAM-21-03332 |
Technology Review for Complete Streets Data Collection
Qiuhan Chen, Georgia Institute of Technology (Georgia Tech)
Show Abstract
Ariel Steele, Georgia Institute of Technology (Georgia Tech) Yichang Tsai, Georgia Institute of Technology (Georgia Tech) |
TRBAM-21-04351 |
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