• Transportation Research Board

      TRB 98th Annual Meeting

      January 13–17, 2019

    • Interactive Program


Annual Meeting Event Detail

Lectern Session 1645

Innovations in Collecting and Analyzing Pedestrian and Bicyclist Data

Tuesday 6:00 PM- 7:30 PM
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Frank Proulx, Toole Design Group, LLC, presiding
Sponsored by:
Standing Committee on Highway Traffic Monitoring (ABJ35)
Subcommittee on Bicycle and Pedestrian Data (ABJ35(3))
Standing Committee on Statewide Transportation Data and Information Systems (ABJ20)
Standing Committee on Urban Transportation Data and Information Systems (ABJ30)
Standing Committee on Travel Survey Methods (ABJ40)
Standing Committee on Bicycle Transportation (ANF20)
Standing Committee on Pedestrians (ANF10)

This session includes papers that describe innovations in collecting and analyzing pedestrian and bicyclist data, including crowdsource data, GPS data from bicyclists, using LiDAR for counting pedestrians, and an innovative method to expand pedestrian counts.

No agenda available

Title Presentation Number
Bicycle Safety Analysis at Intersections Using Crowdsourced Data
Moatz Saad, University of Central Florida
Mohamed Abdel-Aty, University of Central Florida
Jaeyoung Lee, University of Central Florida
Qing Cai, University of Central Florida
Show Abstract
Extraction and Investigation of Bicycle Cruising Speeds from GPS Data Using Time-Series Clustering
Elmira Berjisian, University of British Columbia
Alexander Bigazzi, University of British Columbia
Show Abstract
Development and Evaluation of a 2D LiDAR Real-Time Pedestrian Counting System for High-Volume Conditions
Asad Lesani, McGill University
Ehsan Nateghinia, McGill University
Luis Fernando Miranda-Moreno, McGill University
Show Abstract
Pedestrian Count Expansion Methods: Bridging the Gap Between Land Use Groups and Empirical Clusters
Aditya Medury, Safe Transportation Research and Education Center
Julia Griswold, University of California, Berkeley
Louis Huang, University of California, Berkeley
Offer Grembek, University of California, Berkeley
Show Abstract