• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program


Annual Meeting Event Detail

Poster Session 1111

1111 - Road Scholars: New Research in Travel Time, Speed, and Reliability Data

Monday, January 25 2:30 PM- 4:00 PM ET
Ramkumar Venkatanarayana, Virginia Transportation Research Council,
Jiaqi Ma, University of California, Los Angeles

Sponsored by:
Standing Committee on Urban Transportation Data and Information Systems (AED20)

This session covers the use, analysis, and estimation of travel time, speed, and reliability. Topics covered include methods to analyze, process, and validate data; performance measures and determination of appropriate metrics; comparison of various sources of travel time data; modeling of travel time; queue length estimation; handling missing data, comparisons across sources of data; full travel path as well as road segment travel times; and inclusion of other data such as weather into travel time estimates.

No agenda available

Title Presentation Number
Improving Short-term Travel Speed Prediction with High Resolution Spatial and Temporal Rainfall Data
Corey Harper (cdharper@andrew.cmu.edu), Carnegie Mellon University
Sean Qian, Carnegie Mellon University
Constantine Samaras, Carnegie Mellon University
Show Abstract
Development and Evaluation of a Wi-Fi MAC Scanner and its Application in forecasting Prediction Intervals for Stream Travel Time
Satya Patra, Indian Institute of Technology, Madras
Bharathiraja Muthurajan
Bharathiraja Muthurajan
Lelitha Vanajakshi (lelitha@iitm.ac.in), Indian Institute of Technology, Madras
Show Abstract
Traveller Recurrence and Individual Travel Time Variability: Analysis with Stockholm Bluetooth Data
Erik Jenelius (jenelius@kth.se), KTH Royal Institute of Technology
Show Abstract
Estimating Freeway Level-of-Service (LOS) Using Crowdsourced Data
Nima Hoseinzadeh (nhoseinz@vols.utk.edu), University of Tennessee, Knoxville
Yangsong Gu, University of Tennessee, Knoxville
Lee Han, University of Tennessee
Candace Brakewood, University of Tennessee, Knoxville
Brad Freeze, Tennessee Department of Transportation
Show Abstract
An Improved Euclidean Distance Weighted K-Nearest Neighbor Model for Traffic State Forecasting
Xiaojian Hu, Southeast University
Tong Liu, Southeast University
Ye Li, Central South University
Zhiwei Cui, Head of the smart city institute
Tong Liu, Southeast University
Show Abstract
Highway Travel Time Prediction Using Machine Learning Techniques through a Dynamic Approach
Homa Taghipour (htaghi2@uic.edu), University of Illinois, Chicago
Amir Bahador Parsa, University of Illinois, Chicago
Abolfazl Mohammadian, University of Illinois, Chicago
Show Abstract
Spatiotemporal Short -Term Traffic Speed Prediction using Machine Learning Techniques with Probe and Weather Data.
Pouyan Hosseini, ITERIS, Inc.
Maan Qraitem, Boston University
Tiffany Symes, ITERIS, Inc.
Shayan Khoshmagham, ITERIS, Inc.
Show Abstract
Comparison of Transit Travel Time Estimation Using Schedules, Real-Time Vehicle Arrivals, and Smartcard Inference Methods
Ting Li, Massachusetts Institute of Technology (MIT)
Patrick Meredith-Karam, Massachusetts Institute of Technology (MIT)
Hui Kong (kongh@mit.edu), University of Minnesota, Twin Cities
Anson Stewart, Massachusetts Institute of Technology (MIT)
John Attanucci, Massachusetts Institute of Technology (MIT)
Jinhua Zhao, Massachusetts Institute of Technology (MIT)
Show Abstract
Taxi GPS Data in Urban Road Network: A Methodology to Identify Key Road Clusters Based on Travel Speed – Traffic Volume Correlation
Yi Li, Tongji University
Qing Yu, Tongji University
Weifeng Li, Tongji University
Han Yang, Research Institute of Highway, Ministry of Transport
Show Abstract
An Adaptive Filtering Algorithm for Estimating Signalized Arterial Travel Times Using ANPR Data
Pengyao Ye, Southwest Jiaotong University
Cheng Li, Southwest Jiaotong University
Show Abstract
Improving Interstate Freeway Travel Time Reliability Analysis by Clustering Travel Time Distributions
Xiaoxiao Zhang (xz2dk@virginia.edu), University of Virginia
Mo Zhao, Virginia Transportation Research Council
Justice Appiah, Virginia Transportation Research Council
Michael Fontaine, Virginia Transportation Research Council
Show Abstract

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