ABJ30(2): TRB Computational Transportation and Society (CT&S) Joint Subcommittee

Co-Chairs: Piyushimita (Vonu) Thakuriah, University of Illinois at Chicago (vonu-pt@uic.edu)  and Harvey J. Miller, University of Utah (harvey.miller@geog.utah.edu)

Lead Committee:
ABJ30: Urban Transportation Data and Information Systems

 

Partner Committees:
ABJ60: Geographic Information Science and Applications
ABJ95: Visualization in Transportation





Mission Statement: The mission of the joint subcommittee is to stimulate research on computational, design and policy innovations needed to integrate transportation to the rapidly transforming ubiquitous information society. Our work will lead to technologies for the generation, analysis and visualization of innovative geospatial “Big Data” as well as to models of information use, governance and design.


2013 TRB Annual Meeting Workshop

Big Data Informatics: Innovations in Mining Structured and Unstructured Information for Mobility Decision-Making

Sunday, January 13, 2013 9:00AM - 12:00PM 
Workshop Data and Information Technology, Planning and Forecasting, Society

Organizers:
Piyushimita (Vonu) Thakuriah, University of Illinois, Chicago, presiding
Harvey J. Miller, University of Utah, presiding
Sponsored By:
Urban Transportation Data and Information Systems (ABJ30)
Geographic Information Science and Applications (ABJ60)
Visualization in Transportation (ABJ95)

Panel Chairs:
Walton Fehr, Research and Innovative Technology Administration, USDOT
Glenn Geers, National ICT of Australia (NICTA)

The convergence of pervasive sensing with location-aware and social media technologies, along with infrastructure-based sensors, will lead to innovative “big data” in urban transportation. These data can be structured or unstructured, ranging from GPS trajectories to text, video, still images, and others. The workshop focuses on data management, information extraction, mobility mining, analysis of user-generated content, and multisensor fusion and mobility information services that can be built


TitlePresentation Number
Use of Very-Large-Scale Geolocation Data for Intelligent Transportation Systems Modeling
Satish V. Ukkusuri, Purdue University, presenter
P13-5385
Understanding Regularity and Irregularity in Space-Time Movements with Mobile Phone Data
Tingting Wang, University of Washington, presenter
P13-5387
Mining Secondary Incidents on Freeways Using Archived Sensor Data
Hong Yang, Rutgers University, presenter
P13-5388
GPS Data Collection and Processing for Regional Travel Behavior Surveys
Timothy Michalowski, Abt SRBI, Inc., presenter
P13-5389
Gaming Simulation Approach Toward Value of Big Data in Traffic Control
Sebastiaan Meijer, KTH Royal Institute of Technology, Sweden, presenter
P13-5390
Need of Big Data Informatics: Analysis of Drivers’ Reaction to Operation of Traffic Signal
Jan-Mou Li, Oak Ridge National Laboratory, presenter
P13-5391
Roles for Big Data Informatics in Travel Forecasting
Benjamin Stabler, Parsons Brinckerhoff, presenter
P13-5392
Finding Change in the CouchDB: Real-World Experiences Using CouchDB to Store and Analyze Historic Transportation Data
James E. Marca, University of California, Irvine, presenter
P13-5393
Open Source Tools for Trajectory Data Analysis
Nicolas Saunier, Ecole Polytechnique de Montreal, Canada, presenter
P13-5394
Using Mobile Apps to Measure Spatial Travel Behavior Changes of Carsharing Users: Case Study
Sisinnio Concas, University of South Florida, presenter
P13-5395
Hierarchical Performance Measures and Standardized Data Processing in Mining Private-Sector Probe-Based Traffic Data for Performance-Based Planning
Wenjing Pu, Metropolitan Washington Council of Governments, presenter
P13-5396
Managing, Merging, and Revealing Big Data from AFC, APC, Real-Time Operation Support System and GTFS Planned Service in a Midsized Agency
Vincent Dionne, Ecole Polytechnique de Montreal, Canada, presenter