ScopeTRB Committee ABJ80 is concerned with the appropriate application of statistical methods in the field of transportation. The committee will serve as a resource on statistical matters for all other TRB committees or activities; will foster understanding and use of statistics through dissemination and education activities; and will identify and foster research needed in statistics for use in transportation. |
Latest UpdatesAgenda for TRB 2013 Committee Meeting (Click here) TRB 2012 Committee Meeting Minutes (Click Here) TRB 2013 is here. For ABJ80 sponsored session details click here TRANSportation Data FORecasting Competition (TRANSFOR) 2013 TRB Annual Meeting Workshop For more details please go here We have a new LINKEDIN page here |
TRB Sessions 2013
ABJ80 sponsored (or co-sponsored) activities
(for full details click here)
Sunday, 1:30-4:30. Workshop 159
How Do You Turn This Driving Simulator On? Tutorial for Traffic Engineering and Roadway Design Research Using Driving Simulation
Susan Chrysler & Linda Ng Boyle, presiding
Sunday, 1:30-4:30. Workshop 192
Transportation Data Forecasting Competition
Matthew G. Karlaftis, National Technical University of Athens, Greece, presiding
Monday, 1:30-3:15 pm, Session 302
Ensuring Data Quality: What Are the Pitfalls and How Can We Overcome Them?
Robert A. Scopatz, Data Nexus, Inc., presiding
Clifford H. Spiegelman, Texas A&M University System, presiding
Tuesday, 8:00-noon, Statistical Methodology Committee
Linda Ng Boyle, University of Washington, presiding
Tuesday, 4:15-6:00 pm, POSTER Session 658
Statistical Methods Research for Transportation
Linda Ng Boyle, University of Washington, presiding
(for full details click here)
Sunday, 1:30-4:30. Workshop 159
How Do You Turn This Driving Simulator On? Tutorial for Traffic Engineering and Roadway Design Research Using Driving Simulation
Susan Chrysler & Linda Ng Boyle, presiding
Sunday, 1:30-4:30. Workshop 192
Transportation Data Forecasting Competition
Matthew G. Karlaftis, National Technical University of Athens, Greece, presiding
Monday, 1:30-3:15 pm, Session 302
Ensuring Data Quality: What Are the Pitfalls and How Can We Overcome Them?
Robert A. Scopatz, Data Nexus, Inc., presiding
Clifford H. Spiegelman, Texas A&M University System, presiding
Tuesday, 8:00-noon, Statistical Methodology Committee
Linda Ng Boyle, University of Washington, presiding
Tuesday, 4:15-6:00 pm, POSTER Session 658
Statistical Methods Research for Transportation
Linda Ng Boyle, University of Washington, presiding
TRANSportation Data FORecasting Competition (TRANSFOR)
2013 TRB Annual Meeting Workshop
Sponsoring Committee: ABJ70 Artificial Intelligence and Advanced Computing Applications
Co-Sponsoring Committees: ABJ00 Data Section, ABJ80 Statistical Methodology, ABJ20 Statewide Transportation Data and Information Systems, ABJ50 on Information Systems and Technology
Call Description: Successfully estimating the future conditions– in both short and longer horizons - is a perquisite for designing, implementing and operating efficient transportation systems and infrastructure. As a result, transportation forecasting has attracted considerable attention by both the transportation academia and practice, with efforts ranging from classical statistics to a vast array of computational intelligence (CI) techniques.
For complete details go here
Sponsoring Committee: ABJ70 Artificial Intelligence and Advanced Computing Applications
Co-Sponsoring Committees: ABJ00 Data Section, ABJ80 Statistical Methodology, ABJ20 Statewide Transportation Data and Information Systems, ABJ50 on Information Systems and Technology
Call Description: Successfully estimating the future conditions– in both short and longer horizons - is a perquisite for designing, implementing and operating efficient transportation systems and infrastructure. As a result, transportation forecasting has attracted considerable attention by both the transportation academia and practice, with efforts ranging from classical statistics to a vast array of computational intelligence (CI) techniques.
For complete details go here
TRB Sessions 2012
Sessions Sponsored or Co-Sponsored by Statistics Methodology Committee
| Select | Type | No. | Sponsor | Function Title | Location | Time |
|---|---|---|---|---|---|---|
| M | ABJ80 | Statistical Methodology Committee | Marriott | Jan 23 2012 8:00AM- 12:00PM | ||
| W | 144C | FA000 | Working in the Data Mines: SHRP 2 Naturalistic Driving Study Data Set | Marriott | Jan 22 2012 9:00AM- 5:00PM | |
| W | 146 | ABJ80 | Microsimulation and Design of Experiments: An Introduction | Marriott | Jan 22 2012 9:00AM- 5:00PM | |
| W | 150 | ABJ80 | Artificial or Real Intelligence? Pros and Cons of Statistics and AI Approaches Using Benchmark Data Sets in Transportation | Marriott | Jan 22 2012 1:30PM- 4:30PM | |
| S | 505 | ABJ95 | First U.S. Department of Transportation Data Visualization Student Challenge | Marriott | Jan 24 2012 10:15AM- 12:00PM | |
| P | 708 | ABJ80 | Statistical Research for Transportation Applications | Marriott | Jan 25 2012 8:30AM- 10:15AM |
For details on each session click on the session title or click here
TRB 2012 Wokshop Session
Microsimulation and Design of Experiments: An Introduction
Jan 22 2012 9:00AM- 5:00PM
Program Details
This workshop provides an introduction to the design of experiments for traffic microsimulation models, applications, verification, validation, and calibration to practicing transportation professionals and graduate students. The workshop will demonstrate the analytical tools described with traffic microsimulation models that have been used for real-world applications.
Jan 22 2012 9:00AM- 5:00PM
Program Details
This workshop provides an introduction to the design of experiments for traffic microsimulation models, applications, verification, validation, and calibration to practicing transportation professionals and graduate students. The workshop will demonstrate the analytical tools described with traffic microsimulation models that have been used for real-world applications.
Feedback and Comments
Please contact Naveen Eluru [naveen dot eluru at mcgill.ca]
