| ABJ30 - Urban Transportation Data and Information Systems |
TPS11-016
Reporting Out on Current Urban Data Research Catherine Theresa Lawson, State University of New York, Albany, presiding Sponsored by Committee on Urban Transportation Data and Information Systems Overview of the NCHRP Process: Ideas to Results (P11-0663) Nanda N. Srinivasan, Transportation Research Board Principal Investigator Panel (P11-0846) Craig Paul Secrest, High Street Consulting Group, LLC Krishnan Viswanathan, Cambridge Systematics, Inc. David B. Roden, AECOM Consult Inc. MPO Reflections and Suggestions (P11-0689) Vladimir Livshits, Maricopa Association of Governments TPS11-018 Focus on Passenger Travel Data for Livability: Seventh Annual Travel Data Users Forum Ed Christopher, Federal Highway Administration, presiding Sponsored by Committee on Urban Transportation Data and Information Systems; Committee on National Transportation Data Requirements and Programs; Committee on Statewide Transportation Data and Information Systems Livability--Setting the Stage with Data (P11-1241) Mary Lynn Tischer, U.S. Department of Transportation National Household Travel Survey and Livability (P11-0902) Nancy McGuckin, Consultant Local Household Travel Surveys and Livability (P11-0903) Stacey Bricka, Texas Transportation Institute Census Data for Livability (P11-1293) Elaine Murakami, Federal Highway Administration National Transit Data Base and Livability (P11-1303) Bicycle, Pedestrian Data and Livability (P11-1305) Shawn M. Turner, Texas Transportation Institute Modeled Data and Travel Networks to Support Livability Analysis (P11-1295) Christopher Thomas Hiebert, Southeastern Wisconsin Regional Planning Commission
TPP11-004
(12) Data for the New Decade: Sources, Quality, and Applications Catherine Theresa Lawson, State University of New York, Albany, presiding Sponsored by Committee on Urban Transportation Data and Information Systems; Committee on Information Systems and Technology; Committee on Highway Traffic Monitoring; Committee on Geospatial Data Acquisition Technologies in Design and Construction As the new decade unfolds, new sources and uses of data will move transportation planning/research in new directions. This session provides a window into these emerging areas including: comparisons between usual and actual mode shares, using the National Household Travel Survey (NHTS); the examination of the relationship between graphical and topological features of traffic analysis zones (TAZs); and fuzzy binarization for vehicle license plate imaging. Is the Usual Share of a Commuting Mode always Greater than its Actual Share? (11-3388) Sujan Sikder, Center for Urban Transportation Research Xuehao Chu, University of South Florida Centrality characteristics of Traffic Analysis Zone Road Network Patterns (11-2604) Yuanyuan Zhang, Tongji University, China Xiaohong CHEN, Tongji University, China Peng ZENG, Tongji University, China A Method For License Plate Image Binarization Based On Chromatic Information And Fuzzy C-mean Approach (11-1039) Yun Wei, Southeast University Wei Huang, Southeast University, China Jingxin Xia, Southeast University, China Jianhua Guo, Southeast University An Automated Quality Assurance Methodology for Archived Transit Data from AVL-APC Systems (11-0661) Marian Saavedra, University of Waterloo, Canada Bruce Hellinga, University of Waterloo, Canada Jeffrey Casello, University of Waterloo, Canada Algorithm for finding optimal paths in a public transit network with real-time data (11-3791) Jerald Jariyasunant, University of California, Berkeley From Idealism To Realism: Lessons Learned From Development Of Standards-based Software For Advanced Public Transportation Systems (11-2254) Sean J. Barbeau, University of South Florida Nevine Labib Georggi, University of South Florida Philip L. Winters, University of South Florida Marcy E. Gordon, University of South Florida Automated Data Processing for Microscopic Traffic Simulation Models to Assist Work Zone Impact Analysis (11-2905) Hubo Cai, Purdue University Jun-Seok Oh, Western Michigan University C. Y. David Yang, Federal Highway Administration Development of a Web-based Arterial Network Analysis System for Real-time Decision Making (11-3922) Yao-Jan Wu, University of Washington Xiaolei Ma, University of Washington Yinhai Wang, University of Washington Unmanned Aerial Vehicle Cruise Route Optimization Model For Sparse Road-network (11-4081) Qingyu Yan, Tongji University, Shanghai, CHINA Zhong-Ren Peng, University of Florida Yun-Tao Chang, School of Transportation Engineering, Tongji University A New Encoding Scheme Based Road Edges Detection Algorithm (11-4059) Wenhua Jiang, Tongji University, Shanghai, CHINA Yuntao Chang, School of Transportation Engineering, Tongji University Zhong-Ren Peng, University of Florida Three-dimensional Road Geometry Provides Precise Knowledge Of The Road Ahead To Support Intelligent Automotive Applications (11-3814) Xiaopeng Li, Intermap Technologies Corp Innovative Stereo Vision-Based Approach to Generate Dense Depth Map of Transportation Infrastructure (11-1244) Abbas Rashidi, Georgia Institute of Technology Habib Fathi, Georgia Institute of Technology Ioannis Brilakis, Georgia Institute of Technology TPP11-007 (10) Using Probe Vehicles and Modeling to Estimate Travel Times Michael Daniel Fontaine, Virginia Transportation Research Council, presiding Sponsored by Committee on Urban Transportation Data and Information Systems Travel time data has become increasingly important to transportation agencies and the private sector, leading to a number of innovations in how this data is collected, processed, and used. This session will explore emerging methods of collecting travel time data, with a focus on probe vehicle-based methods like Bluetooth MAC address matching, automatic vehicle identification, and GPS equipped probe vehicles. Innovative modeling approaches estimate travel times and speeds by fusing probe data. Evaluation of Recurrent Congestion in a Traffic Network Using Gps Technology (11-3164) Sami Demiroluk, Rutgers University Hediye Tuydes, Middle East Technical University, Turkey Link Journey Speed Estimation for Urban Arterial Performance Measurement using Advance Loop Detector Data under Congested Conditions (11-2745) Yao-Jan Wu, University of Washington Guohui Zhang, University of Texas, Austin Yinhai Wang, University of Washington Evaluation of Technologies for Freeway Travel Time Estimation: A Case Study of I-287 in New Jersey (11-2629) Kitae Kim, New Jersey Institute of Technology Steven I. Chien, New Jersey Institute of Technology Lazar N. Spasovic, New Jersey Institute of Technology Travel Time Quality in a Probe Vehicle Network (11-2200) Seth Rogers, Dash Navigation A Travel Time-to-destination Analysis In Urban Metropolitan Areas (11-2120) Panagiotis Ch. Anastasopoulos, Purdue University Mouyid Bin Islam, Purdue University Matthew G. Karlaftis, National Technical University of Athens, Greece An Innovative Real-Time Methodology for Detecting Travel Time Outliers on Freeways and Urban Arterials (11-2038) Daniel Van Boxel, Consultant William Henry Schneider, University of Akron Casey Bakula, Akron University Arterial Travel Time Characterization and Real-time Traffic Condition Identification Using GPS-equipped Probe Vehicles (11-2018) Yiheng Feng, University of Minnesota, Twin Cities Gary A. Davis, University of Minnesota John Hourdos, University of Minnesota, Twin Cities Travel Time Prediction Using the K-Nearest Neighborhood Method with Combined VDS and TCS Data (11-1609) Jiwon Myung, Seoul Development Institute, South Korea Dong-Kyu Kim, Seoul National University, South Korea Seung-Young Kho, Seoul National University, South Korea A Sampling Technique for Estimating Route Choice and Travel Time Reliability using Field Observations of Bluetooth Probe Vehicles (11-0462) Alexander Michael Hainen, Purdue University Jay Wasson, Indiana Department of Transportation Sarah Lillo Hubbard, Purdue University Stephen Matthew Remias, Purdue University Grant David Farnsworth, Purdue University Darcy M. Bullock, Purdue University Analysis of Freeway Travel Time Variability Using Bluetooth Detection (11-0228) Maria Martchouk, Purdue University Fred L. Mannering, Purdue University Darcy M. Bullock, Purdue University
TPW11-003
Using American Community Survey Data for Transportation Planning Kristen Rohanna, San Diego Association of Governments, presiding Sponsored by Committee on Urban Transportation Data and Information Systems This workshop will discuss using American Community Survey (ACS) data for transportation planning. Information will be provided about using ACS Public Use Microdata Sample data, including analyzing data about special populations such as the disabled. Additionally, the workshop will provide information about the upcoming ACS Census for Transportation Planning Product. American Community Survey: Where and When to get the Data (P11-1066) Brian McKenzie, Census Bureau Census Transportation Planning Products Based on 3-year ACS: Its Many Uses (P11-1067) Penelope Weinberger, AASHTO Efforts to Disclosure Proof Small-Area ACS Data for the CTPP (P11-1069) Tom Krenzke, Westat Census 2010: It's in our Hands, and When it will be in Yours (P11-1072) Alison Fields, Census Bureau TAZ delineation for CTPP: Where, When and How (P11-1073) April Avnayim, Census Bureau Jeffrey Ocker, Census Bureau Shonin Anacker, Census Bureau
TPM11-005
Urban Transportation Data and Information Systems Committee Catherine Theresa Lawson, State University of New York, Albany, presiding Sponsored by Committee on Urban Transportation Data and Information Systems TPM11-028 Census for Transportation Planning Subcommittee, ABJ30(1) Catherine Theresa Lawson, State University of New York, Albany, presiding Sponsored by Committee on Urban Transportation Data and Information Systems |
| ABJ30 Cosponsored Sessions (only editable by the primary committee sponsor) |
Current Freight Research and the Implications for Freight Data
Scott Drumm, Port of Portland, presiding Overview of Completed NCFRP Projects and Their Relationship to Freight Data (P11-1187) Alison J. Conway, City College of New York Garreth Rempel, University of Manitoba, Canada SHRP-2 and Freight Data (P11-1188) David J. Plazak, Transportation Research Board Opportunities & Issues Panel (P11-1189) Timothy J. Lomax, Texas Transportation Institute Donald B. Ludlow, Cambridge Systematics, Inc. Frank Southworth, Georgia Institute of Technology School of Civil and Environmental Engineering
Use of Private Sector and Blended Private–Public Sector Speed Data by Public Agencies for Planning and Operations
Steve Taylor, Jacobs Engineering Group Inc., presiding This workshop will address the use of private sector speed data by public agencies. Sometimes this speed data is wholly generated by the private sector; in other cases, the private sector data is blended with public sector data. Often, this private sector speed data is collected and disseminated as real-time traveler information; however, when archived unrestrictedly, this speed data has potential to be used for numerous operational and planning applications. Private Sector Data Options for Assessment of System Performance (P11-1408) Ted Trepanier, INRIX Success of Public/Private Partnerships in the Distribution of Quality Data (P11-1410) Terri Zorko Johnson, NAVTEQ Use of Private Sector Data and Technology for Public/Private Partnership Opportunities (P11-1411) Tim Courtney, TrafficCast Benefactors: TTI Experience with Private Sector Speed Data for Performance Monitoring (P11-1412) Shawn M. Turner, Texas Transportation Institute Using Private Sector Speed Data in Regional Transportation Modeling and Planning (P11-1413) Vladimir Livshits, Maricopa Association of Governments Wang Zhang, Maricopa Association of Governments Minnesota DOT Perspective on use of Private Sector Data for Planning (P11-1414) Paul Czech, Minnesota DOT Using Private Innovation to Expand Public Reach (P11-1415) Gregory D. Krueger, Michigan Department of Transportation
Current and Emerging Practices in Collecting and Estimating External Travel
Edwin N. Hard, Texas Transportation Institute, presiding This workshop will address the importance of external travel in urban areas, current practices in external data collection, synthetic models for estimating external travel, analysis and use of external data, and emerging data collection technologies. It will include issues and lessons learned in roadside intercept and license surveys; external data for regional and state-wide models; external freight traffic; and video, cellular, GPS, other potential means of collecting external data. Field Practices in External Survey Data Collection (P11-1280) J. D. Allen, Alliance Transportation Group, Inc. ALPR Camera Surveys in Ohio, Experience and Lessons Learned (P11-1281) Greg Giamo, Ohio DOT Collecting External Data Using Bluetooth Technology (P11-1287) Tony Voigt, Texas Transportation Institute Synthesized Through Trip Models and Economy-Based External Trip Models for Small and Medium Urban Areas (P11-1290) Yang Han, Thomas Jefferson Planning District Commission & Charlottesville-Albemarle MPO Estimating Through Trips Using a Two-Phased Logit Model (P11-1291) Steve Farnsworth, Texas Transportation Institute
National Household Travel Survey: Data Tools and Overview of Trends
Nancy McGuckin, Consultant, presiding The 2009 National Household Travel Survey is the latest in a 40-year data series on personal travel in the US. This workshop will showcase analysis tools to help NHTS users get a jumpstart on using NHTS data for their work and research. New content will be highlighted, and creative data analyses to answer new policy questions and understand travel behavior trends will be presented using the NHTS data series. This will be a “hands” on workshop. Please bring a laptop to access the data. Welcome and Introduction (P11-1110) Adella Santos, Federal Highway Administration Highlights of the Enhancement and Weighting Methodology (P11-1111) Robert Santos, The Urban Institute Understanding NHTS Data Structure and Key Variables (P11-1112) Nancy McGuckin, Consultant Website Tools and Running Your Data (P11-1113) Rick Goeltz, Oak Ridge National Laboratory Non Web-based Analysis – Demonstration (P11-1117) Hikari Nakamoto, Travel Behavior Analyst Lessons Learned and Future Plan (P11-1121) Tianjia Tang, Federal Highway Administration
Pervasive Data for Transportation: Innovations in Distributed and Mobile Information Discovery in ITS and LBS
Harvey J. Miller, University of Utah; Piyushimita (Vonu) Thakuriah, University of Illinois, Chicago, presiding Technological advances in mobile, sensing and wireless communication devices and their rapid deployment hold significant promises for improving transportation decision-making and service delivery. The workshop will provide a forum for the convergence of innovations in the efficient/effective use of such data in Intelligent Transportation Systems and Location-Based Overview of workshop goals and objectives (P11-1316) Harvey J. Miller, University of Utah Piyushimita (Vonu) Thakuriah, University of Illinois, Chicago Driving Your Phone: The Crowdsourcing of Traffic Information (P11-1304) Alexandre Bayen, University of California, Berkeley Advances in Mobile Computing: Why and How to Rank Information in Intelligent Transportation Systems (P11-1306) Ouri Wolfson, University of Illinois at Chicago Private Sector Perspective (P11-1310) Naveen Lamba, IBM IntelliDrive System Sources of Data (P11-1312) Walt Fehr, Research and Innovative Technology Administration USDOT's perspective on data collection, aggregation and distribution (P11-1313) Walter During, Federal Highway Administration Travel behavior analysis in a dynamically changing environment (P11-1314) Konstadinos G. Goulias, University of California, Santa Barbara Transportation Data Mining Challenges (P11-1315) Shashi Shekhar, University of Minnesota Moderated discussion (P11-1317) Piyushimita (Vonu) Thakuriah, University of Illinois, Chicago Harvey J. Miller, University of Utah |