| Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city E Kassens-Noor, D Dake, T Decaminada, Z Kotval-K, T Qu, M Wilson, ... Transport Policy 99, 329-335, 2020 | 44 | 2020 |
| Mobility challenges and perceptions of autonomous vehicles for individuals with physical disabilities P Cordts, SR Cotten, T Qu, TR Bush Disability and health journal 14 (4), 101131, 2021 | 29 | 2021 |
| Traffic-load forecasting using weigh-in-motion data T Qu, CE Lee, L Huang University of Texas at Austin. Center for Transportation Research, 1997 | 29 | 1997 |
| Estimating the impact of freeway speed limits on automobile emissions T Qu, LR Rilett, J Zietsman 82nd Annual Meeting of Transportation Research Board, Washington DC, 2003 | 22 | 2003 |
| Forecasting bicycle and pedestrian usage and research data collection equipment. J Hudson, TB Qu, S Turner Texas Transportation Institute, 2010 | 17 | 2010 |
| Forecasting bicycle and pedestrian usage and research data collection equipment. J Hudson, TB Qu, S Turner Texas Transportation Institute, 2010 | 17 | 2010 |
| The disparate impact of COVID-19 pandemic on walking and biking behaviors T Qu, TJ Gates, C Xu, D Seguin, J Kay Transportation research part D: transport and environment 112, 103494, 2022 | 16 | 2022 |
| Developing twin cities arterial mobility performance measures using GPS speed data S Turner, TT Qu | 15 | 2013 |
| Evaluation of mobility performance with toll data for jingshen expressway in china TT Qu, D Li, JP Wikander Transportation Research Record 2451 (1), 77-87, 2014 | 6 | 2014 |
| Investigating the effect of freeway congestion thresholds on decision-making inputs T Qu Texas Transportation Institute, 2010 | 3 | 2010 |
| The Worst Are Always the Worst: Why Congestion Threshold Speeds Do Not Matter as Decision-Making Input TT Qu, TJ Lomax Transportation research record 2242 (1), 81-89, 2011 | 2 | 2011 |
| Analysis of Weigh-in-Motion (WIM) Data for Forecasting Traffic Loads T Qu University of Texas at Austin, 1996 | 2 | 1996 |
| Synthesis of National Best Practices on Pedestrian and Bicycle Design, Guidance, and Technology Innovations T Gates, TT Qu, J Kay, D Seguin, C Xu, P Savolainen, J Burley Michigan Department of Transportation. Research Administration, 2022 | 1 | 2022 |
| Demand analysis for a bike share system on the texas A&M university campus TT Qu, M Martin, MH Li Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 1 | 2014 |
| Digital storytelling: Effectiveness on study abroad experiential learning MH Li, T Qu, T Petersenn Landscape Research Record 5, 0 | 1 | |
| Are New Campus Mobility Trends Causing Health Concerns? Z Kotval-K, S Khandelwal, E Kassens-Noor, TT Qu, M Wilson Sustainability 16 (6), 2249, 2024 | | 2024 |
| Developing a Consistent Data Driven Methodology to Multimodal, Performance Based and Context Sensitive Design PT Savolainen, TJ Gates, TT Qu, A Bamney, H Jashami Michigan. Dept. of Transportation. Research Administration, 2022 | | 2022 |
| Pedestrian-Bicyclist Counting and Demand Study STTQ Robert Benz http://www.h-gac.com/community/qualityplaces/pedbike/publications/Pedestrian …, 2013 | | 2013 |
| Quality Control of Toll Data for Mobility Performance Measures on Jingshen Expressway in China TT Qu, D Li, JP Wikander Transportation Research Board 92nd Annual MeetingTransportation Research Board, 2013 | | 2013 |
| Traffic Congestion: Definition, Threshold, Performance Measurement and Investment Decisions TT Qu, T Lomax LAP LAMBERT Academic Publishing GmbH & Co., 2012 | | 2012 |
