Data collection of freeway travel time ground truth with bluetooth sensors A Haghani, M Hamedi, KF Sadabadi, S Young, P Tarnoff Transportation Research Record 2160 (1), 60-68, 2010 | 301 | 2010 |
Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach Y Chen, J Gonder, S Young, E Wood Transportation Research Part A: Policy and Practice 122, 134-145, 2019 | 110 | 2019 |
Continuing evolution of travel time data information collection and processing PJ Tarnoff, DM Bullock, SE Young, J Wasson, N Ganig, JR Sturdevant Transportation Research Board 88th Annual MeetingTransportation Research Board, 2009 | 94 | 2009 |
Potentials for platooning in US highway freight transport M Muratori, J Holden, M Lammert, A Duran, S Young, J Gonder National Renewable Energy Lab.(NREL), Golden, CO (United States) 10 (NREL/CP …, 2017 | 80 | 2017 |
Use of shared automated vehicles for first-mile last-mile service: Micro-simulation of rail-transit connections in Austin, Texas Y Huang, KM Kockelman, V Garikapati, L Zhu, S Young Transportation research record 2675 (2), 135-149, 2021 | 77 | 2021 |
Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach Y Chen, L Zhu, J Gonder, S Young, K Walkowicz Transportation Research Part C: Emerging Technologies 83, 134-145, 2017 | 74 | 2017 |
Freeway travel time ground truth data collection using bluetooth sensors A Haghani, M Hamedi, KF Sadabadi, S Young, P Tarnoff Transportation Research Record, Journal of Transportation Research Board …, 2010 | 69 | 2010 |
Shared automated mobility and public transport J Lazarus, S Shaheen, SE Young, D Fagnant, T Voege, W Baumgardner, ... Road Vehicle Automation 4, 141-161, 2018 | 58 | 2018 |
Performance characterization of arterial traffic flow with probe vehicle data SM Remias, AM Hainen, CM Day, TM Brennan Jr, H Li, ... Transportation research record 2380 (1), 10-21, 2013 | 58 | 2013 |
Monitoring a mobile device SE Young, P Tarnoff, NJ Ganig US Patent 8,280,617, 2012 | 53 | 2012 |
Municipal adaptation to changing curbside demands: Exploratory findings from semi-structured interviews with ten US cities P Butrina, S Le Vine, A Henao, J Sperling, SE Young Transport Policy 92, 1-7, 2020 | 42 | 2020 |
Bluetooth traffic monitoring technology: Concept of operation & deployment guidelines S Young Center for Advanced Transportation Technology, University of Maryland …, 2008 | 40 | 2008 |
Novel and practical method to quantify the quality of mobility: Mobility energy productivity metric Y Hou, V Garikapati, A Nag, SE Young, T Grushka Transportation Research Record 2673 (10), 141-152, 2019 | 35 | 2019 |
Charging electric vehicles in smart cities: An EVI-Pro analysis of columbus, ohio EW Wood, CL Rames, M Muratori, S Srinivasa Raghavan, SE Young National Renewable Energy Lab.(NREL), Golden, CO (United States), 2018 | 33 | 2018 |
Real-time traffic operations data using vehicle probe technology S Young Proceedings of the 2007 Mid-Continent Transportation Research Symposium, 16-17, 2007 | 28 | 2007 |
Computing performance measures with national performance management research data set K Kaushik, E Sharifi, SE Young Transportation Research Record 2529 (1), 10-26, 2015 | 23 | 2015 |
Morgantown people mover: updated description. S Raney, SE Young Cities21, 2005 | 23 | 2005 |
Modeling and control using stochastic distribution control theory for intersection traffic flow H Wang, SV Patil, HMA Aziz, S Young IEEE Transactions on Intelligent Transportation Systems 23 (3), 1885-1898, 2020 | 19 | 2020 |
Airport analyses informing new mobility shifts: Opportunities to adapt energy-efficient mobility services and infrastructure A Henao, J Sperling, SE Young, V Garikapati, Y Hou National Renewable Energy Lab.(NREL), Golden, CO (United States), 2018 | 19 | 2018 |
Quantifying the mobility and energy benefits of automated mobility districts using microscopic traffic simulation L Zhu, V Garikapati, Y Chen, Y Hou, HMA Aziz, S Young International Conference on Transportation and Development 2018, 98-108, 2018 | 18 | 2018 |