| Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees Y Pan, S Chen, F Qiao, SV Ukkusuri, K Tang Science of the Total Environment 660, 741-750, 2019 | 98 | 2019 |
| Intelligent simulation and prediction of traffic flow dispersion F Qiao, H Yang, WHK Lam Transportation Research Part B: Methodological 35 (9), 843-863, 2001 | 94 | 2001 |
| Fuzzy logic based intersection delay estimation F Qiao, P Yi, H Yang, S Devarakonda Mathematical and computer modelling 36 (11-13), 1425-1434, 2002 | 66 | 2002 |
| Temporal characteristics and forecasting of PM2. 5 concentration based on historical data in Houston, USA J Du, F Qiao, L Yu Resources, Conservation and Recycling 147, 145-156, 2019 | 45 | 2019 |
| Impacts of pavement types on in-vehicle noise and human health Q Li, F Qiao, L Yu Journal of the Air & Waste Management Association 66 (1), 87-96, 2016 | 42 | 2016 |
| Will vehicle and roadside communications reduce emitted air pollution Q Li, F Qiao, L Yu International Journal of Science and Technology 5 (1), 17-23, 2015 | 42 | 2015 |
| Socio-demographic impacts on lane-changing response time and distance in work zone with Drivers' Smart Advisory System Q Li, F Qiao, L Yu Journal of traffic and transportation engineering (English edition) 2 (5 …, 2015 | 40 | 2015 |
| Vehicle emission implications of drivers’ smart advisory system for traffic operations in work zones Q Li, F Qiao, L Yu Journal of the air & waste management association 66 (5), 446-455, 2016 | 37 | 2016 |
| Application and evaluation of the reinforcement learning approach to eco-driving at intersections under infrastructure-to-vehicle communications J Shi, F Qiao, Q Li, L Yu, Y Hu Transportation Research Record 2672 (25), 89-98, 2018 | 35 | 2018 |
| Drivers' smart advisory system improves driving performance at STOP sign intersections Q Li, F Qiao, X Wang, L Yu Journal of traffic and transportation engineering (English edition) 4 (3 …, 2017 | 35 | 2017 |
| Approach to development and evaluation of driving cycles for classified roads based on vehicle emission characteristics L Yu, Z Wang, F Qiao, Y Qi Transportation Research Record 2058 (1), 58-67, 2008 | 35 | 2008 |
| Neural network approach to classification of traffic flow states H Yang, F Qiao Journal of Transportation Engineering 124 (6), 521-525, 1998 | 32 | 1998 |
| Understanding and estimating the carbon dioxide emissions for urban buses at different road locations: A comparison between new-energy buses and conventional diesel buses Y Pan, F Qiao, K Tang, S Chen, SV Ukkusuri Science of the total environment 703, 135533, 2020 | 29 | 2020 |
| Optimizing aggregation level for intelligent transportation system data based on wavelet decomposition F Qiao, X Wang, L Yu Transportation research record 1840 (1), 10-20, 2003 | 27 | 2003 |
| Drivers’ smart assistance system based on radio frequency identification: Enhanced safety and reduced emissions in work zones F Qiao, J Jia, L Yu, Q Li, D Zhai Transportation Research Record 2458 (1), 37-46, 2014 | 26 | 2014 |
| On-road vehicle emission and activity data collection and evaluation in Houston, Texas F Qiao, L Yu, M Vojtisek-Lom Transportation research record 1941 (1), 60-71, 2005 | 26 | 2005 |
| Genetic Algorithm–Based Approach to Develop Driving Schedules to Evaluate Greenhouse Gas Emissions from Light-Duty Vehicles L Yu, X Zhang, F Qiao, Y Qi Transportation research record 2191 (1), 166-173, 2010 | 24 | 2010 |
| Double-sided determination of aggregation level for intelligent transportation system data F Qiao, L Yu, X Wang Transportation research record 1879 (1), 80-88, 2004 | 23 | 2004 |
| A machine learning approach for light-duty vehicle idling emission estimation based on real driving and environmental information Q Li, F Qiao, L Yu Environ Pollut Climate Change 1 (106), 2, 2016 | 22 | 2016 |
| Smart phone based forward collision warning messages in work zones to enhance safety and reduce emissions R Rahman, F Qiao, Q Li, L Yu, PH Kuo Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015 | 22 | 2015 |
Hai YangThe Hong Kong University of Science and TechnologyVerified email at ust.hk
