| A real-time adaptive signal control in a connected vehicle environment Y Feng, KL Head, S Khoshmagham, M Zamanipour Transportation Research Part C: Emerging Technologies 55, 460-473, 2015 | 643 | 2015 |
| Connected vehicle–based adaptive signal control and applications Y Feng, M Zamanipour, KL Head, S Khoshmagham Transportation Research Record 2558 (1), 11-19, 2016 | 49 | 2016 |
| Efficient priority control model for multimodal traffic signals M Zamanipour, KL Head, Y Feng, S Khoshmagham Transportation Research Record 2557 (1), 86-99, 2016 | 45 | 2016 |
| Real Time Performance Observation and Measurement in a Connected Vehicle Environment S Khoshmagham The University of Arizona, 2016 | 7 | 2016 |
| Travel time observation in privacy ensured connected vehicle environment using partial vehicle trajectories and extended tardity S Khoshmagham, Y Feng, M Zamanipour, KL Head Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015 | 6 | 2015 |
| Multimodal Data Analytics Comparative Visualization Tool: Case Study of Pedestrian Crossing Design S Khoshmagham, KL Head, Y Feng, M Zamanipour Transportation Research Record 2557 (1), 44-54, 2016 | 4 | 2016 |
| Performance assessment of multi-modal traffic system using micro-simulation methods S Khoshmagham, L Head, F Saleem Transportation Research Board 93rd Annual MeetingTransportation Research Board, 2014 | 4 | 2014 |
| Short-term traffic speed prediction and forecasting using machine learning analysis of spatiotemporal traffic speed dependencies in probe and weather data TE Symes, P Hosseini, S Khoshmagham US Patent 11,620,901, 2023 | 2 | 2023 |
| Systematic analysis of traffic signal coordination using connected-vehicle technology B Beak, KL Head, S Khoshmagham Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 2 | 2017 |
| et Zamanipour, M.(2015) Y Feng, KL Head, S Khoshmagham A real-time adaptive signal control in a connected vehicle environment …, 0 | 2 | |
| Travel Time and Flow Prediction Using a Machine Learning Algorithm to Optimize Traffic Responsive Coordination Plans: Santa Clara County Expressways S Khoshmagham, P Hosseini, S Perley, T Barkley, A Prasad Transportation Research Board Annual Meeting, 2019 | 1 | 2019 |
| Short-term traffic speed prediction and forecasting using machine learning analysis of spatiotemporal traffic speed dependencies in probe and weather data TE Symes, P Hosseini, S Khoshmagham US Patent App. 18/434,454, 2024 | | 2024 |
| Short-term traffic speed prediction and forecasting using machine learning analysis of spatiotemporal traffic speed dependencies in probe and weather data TE Symes, P Hosseini, S Khoshmagham US Patent 11,893,883, 2024 | | 2024 |
| Spatiotemporal Short-Term Traffic Speed Prediction Using Machine Learning Techniques with Probe and Weather Data P Hosseini, M Qraitem, T Symes, S Khoshmagham Transportation Research Board 100th Annual MeetingTransportation Research …, 2021 | | 2021 |
| A real-time adaptive signal phase allocation algorithm in a connected vehicle environment Y Feng, S Khoshmagham, M Zamanipour, KL Head Transportation Research Board 94th Annual MeetingTransportation Research Board, 2015 | | 2015 |
| Thursday September 26, 2013 S Khoshmagham, L Head, F Saleem | | |
K Larry HeadSystems and Industrial Engineering, University of Arizona在 sie.arizona.edu 的电子邮件经过验证
