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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Fu, T., Hu, W., Miranda-Moreno, L., & Saunier, N. (2019). Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data. Transportation Research Part C: Emerging Technologies, 105, 222-240. External link
Fu, T., Beitel, D., Ledezma-Navarro, B., Zahabi, S. A., Saunier, N., & Miranda-Moreno, L. F. (2018, January). Investigating cyclist-pedestrian interactions at bus stops and non-signalized intersections using a distance-velocity model and speed measures derived from video data [Paper]. Transportation Research Board 97th Annual Meeting, Washington, D.C.. External link
Fu, T., Miranda-Moreno, L., & Saunier, N. (2018). A novel framework to evaluate pedestrian safety at non-signalized locations. Accident Analysis and Prevention, 111, 23-33. External link
Fu, T., Stipancic, J., Zangenehpour, S., Miranda-Moreno, L., & Saunier, N. (2017). Automatic traffic data collection under varying lighting and temperature conditions in multimodal environments: thermal versus visible spectrum video-based systems. Journal of Advanced Transportation, 2017, 1-15. Available
Fu, T., Stipancic, J., Zangenehpour, S., Miranda-Moreno, L. F., & Saunier, N. (2016, June). Automatic traffic data collection under varying lighting and temperature conditions in multimodal environments [Paper]. 26th Canadian Association of Road Safety Professionals (CARSP) Conference, Halifax, N.-S.. External link
Fu, T., Stipancic, J., Zangenehpour, S., Miranda-Moreno, L. F., & Saunier, N. (2016, January). A comparison of regular and thermal cameras for traffic data collection under varying lighting and temperature conditions in multimodal environments [Paper]. 95th Annual Meeting of the Transportation Research Board, Washington, DC. External link
Fu, T., Miranda-Moreno, L. F., & Saunier, N. (2017, June). A novel framework to evaluate yielding behavior and crossing decisions at non-signalized locations using video-based trajectory data [Paper]. 27th Canadian Association of Road Safety Professionals Conference (CARSP 2017), Toronto, Ontario. External link
Fu, T., Miranda-Moreno, L., & Saunier, N. (2016). Pedestrian crosswalk safety at nonsignalized crossings during nighttime use of thermal video data and surrogate safety measures. Transportation Research Record, 2586(1), 90-99. External link
Fu, T., Stipancic, J., Miranda-Moreno, L., Zangenehpour, S., & Saunier, N. (2016, September). Traffic Data Collection Using Thermal Camera Under Varying Lighting and Temperature Conditions in Multimodal Environments [Paper]. Conference and Exhibition of the Transportation Association of Canada (TAC 2016), Toronto, Ont. (20 pages). External link
Fu, T., Zangenehpour, S., St-Aubin, P., Fu, L., & Miranda-Moreno, L. F. (2015). Using microscopic video data measures for driver behavior analysis during adverse winter weather: opportunities and challenges. Journal of Modern Transportation, 23(2), 81-92. Available
Fu, T., Zangenehpour, S., Miranda-Moreno, L. F., Niaki, M. S. N., Saunier, N., Amador, L., & Fu, L. (2015, May). Surrogate safety measures for crosswalk safety at non-signalized crossings during nighttime with the use of thermal videos: A case study in Montréal [Paper]. Canadian Association of Road Safety Professionals (CARSP) Conference, Ottawa, Canada. External link
Navarro, B., Miranda-Moreno, L., Saunier, N., Labbe, A., & Fu, T. (2022). Do stop-signs improve the safety for all road users? A before-after study of stop-controlled intersections using video-based trajectories and surrogate measures of safety. Accident Analysis and Prevention, 167, 106563 (16 pages). External link
Nabavi Niaki, M. S., Fu, T., Saunier, N., Miranda-Moreno, L. F., Amador-Jimenez, L., & Bruneau, J.-F. (2015, January). Effects of road lighting on bicycle and pedestrian accident frequency: Case study in Montréal, Canada [Paper]. 95th Annual Meeting of the Transportation Research Board, Washington, DC. External link
Nabavi Niaki, M. S., Fu, T., Saunier, N., Miranda-Moreno, L. F., Amador, L., & Bruneau, J.-F. (2016). Road lighting effects on bicycle and pedestrian accident frequency: case study in Montréal, Québec, Canada. Transportation Research Record, 2555(1), 86-94. External link
St-Aubin, P., Ledezma-Navarro, B., Labbe, A., Fu, T., Saunier, N., & Miranda-Moreno, L. F. (2018, January). Speed at partially and fully stop-controlled intersections [Paper]. Transportation Research Board 97th Annual Meeting, Washington, D.C.. External link
