Found 5 results
Filters: Author is Peyman Noursalehi [Clear All Filters]
Automated Information Extraction From Textual Data: Application In Transit Disruption Management. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020.
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2020.
Machine-learning-augmented analysis of textual data: application in transit disruption management. IEEE Open Journal of Intelligent Transportation Systems. 2020.
Predictive decision support for real-time crowding prediction and information generation. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019.
Real time transit demand prediction capturing station interactions and impact of special events. Transportation Research Part C. 2018.