Short-Term Traffic Speed Prediction for Freeways During Hurricane Evacuation: A Deep Learning Approach R Rahman, S Hasan 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 34 | 2018 |
Real-time signal queue length prediction using long short-term memory neural network R Rahman, S Hasan Neural Computing and Applications (2020), 2020 | 24 | 2020 |
Towards reducing the number of crashes during hurricane evacuation: Assessing the potential safety impact of adaptive cruise control systems R Rahman, S Hasan, MH Zaki Transportation research part C: emerging technologies 128, 103188, 2021 | 23 | 2021 |
Assessing the crash risks of evacuation: A matched case-control approach applied over data collected during Hurricane Irma R Rahman, T Bhowmik, N Eluru, S Hasan Accident Analysis & Prevention 159, 106260, 2021 | 18 | 2021 |
Real-time twitter data mining approach to infer user perception toward active mobility R Rahman, K Redwan Shabab, K Chandra Roy, MH Zaki, S Hasan Transportation research record 2675 (9), 947-960, 2021 | 17 | 2021 |
Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using Graph Convolutional Neural Network R Rahman, S Hasan Data Science for Transportation 5 (2), 11, 2023 | 11 | 2023 |
A deep learning approach for network-wide dynamic traffic prediction during hurricane evacuation R Rahman, S Hasan Transportation research part C: emerging technologies 152, 104126, 2023 | 10 | 2023 |
Sharing real-time traffic information with travelers using Twitter: An analysis of effectiveness and information content R Rahman, KC Roy, M Abdel-Aty, S Hasan Frontiers in Built Environment 5, 83, 2019 | 10 | 2019 |
A data-driven network model for traffic volume prediction at signalized intersections R Rahman, J Zhang, SD Tirtha, T Bhowmik, I Jahan, N Eluru, S Hasan Journal of big data analytics in transportation 4 (2), 135-152, 2022 | 4 | 2022 |
Understanding network wide hurricane evacuation traffic pattern from large-scale traffic detector data R Rahman, KC Roy, S Hasan 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 4 | 2021 |
Applications of deep learning models for traffic prediction problems R Rahman | 4 | 2019 |
Assessing Crash Risks of Evacuation Traffic: A Simulation-based Approach R Rahman, S Hasan | 1* | 2020 |
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach MM Rashid, R Rahman, S Hasan arXiv preprint arXiv:2311.09498, 2023 | | 2023 |
A review of deep learning-based approaches and use cases for traffic prediction R Rahman, J Zhang, S Hasan Handbook on Artificial Intelligence and Transport, 80-101, 2023 | | 2023 |
Traffic Volume Prediction with Automated Signal Performance Measures (ATSPM) Data L Kazenmayer, G Ford, J Zhang, R Rahman, F Cimen, D Turgut, S Hasan 2022 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2022 | | 2022 |
Phase II-ATTAIN: Improving Vulnerable Road Users’ Safety Based on Computer-Vision Technologies and High-fidelity Hybrid Traffic Forecasting Tool for Urban Transportation … S Hasan, N Eluru, T Bhowmik, R Rahman, J Zhang, SD Tirtha, KC Roy | | 2021 |
Data Driven Methods for Large Scale Network Level Traffic Modeling R Rahman | | 2021 |
Inferring User Perception towards Active Mobility: A Real-Time Twitter Data Mining Approach to Evaluate Qualitative Level of Service for Active Transportation Facilities R Rahman, KR Shabab, KC Roy, MH Zaki, S Hasan Transportation Research Board 100th Annual MeetingTransportation Research Board, 2021 | | 2021 |
Designing a mobility model using large-scale data L Kazenmayer, G Ford, J Zhang, R Rahman, F Cimen, D Turgut, S Hasan Transportation Research Part C: Emerging Technologies 79, 1-17, 2017 | | 2017 |
Congestion Pricing Policy and Related Benefits for Dhaka City MT Rahman, MS Hoque, R Rahman International Conference on Recent Innovation in Civil Engineering for …, 2015 | | 2015 |