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Rezaur Rahman
Rezaur Rahman
Senior Data Scientist
Verified email at amadeus.com - Homepage
Title
Cited by
Cited by
Year
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
342018
Real-time signal queue length prediction using long short-term memory neural network
R Rahman, S Hasan
Neural Computing and Applications (2020), 2020
242020
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
232021
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
182021
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
172021
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
112023
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
102023
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
102019
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
42022
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
42021
Applications of deep learning models for traffic prediction problems
R Rahman
42019
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
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