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Hossein Hashemi
Hossein Hashemi
Senior Manager, Data Science - Walmart Global Tech
Verified email at walmart.com - Homepage
Title
Cited by
Cited by
Year
End‐to‐end deep learning methodology for real‐time traffic network management
H Hashemi, K Abdelghany
Computer‐Aided Civil and Infrastructure Engineering 33 (10), 849-863, 2018
602018
Real-Time Traffic Network State Estimation and Prediction with Decision Support Capabilities: Application to Integrated Corridor Management
KA Hossein Hashemi
Transportation Research Part C: Emerging Technologies 73, 128-146, 2016
512016
Real-Time Traffic Network State Prediction for Proactive Traffic Management
H Hashemi, K Abdelghany
Transportation Research Record: Journal of the Transportation Research Board …, 2015
29*2015
Real-time traffic network state prediction for proactive traffic management: Simulation experiments and sensitivity analysis
H Hashemi, K Abdelghany
Transportation Research Record 2491 (1), 22-31, 2015
292015
An optimization‐based traffic diversion model during construction closures
A Memarian, JM Rosenberger, SP Mattingly, JC Williams, H Hashemi
Computer‐Aided Civil and Infrastructure Engineering 34 (12), 1087-1099, 2019
212019
A decision support system for proactive-robust traffic network management
K Abdelghany, H Hashemi, ME Khodayar
IEEE Transactions on Intelligent Transportation Systems 20 (1), 297-312, 2018
182018
Modeling framework and decomposition scheme for on‐demand mobility services with ridesharing and transfer
S Lotfi, K Abdelghany, H Hashemi
Computer‐Aided Civil and Infrastructure Engineering 34 (1), 21-37, 2019
152019
Parallel all-pairs shortest path algorithm: Network decomposition approach
K Abdelghany, H Hashemi, A Alnawaiseh
Transportation Research Record 2567 (1), 95-104, 2016
132016
An iterative learning approach for network contraction: Path finding problem in stochastic time‐varying networks
F Fakhrmoosavi, A Zockaie, K Abdelghany, H Hashemi
Computer‐Aided Civil and Infrastructure Engineering 34 (10), 859-876, 2019
122019
Flow-based and density-based time-dependent demand estimation for congested urban transportation networks
K Abdelghany, A Hassan, A Alnawaiseh, H Hashemi
Transportation Research Record 2498 (1), 27-36, 2015
122015
Integrated method for online calibration of real-time traffic network management systems
H Hashemi, K Abdelghany
Transportation Research Record 2528 (1), 106-115, 2015
112015
A multi-agent learning approach for online calibration and consistency checking of real-time traffic network management systems
H Hashemi, K Abdelghany, A Abdelghany
Transportmetrica B: Transport Dynamics 5 (3), 369-389, 2017
92017
Decomposition of stochastic time-varying networks for the path-finding problem considering travel time correlations and heterogeneity of users
F Fakhrmoosavi, A Zockaie, K Abdelghany, H Hashemi
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
82018
Modeling framework to identify an affected area for developing traffic management strategies
A Memarian, SP Mattingly, JM Rosenberger, JC Williams, SA Ardekani, ...
Journal of Transportation Engineering, Part A: Systems 144 (10), 04018059, 2018
52018
Predictive distance-based toll optimization under elastic demand for real-time traffic management
VA Vu, H Hashemi, R Seshadri, S Gupta, G Tan, AA Prakash, ...
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
32018
Evaluating the Effectiveness of Traffic Network Management Systems for Congested Corridors: A Simulation Testbed and Analysis
H Hashemi, K Abdelghany, B Yelchuru, I Zohdy
Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016
32016
Real-time traffic network management system with decision support capabilities
H Hashemi
Southern Methodist University, 2016
12016
A Simulation Test-Bed for Evaluating Active Traffic Network Management Systems
H Hashemi, K Abdelghany
Proceedings of the 21st Intelligent Transportation Systems (ITS) World …, 2014
12014
Khaled Abdelghany (Corresponding Author)
A Alnawaiseh, H Hashemi
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Articles 1–19