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Majid Rostami-Shahrbabaki
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Binary particle swarm optimization: challenges and new solutions
H Nezamabadi-pour, M Rostami-Shahrbabaki, M Maghfoori-Farsangi
CSI J Comput Sci Eng 6 (1), 21-32, 2008
1442008
A data fusion approach for real-time traffic state estimation in urban signalized links
M Rostami Shahrbabaki, AA Safavi, M Papageorgiou, I Papamichail
Transportation Research Part C: Emerging Technologies 92, 525-548, 2018
1012018
State estimation in urban traffic networks: A two-layer approach
M Rostami-Shahrbabaki, AA Safavi, M Papageorgiou, P Setoodeh, ...
Transportation Research Part C: Emerging Technologies 115, 102616, 2020
352020
Plug-in electric vehicle optimization and management charging in a smart parking lot
SH Shamsdin, A Seifi, M Rostami-Shahrbabaki, B Rahrovi
2019 IEEE Texas Power and Energy Conference (TPEC), 1-7, 2019
232019
Lane-Free Traffic: History and State of the Art
M Sekeran, M Rostami-Shahrbabaki, AA Syed, M Margreiter, ...
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
152022
Network fundamental diagram based routing of vehicle fleets in dynamic traffic simulations
F Dandl, G Tilg, M Rostami-Shahrbabaki, K Bogenberger
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
142020
Modeling vehicle flocking in lane-free automated traffic
M Rostami-Shahrbabaki, S Weikl, T Niels, K Bogenberger
Transportation research record 2677 (9), 499-512, 2023
102023
Driving Strategy for Vehicles in Lane-Free Traffic Environment Based on Deep Deterministic Policy Gradient and Artificial Forces
M Berahman, M Rostmai-Shahrbabaki, K Bogenberger
IFAC-PapersOnLine 55 (14), 14-21, 2022
92022
A two-layer approach for vehicular flocking in lane-free environment
M Rostami-shahrbabaki, S Weikl, M Akbarzadeh, K Bogenberger
11th Triennal Symposium on Transportation Analysis (TRISTAN), 2022
92022
Fault detection in Kerman combined cycle power plant boilers by means of support vector machine classifier algorithms and PCA
M Berahman, AA Safavi, MR Shahrbabaki
The 3rd International Conference on Control, Instrumentation, and Automation …, 2013
92013
Intersection SPaT Estimation by means of Single-Source Connected Vehicle Data
M Rostami-Shahrbabaki, K Bogenberger, AA Safavi, A Moemeni
Transportation Research Board 99th Annual Meeting, 2020
52020
Multi-Task Vehicle Platoon Control: A Deep Deterministic Policy Gradient Approach
M Berahman, M Rostami-Shahrbabaki, K Bogenberger
Future Transportation 2 (4), 1028-1046, 2022
42022
Effects of Different Shares of Electric Vehicles in Cities on Global CO2 Emissions: A Microsimulation-Based Analysis
M Rostami-Shahrbabaki, F Fehn, GL Ricci, K Bogenberger
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
42021
Increasing the Capacity of a Lane-Free Beltway for Connected and Automated Vehicles Using Potential Lines
M Rostami-Shahrbabaki, H Zhang, M Sekeran, K Bogenberger
102nd Annual Meeting Transportation Research Board, 2023
32023
On the Technical Feasibility of Vehicle to Vehicle Charging for Electric Vehicles via Platooning on Freeways
M Rostami-Shahrbabaki, SA Haghbayan, M Akbarzadeh, K Bogenberger
2022 European Control Conference (ECC), 530-537, 2022
32022
An Independent Trajectory Advisory System in a Mixed-Traffic Condition: A Reinforcement Learning-Based Approach
M Rostami-Shahrbabaki, T Niels, S Hamzehi, K Bogenberger
IFAC-PapersOnLine 53 (2), 15667-15673, 2020
22020
Connected Vehicles Are Now Abolishing the Conventional Traffic Measuring Tools
M Rostami-Shahrbabaki, AA Safavi, K Bogenberger
2019 6th International Conference on Control, Instrumentation and Automation …, 2019
22019
Modified binary PSO
M Rostami, H Nezam Abadi
Proceedings of the IEEE 14th International Conference on Electrical …, 2006
22006
A Novel Potential Line Strategy for Autonomous Vehicle Control in Lane-Free Traffic
H Zhang, M Rostami-Shahrbabaki, D Troullinos, K Bogenberger
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
12023
Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach
M Berahman, M Rostami-Shahrbabaki, K Bogenberger
arXiv preprint arXiv:2406.14766, 2024
2024
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