Research
Research Interests
- Cooperative Control of Connected Automated Vehicles
- Transportation Electrification and Decarbonization
- Machine Learning and Reinforcement Learning
- Network Modeling and Large-Scale Optimization
Selected Publications
1. Amirgholy, M., Chowdhoury, T.F.A., Kanigiri, S.N., Wang, C. (2025). Clean transportation through electrification: predictive analysis of greenhouse gas emissions from electric vehicle charging in the United States. Nature Scientific Reports. (accepted).
2. Amirgholy, M., Don, D.P., Narasimhamurthy, S. M., Sadabadi, K. F., Kattan, L., Laval, J. (2025). Seq2Seq learning of macroscopic traffic dynamics across diverse urban networks: a generalizable deep learning model for the United States. Transportation Research Part C: Emerging Technologies (under review)
3. Amirgholy, M., Nourinejad, M. (2024). Connected automated vehicles orchestrating human-driven vehicles: Optimizing traffic speed and density in urban networks. Transportation Research Part C: Emerging Technologies, 165, p.104741. Manuscript
4. Jin, L., Xu, X., Sadabadi, K. F., Lazar, A., Don, D.P., Wang, Y., Needell, Z., Spurlock, C. A., Amirgholy, M., Asudegi, M. (2024). Macroscopic traffic modeling using probe vehicle data: a machine learning approach. Data Science for Transportation. Manuscript
5. Amirgholy, M., Gao, H.O. (2023). Optimal traffic operation for maximum energy efficiency in signal-free urban networks: a macroscopic analytical approach. Applied Energy 329. Manuscript
6. Amirgholy, M., Nourinejad, M., Gao, H.O. (2023). Balancing the efficiency and robustness of traffic operations in signal-free networks. Transportation Research Interdisciplinary Perspectives, 19, p.100821. Manuscript
7. Mohammed, F. M., Amirgholy, M. (2023). Traffic operation for longer battery life of connected automated vehicles in signal-free networks. Transportmetrica B: Transport Dynamics, 11(1), pp.1478-1495. Manuscript
8. Nourinejad, M., Amirgholy, M. (2022). Parking design and pricing for regular and autonomous vehicles: a morning commute problem. Transportmetrica B: Transport Dynamics, pp.1-25. Manuscript
9. Yildirimoglu, M., Ramezani, M., Amirgholy, M. (2021). Staggered work schedules for congestion mitigation: a morning commute problem. Transportation Research Part C: Emerging Technologies, 132, p.103391. Manuscript
10. Amirgholy, M., Nourinejad, M., Gao, H.O. (2020). Optimal traffic control at smart intersections: automated network fundamental diagram. Transportation Research Part B: Methodological, 137, pp.2-18. Manuscript
11. Amirgholy, M., Shahabi, M., Gao, O.H. (2020). Traffic automation and lane management for communicant, autonomous, and human-driven vehicles. Transportation Research Part C: Emerging Technologies, 477-495 Manuscript
12. Rahimi, M., Amirgholy, M., Gonzales, E.J. (2018). System modeling of demand responsive transportation services: evaluating cost efficiency of service and coordinated taxi usage. Transportation Research Part E: Logistics and Transportation Review, 66-83. Manuscript
13. Amirgholy, M., Gao, H.O. (2017). Modeling the dynamics of congestion in large urban networks using the macroscopic fundamental diagram: user equilibrium, system optimum, and pricing strategies. Transportation Research Part B: Methodological, 215-237. Manuscript
14. Amirgholy, M., Shahabi, M., Gao, H.O. (2017). Optimal design of sustainable transit systems in congested urban networks: a macroscopic approach. Transportation Research Part E: Logistics and Transportation Review, 261-285. Manuscript
154. Amirgholy, M., Golshani, N., Schneider, C., Gonzales, E.J., Gao, H. O. (2017). An advanced traveler navigation system adapted to route choice preferences of the individual users. International Journal of Transportation Science and Technology, No. 17-05826. Manuscript
16. Amirgholy, M., Gonzales, E.J. (2017). Analytical equilibrium of bicriterion choices with heterogeneous user preferences: application to the morning commute problem. Transportmetrica B, 1-33. Manuscript
17. Amirgholy, M., Gonzales, E.J. (2017). Efficient frontier of route choice for modeling the equilibrium under travel time variability with heterogeneous traveler preferences. Economics of Transportation, 11, 1-14. Manuscript
18. Amirgholy, M., Gonzales, E.J. (2016). Demand responsive transit systems with time-dependent demand: user equilibrium, system optimum, and management strategy. Transportation Research Part B: Methodological, 234-252. Manuscript
19. Amirgholy, M., Rezaeestakhruie, H., Poorzahedy, H. (2015). Multi-objective cordon price design to control long-run adverse traffic effects in large urban areas. Netnomics: Network Research and Electronic Networking, 16(1-2) 1-52. Manuscript
