Guo, Q., Ban, X.J. and Aziz, H. M. A., 2021. Mixed traffic flow of human-driven vehicles and automated vehicles on dynamic transportation networks. Transportation Research Part C: Emerging Technologies, 128, p.103159.A
Akter, S. and Aziz, H. M. A., 2021. Effectiveness of Automated Connected Shuttles (ACS) During COVID-19 Pandemic. 14th International Workshop on Computational Transportation Science (IWCTS 2021), Nov. 1, 2021, Beijing, China. (https://doi.org/10.1145/3486629.3490694)
Aziz, H. M. A. and Islam, H., 2021. A Data-driven Framework to Identify Human-Critical Autonomous Vehicle Testing and Deployment Zones. 14th International Workshop on Computational Transportation Science (IWCTS 2021), Nov. 1, 2021, Beijing, China. (https://doi.org/10.1145/3486629.3490692)
Aziz, H. M. A., Garikapati, V., Rodriguez, T.K., Zhu, L., Sun, B., Young, S.E. and Chen, Y., 2020. An optimization-based planning tool for on-demand mobility service operations. International Journal of Sustainable Transportation, pp. 1-12.
H. Wang, S. V. Patil, H. M. A. Aziz and S. Young, "Modeling and Control Using Stochastic Distribution Control Theory for Intersection Traffic Flow," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, pp. 1885-1898, March 2022, doi: 10.1109/TITS.2020.3028994.
Al Islam, S.M.A. Bin, Ali Hajbabaie, H.M. A. Aziz, "A Real-time Network-level Traffic Signal Control Methodology with Partial Connected Vehicle Information," Transportation Research Part C: Emerging Technologies, Volume 121, 2020, 102830. https://doi.org/10.1016/j.trc.2020.102830.
Aziz, H. M. A. and D. M. Banisakher, 2020. Operational Interdependency Between Electrical Substations and Road Networks Under Extreme Events. 2020 IEEE International Smart Cities Conference (ISC2), Piscataway, NJ, USA, pp. 1-8. doi: 10.1109/ISC251055.2020.9239097.
Xu, X., Aziz, H. M. A., Liu, H., Rodgers, M. O., & Guensler, R. (2020). A Scalable Energy Modeling Framework for Electric Vehicles in Regional Transportation Networks. Applied Energy, 269, 115095. https://doi.org/10.1016/j.apenergy.2020.115095
Al Islam, S. B., Aziz, H. M. A., & Hajbabaie, A. (2020). Stochastic Gradient-Based Optimal Signal Control With Energy Consumption Bounds. IEEE Transactions on Intelligent Transportation Systems. doi: 10.1109/TITS.2020.2979384.
Aziz, H. M. A., Park, B.H., Morton, A., Stewart, R.N., Hilliard, M. and Maness, M. A. High-resolution Agent-based Model to Support Walk-Bicycle Infrastructure Investment Decisions: A Case Study with New York City. Transportation Research Part C: Emerging Technologies, 86, pp. 280-299.
Aziz, H. M. A., Zhu, F., Ukkusuri, S. V. Learning-based Traffic Signal Control Algorithms with Neighborhood Information Sharing: An Application for Sustainable Mobility. Journal of Intelligent Transportation Systems, 22(1), 40-52.
Aziz, H.M.A., and Ukkusuri, S.V. A Novel Approach to Estimate Emissions from Large Transportation Networks: Hierarchical Clustering-based Link-driving Schedules for EPA-MOVES Using Dynamic Time Warping Measures. International Journal of Sustainable Transportation, 12(3), pp. 192-204.
Islam, S.M.A. B. Al, H. M. A. Aziz, H. Wang, and S. E. Young. Minimizing Energy Consumption from Connected Signalized Intersections by Reinforcement Learning. 2018 IEEE Intelligent Transportation Systems Conference (ITSC).
Park, B. H., H. M. A. Aziz, A. Morton, and R. Stewart. High Performance Data-driven Agent-based Modeling Framework for Simulation of Commute Mode Choices in Metropolitan Area. 2018 IEEE Intelligent Transportation Systems Conference (ITSC).
Zhu, Lei, Venu Garikapati, Yuche Chen, Yi Hou, H. M. A. Aziz, and Stanley Young. Quantifying the Mobility and Energy Benefits of Automated Mobility Districts Using Microscopic Traffic Simulation. In Proceedings of the ASCE International Conference on Transportation and Development Institute, 2018.
Park, B. H., Aziz, H. M. A., Morton, A., Stewart, R. N. A Novel Graph Partitioning Technique for High-performance Agent-based Simulation of Travel Mode Choices. Paper No. 18-05808. In the Proceedings of the Transportation Research Board 97th Annual Meeting, Washington, D.C., Jan. 7-11, 2018.