Publications/Research Products

Akter, S., Aziz, H. M. A., Assessing the Mobility, Environmental, and Productivity Impacts of Curbside Prioritization Strategies (Submitted: Under review)


Gyawali, Nikesh*, Sarthak Khanal*, Doina Caragea, Aziz, H. M. A., Eric Fitzsimmons. Pre- dicting Commercial Motor Vehicle Crash Severity in Kansas at District Level Using Explainable Machine Learning (Submitted: under review)


Al Ani, Omar, Saquib M. Haroon*, Doina Caragea, Aziz, H. M. A., Eric Fitzsimmons. Predict- ing Pedestrian Involvement in Fatal Crashes Using a TabNet Deep Learning Model (Submitted: under review)


Akter, S., Aziz, H. M. A., Integer-program Based Curbside Optimization Accounting for Uncertainty (To be Submitted by September 2023)


Akter, S., Aziz, H. M. A. (2023). Assessing Impacts of Shared Bike-Bus Lanes on Bus Opera- tions. Procedia Computer Science, 220, 735-740. [https://doi.org/10.1016/j.procs.2023.03.097] [this is a peer-reviewed paper first presented at a conference, then published through Procedia Computer Science]

Alshehri, Abdulaziz and Aziz, H. M. A. Analysis of Factors Affecting Discretionary Lane Change, In the Proceedings of International Conference on Transportation and Development 2022, May 31–June 3, 2022,Seattle, Washington (https://doi.org/10.1061/9780784484326.015)


Aziz, H. M. A. and Das, S. Deep Reinforcement Learning Applications in Connected and Automated Transportation Networks: A Survey. In the book “Deep Learning and Its Applica- tions for Vehicle Networks” Edited By Fei Hu, Iftikhar Rasheed. ISBN 9781032041377. May 12, 2023, Forthcoming by CRC Press. 360 Pages.


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.


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), November 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 Com- putational Transportation Science (IWCTS 2021), November 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.


Wang, Hong, Patil, Sagar, Aziz, H. M. A., Young, Stanley. Stochastic Distribution Modeling and Control for Traffic Flow at Signalized Intersections (2020). Accepted (in press) in IEEE Transactions on Intelligent Transportation Systems.


Al Islam, S.M.A. Bin, Ali Hajbabaie, H.M. A. Aziz, A real-time network-level traffic signal con- trol 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 electri- cal substations and road networks under extreme events, 2020 IEEE International Smart Cities Conference (ISC2), Piscataway, NJ, USA, 2020, 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 Op- timal Signal Control With Energy Consumption Bounds. IEEE Transactions on Intelligent Transportation Systems. doi: 10.1109/TITS.2020.2979384


Aziz, H. M. A., 2019, Energy and Mobility Impacts of System Optimal Dynamic Traffic Assignment for a Mixed Traffic of Legacy and Automated Vehicles. Transportation Research Record, 2673(9), 389–406. https://doi.org/10.1177/0361198119845658


Xu, X., Aziz, H. M. A. and Guensler, R., 2019. A modal-based approach for estimating electric vehicle energy consumption in transportation networks. Transportation Research Part D: Transport and Environment, 75, pp.249-264.


Yeung, S., Aziz, H. M. A. and Madria, S., 2019, June. Activity-Based Shared Mobility Model for Smart Transportation. In 2019 20th IEEE International Conference on Mobile Data Management (MDM) (pp. 599-604). IEEE.


Aziz, H. M. A., Park, B.H., Morton, A., Stewart, R.N., Hilliard, M. and Maness, M., 2018. 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., 2018. 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., 2018. 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.


Aziz, H. M. A., Nagle, N.N., Morton, A.M., Hilliard, M.R., White, D.A. and Stewart, R.N., 2017. Exploring the impact of walk–bike infrastructure, safety perception, and built- environment on active transportation mode choice: a random parameter model using New York City commuter data. Transportation, pp.1-23.


Aziz, H. M. A., Aziz, H.A., Ukkusuri, S.V. and Zhan, X., 2017. Determining the impact of personal mobility carbon allowance schemes in transportation networks. Networks and Spatial Economics, 17(2), pp.505-545.


 Aziz, H.M. A., Ukkusuri, S.V., 2016. Network traffic control in cyber-transportation systems accounting for user-level fairness. Journal of Intelligent Transportation Systems 20 (1), 4-16.


Aziz, H.M.A., Ukkusuri, S.V., and Romero, J., 2015. Understanding short-term travel be- havior under personal mobility credit allowance scheme using experimental economics. Trans- portation Research Part D: Transport and Environment, 36, 121-137


Zhan, X., Aziz, H. M. Abdul, Ukkusuri, S. V., 2015. An efficient parallel sampling technique for Multivariate Poisson-Lognormal model: Analysis with two crash count datasets, 2015. Analytic Methods in Accident Research, 8, 45-60.


Zhu, F., Aziz, H. M. A., Qian, X., and Ukkusuri, S. V., 2015. A Junction-Tree Based Learning Algorithm to Optimize Network Wide Traffic Control: A Coordinated Multi-agent Framework. Transportation Research Part C: Emerging Technologies, 58, 487-501

 

Aziz, H. M. A., and Ukkusuri, S.V., 2014. Exploring the trade-off between greenhouse gas emissions and travel time in daily travel decisions: Route and departure time choices. Trans- portation Research Part D: Transport and Environment 32, 334-353.


Ukkusuri, S. V., Doan, K., and Aziz, H. M. A., 2013. Bi-level formulation for signal control and dynamic user equilibrium problem. Procedia - Social and Behavioral Sciences 80, 729-752. In 20th International Symposium on Transportation and Traffic Theory (ISTTT) conference, The Netherlands.


Aziz, H. M. A., Ukkusuri, S. V., and Hasan, S., 2013. Exploring the determinants of pedestrian-vehicle crash severity in New York City. Accident Analysis & Prevention 50, 1298- 1309.


Aziz, H. M. A., Ukkusuri, S.V., 2013. Tradable emissions credits for personal travel: a market- based approach to achieve air quality standards. Int Journal of Adv. Engineering Science and Applied Math. 5, 145-157.


Aziz, H. M. A., and Ukkusuri, S.V., 2013. An approach to assess the impact of time varying congestion in vehicle routing problems. Advances in Dynamic Network Modeling in Complex Transportation Systems, (Ukkusuri, Satish V.; Ozbay, Kaan, Eds.), Springer.


Aziz, H. M. A., and Ukkusuri, S. V., 2012. Integration of environmental objectives in a system optimal dynamic traffic assignment Model. Computer-Aided Civil and Infrastructure Engineering, 27 (7), 494-511.


Aziz, H. M. A. and Ukkusuri, S. V., 2012. Unified framework for dynamic traffic assignment and signal control with cell transmission model. Transportation Research Record : Journal of the Transportation Research Board 2311, 73-84.


Ukkusuri, S. V., Hasan, S., and Aziz, H. M. A., 2011. Random parameter model used to ex- plain effects of built-environment characteristics on pedestrian crash frequency. Transportation Research Record : Journal of the Transportation Research Board 2237, 98-106.