Publications by Year

1. Ghorbanali Zadegan, M. R.* and Guo, Z. (2026), Express Charging Lanes for Electric Vehicle Evacuation, Transportation Research Record: Journal of the Transportation Research Board.
2. Guo, Z. (2026), Optimize Information Sharing Locations in Locally Connected Mobility Systems, Transportation Research Part C: Emerging Technologies, 186, 105580.
3. Ghorbanali Zadegan, M. R.* and Guo, Z. (2026), Optimizing On-Site Green Hydrogen Consumption Using Heavy-Duty Hydrogen Fuel Cell Electric Vehicles, Transportation Research Part E: Logistics and Transportation Review, 208, 104627.
4. Li, X.*, Wang, T., Cheng, X., Machineni, R. C., Guo, Z., Chen, S., Jiao, J., Claudel, C. (2026), LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model, arXiv preprint, arXiv:2603.02528.
5. Alam, M. R.* and Guo, Z. (2026), Network-Level Optimal Coordination of Charging and Platooning for Electric Trucks, Journal of Modelling in Management, 21(1), 138–160.
6. Rafi, M. N.* and Guo, Z. (2026), Multi-Agent Optimization of Non-Cooperative Multimodal Mobility Systems, arXiv preprint, arXiv:2601.03777.

1. Rashgi, N.* and Guo, Z. (2025), Electric Vehicles’ Potential for Smoothing Daily Load Profile Considering Mobility Needs and Solar Output, Sustainable Energy, Grids and Networks, 43, 101761.
2. Alam, M. R.* and Guo, Z. (2025), Charging Station Planning and Fleet Operation for Electric Freight Vehicles: A State-of-the-Art Review, Journal of Transportation Engineering, Part A: Systems, 151(11).
3. Alam, M. R.* and Guo, Z. (2025), Network-Level Optimal Coordination of Charging and Platooning for Electric Trucks, Journal of Modelling in Management.
4. Afifah, F.* and Guo, Z. (2025), Optimal Speed Limit Control for Network Mobility and Safety: A Deep Reinforcement Learning Approach, Transportmetrica B: Transport Dynamics, 13(1), 2474663.
5. Rashgi, N.* and Guo, Z. (2025), Spatiotemporal Pricing for Electric Vehicle Charging to Mitigate Zonal Power Demand Peaks, 2025 IEEE Power & Energy Society General Meeting, Austin, Texas. [Conference]

1. Wang, Z., Guo, Z., Liu, K., Lin, Z., Li, S. (2024), Multi-stage Layout Strategies of Intercity Charging and Swapping Infrastructure for Electric Logistics Vehicles: Random, Radical, or Conservative?, Transport Policy, 153, 13–24.
2. Khamaneh, S. M.*, Guo, Z. (2024), Power Flow Tracing of Renewable Energy Sources Through Lens of Transportation Network Modeling, 2024 IEEE Kansas Power and Energy Conference (KPEC), Manhattan, KS, pp. 1–5. [Conference]

1. Baghali, S.*, Guo, Z., Deride, J., and Fan, Y. (2023), Intermediate Service Facility Planning in a Stochastic and Competitive Market: Incorporating Agent-Infrastructure Interactions over Networks, Transportation Research Part C: Emerging Technologies, 154, 104242.
2. Baghali, S.*, Alam, M. R.*, and Guo, Z. (2023), Multi-Stage Charging Station and Distributed Generator Capacity Expansion in Decentralized Power Distribution and Transportation Systems, IEEE Systems Journal.
3. Baghali, S.* and Guo, Z. (2023, accepted), Private Electric Vehicles for Emergency Load Pickup: A Multi-Network Stochastic Equilibrium Approach, Transportation Research Record: Journal of the Transportation Research Board.
4. Afifah, F.*, Guo, Z., and Abdel-Aty, M. (2023), System-Level Impacts of En-Route Information Sharing Considering Adaptive Routing, Transportation Research Part C: Emerging Technologies, 149, 104075.
5. Alam, M. R.* and Guo, Z. (2023), Co-Optimization of Charging Scheduling and Platooning for Long-Haul Electric Freight Vehicles, Transportation Research Part C: Emerging Technologies, 147, 104009.

1. Baghali, S.*, Guo, Z., Wei, W., and Shahidehpour, M. (2022), Electric Vehicles for Distribution System Load Pickup Under Stressed Conditions: A Network Equilibrium Approach, IEEE Transactions on Power Systems, 38(3), 2304–2317.
2. Afifah, F.* and Guo, Z. (2022), Spatial Pricing of Ride-Sourcing Services in a Congested Transportation Network, Transportation Research Part C: Emerging Technologies, 142, 103777.
3. Alam, M. R.* and Guo, Z. (2022), Charging Infrastructure Planning for Ride-Sourcing Electric Vehicles Considering Drivers’ Value of Time, Transportation Letters, 15(6), 573–583.
4. Alam, M. R.*, Hou, C.*, Guo, Z., Aeschliman, S., and Zhou, Y. (2022), Optimization-Based Trip Chain Emulation for Electrified Ride-Sourcing Charging Demand Analyses, Transportation Letters, 15(6), 510–526.
5. Baghali, S.*, Guo, Z., Hasan, S. (2022), Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach, 2022 IEEE PES General Meeting, Denver, CO, pp. 1–5. [Conference]

1. Siddique, N.*, Afifah, F.*, Guo, Z., and Zhou, Y. (2021), Data Mining of Plug-In Electric Vehicles Charging Behavior Using Supply-Side Data, Energy Policy, 125, 445–455.
2. Guo, Z., Afifah, F.*, Qi, J., and Baghali, S.* (2021), A Stochastic Multi-Agent Optimization Framework for Interdependent Transportation and Power System Analyses, IEEE Transactions on Transportation Electrification, 7(3), 1088–1098.
3. Baghali, S.*, Hasan, S., Guo, Z. (2021), Analyzing the Travel and Charging Behavior of Electric Vehicles — A Data-Driven Approach, 2021 IEEE Kansas Power and Energy Conference (KPEC), Manhattan, KS, pp. 1–5. [Conference]

1. Guo, Z., Zhou, Z., and Zhou, Y. (2020), Impacts of Integrating Topology Reconfiguration and Vehicle-to-Grid Technologies on Distribution System Operation, IEEE Transactions on Sustainable Energy, 11(2), 1023–1032.

1. Guo, Z. and Zhou, Y. (2019), Residual Value Analysis of Plug-In Electric Vehicles in the United States, Energy Policy, 125, 445–455.
2. Guo, Z. and Fan, Y. (2017), A Stochastic Multi-Agent Optimization Model for Energy Infrastructure Planning Under Uncertainty in an Oligopolistic Market, Network and Spatial Economics, 17(2), 581–609.
3. Guo, Z., Chen, R. L.-Y., Fan, N., and Watson, J.-P. (2017), Contingency-Constrained Unit Commitment with Intervening Time for System Adjustments, IEEE Transactions on Power Systems, 32(4), 3049–3059.
4. Guo, Z., Deride, J., and Fan, Y. (2016), Infrastructure Planning for Fast Charging Stations in a Competitive Market, Transportation Research Part C: Emerging Technologies, 68, 215–227.
5. Guo, Z., Lei, S., Wang, Y., Zhou, Z., and Zhou, Y. (2017), Dynamic Distribution Network Reconfiguration Considering Travel Behaviors and Battery Degradation of Electric Vehicles, 2017 IEEE PES General Meeting, Chicago, IL, pp. 1–5. [Conference]
6. Lu, X. Y., Varaiya, P., Horowitz, R., Guo, Z., and Palen, J. (2012), Estimating Traffic Speed with Single Inductive Loop Event Data, Transportation Research Record: Journal of the Transportation Research Board, 2308(1), 157–166.