Haopeng Deng

About Me

Hi, I'm Haopeng Deng, an undergraduate at Guangzhou Maritime University, passionate about data-driven control for urban mobility. My research centers on optimizing urban traffic flow, with a particular interest in how Connected and Autonomous Vehicles (CAVs) can reshape the system. Currently, I work on mixed-flow dynamic traffic assignment and learning-based control frameworks that integrate optimization and stochastic modeling. My long-term goal is to build human-centric, resilient, and sustainable mobility systems through the synergy of data science and traffic engineering.

Interests & Skills

Research Interests

Core Skills

Publications

Journal Articles

1. Xia, X., Deng, H., Tang, J., et al. (2025). Dynamic Traffic Assignment under Mixed Traffic: Modeling, Evolution, and Solution Approaches. Journal of Transport Science and Engineering. (Cover Paper). [DOI]
2. Deng, H., Tang, J., Zhan, L., et al. (2025). Research on Traffic Governance Optimization in Kaiping City Based on a GRA–FCE Integrated Framework. Accepted in Journal of Transportation Engineering.
3. Deng, H., Ma, K., Zhan, L., et al. (2025). Structural Equation Modeling of the Relationships among Traffic Safety KAP in Small-Medium Cities. Accepted in Journal of Transportation Engineering.
4. Deng, H., Zheng, F., & Zhan, L. (2024). Application of Markov Processes in Traffic Signal Control. International Core Journal of Engineering. [DOI]
5. Wang, Q., Deng, H., Deng, H., et al. (2025). Research on the Incentive Mechanism of a Comprehensive Carbon Pricing System for Emission Reduction and Carbon Sink Enhancement. Journal of Guangzhou Maritime University. [CNKI]
6. Wang, Y., Zhang, H., Zhou, Y., Deng, H., et al. (2025). Exploring the 2-Part of Class Groups in Quadratic Fields: Perspectives on the Cohen–Lenstra Conjectures. Mathematics. [DOI]
7. Wang, Y., Deng, H., Zhu, L., et al. (2026). Approximate Sparse Stochastic Control for Time-Varying Systems with Control-Dependent Diffusion. To be submitted. [Preprint]

Conference Papers

1. Deng, H., Zheng, F., & Xia, X. (2026). SpinFlow: A Physics-Informed Spin Field Framework for Traffic Phase Inference and Transition Detection. Submitted to The IEEE International Conference on Intelligent Transportation Systems (ITSC).
2. Xia, X., Deng, H., Tang, J., et al. (2026). Dynamic Traffic Assignment under Mixed Traffic: Modeling, Evolution, and Solution Approaches. Accepted in International Conference on Artificial Intelligence and Autonomous Transportation (AIAT). Springer Nature. (Oral Presenter).
3. Xia, X., Deng, H.*, Ye, Y. (2026). Fundamental Diagram Modeling and Simulation of Mixed Traffic Flow Considering Functional Degradation. Accepted in The 26th CICTP Conference.
4. Deng, H., Zheng, F., Ma, K., et al. (2025). Adaptive Truncated Schatten Norm for Traffic Data Imputation with Complex Missing Patterns. The 25th COTA International Conference of Transportation Professionals (CICTP). American Society of Civil Engineers. (Best Poster Award). [DOI]

Research Experiences

Guangdong Provincial Special Fund for Science and Technology Innovation Strategy

Cooperative Game-Based Network Traffic Assignment Mechanisms for Enhancing Urban Transportation Efficiency

I am leading a project to enhance urban transportation efficiency through game-based network traffic assignment mechanisms. I developed a unified Dynamic Traffic Assignment (DTA) model that decouples the penetration of Connected and Automated Vehicles (CAVs) into two independent dimensions: Automation Level (AL) and Connectivity Level (CL). This framework drives the evolution of user equilibrium (UE) and system optimum (SO) mixed equilibria within the AL-CL space. Additionally, I proposed the AMPAS algorithm to efficiently solve the DUE, DSO, and UE-SO equilibria, achieving faster convergence compared to traditional methods. I also authored a systematic review on mixed-traffic DTA models, synthesizing insights from over 120 studies on equilibrium evolution, algorithms, and emerging research trends. Beside, I oversee task delegation, track milestones, and mentor junior researchers to ensure the project stays on schedule.

Guangdong Provincial College Student Innovation and Entrepreneurship Training Program

Intelligent Recognition of Urban Traffic Equilibrium States under Air-Ground Collaborative Monitoring

As a core member, I contributed to developing an intelligent system for recognizing urban traffic equilibrium states, integrating data from roadside sensors, UAVs, and probe vehicles. My team aims to construct high-dimensional traffic flow tensors and explore various data loss structures, including element-wise, fiber-wise, and mixed loss, to improve data recovery algorithms. In particular, I developed an adaptive truncated Schatten norm-based model (LRTC-ATSN) that successfully completed traffic datasets with missing patterns, achieving significant improvements in accuracy and performance. Furthermore, I proposed a physics-informed "SpinFlow" model that utilizes a latent spin field to characterize the competitive equilibrium mechanism among traffic phases, employing an Expectation-Maximization algorithm to quantify the emergence of synchronized flow from aerial trajectory data.

High-Quality Development Project for Hundred Counties, Thousand Towns, Myriad Villages

Investigation and Research on Traffic Safety and Planning in Kaiping City

I led a team focused on traffic safety and planning in Kaiping City. We worked closely with the Municipal Transportation Department, analyzing traffic accident and violation data to identify accident hotspots and hazard types. My team conducted on-site surveys, interviews, and drone photography to gather data on traffic flow, vehicle management, pedestrian movement, and infrastructure. I applied SPSS and LLM tools to analyze the survey and interview data, uncovering key issues and proposing actionable solutions that contributed significantly to the city's traffic safety and planning efforts. I also authored two papers by the project: one that used Structural Equation Modeling to explore the relationship between traffic safety behavior and attitudes, and another assessing Kaiping's traffic governance using Grey Relational Analysis and Fuzzy Evaluation. The findings were eventually adopted by the Municipal Transportation Bureau.

Academic Exchange

Awards and Honors

• Best Poster Award (International), The 25th CICTP Conference, COTA 2025
• Meritorious Winner (International), Interdisciplinary Contest in Modeling (ICM), COMAP 2025
• Third Prize (Provincial), 18th "Challenge Cup" National Students' Academic Works Competition 2025
• Yang Hanlin Scholarship (Top 0.2%, 3/1210), Guangzhou Maritime University 2025
• Third Prize (Provincial), China Undergraduate Mathematical Contest in Modeling 2024
• Second Prize (School), 19th National Competition of Transport Science and Technology 2024
• Science and Technology Innovation Model Scholarship, Guangzhou Maritime University 2024
• Third-Class Merit Scholarship, Guangzhou Maritime University 2023
• Bronze Award (Provincial), FLTRP · ETIC Cup English Writing Contest 2023