About me

I am a transportation researcher focusing on Mobility-as-a-Service (MaaS), user equilibrium, bilevel optimization, and algorithmic assignment. I’m currently pursuing an M.Eng. in Transportation Planning and Management at Beijing Jiaotong University (BJTU, 2023–present).

Jiale Li

Education

• BJTU, M.Eng., Transportation Planning & Management, 2023–present.
• BJUT, B.Eng., Traffic Engineering, 2019–2023.
• BJUT, B.Eng., Computer Science, 2020–2023.

Publications

• Improved heuristic to reduce oscillations in transit assignment on refined networks — under review at Transportmetrica A (2025).
  

  Manuscript Introduction: Improved heuristic to reduce oscillations in transit assignment on refined networks

  The source code for the implementation, along with the data used in experiments, is publicly available at [Github](https://github.com/De1gel/PLM_Transit_Assignment) ## 1.…

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• MaaS Bundle Design under Multi-modal Dual-heterogeneous User Equilibrium — under review at TR Part B (Aug 2025).
  

  Manuscript Introduction: MaaS Bundle Design under Multi-modal Dual-heterogeneous User Equilibrium

  The source code for the implementation, along with the data used in experiments, is publicly available at [Github](https://github.com/De1gel/PLM_Transit_Assignment) ## 1.…

  Read More

  Selected Projects

• MaaS bundle pricing via network equilibrium (Lead, 2024.10– ) — bilevel design with dual-heterogeneous UE; VI reformulation; modified Frank–Wolfe updates.
• Urban bus operations: stabilizing assignment (Lead, 2024.3–10) — oscillation detection and damping for common-line corridors.
• AIS + ML risk-alert platform (inland waterways) (Co-Dev, 2022.3–9) — AIS–MQTT pipeline, TCN classifier, Node-RED alerts; National Third Prize.
• On-demand shuttle scheduling, Beijing 2022 Winter Olympics (Core, 2021.7–11) — GA-based scheduling with Vissim validation.

Interests & Skills

Topics/Methods: MaaS, user equilibrium, pricing, variational inequalities, bilevel optimization, heuristics, ML/RL.
Tools: Python, MATLAB, C++; Vissim, Massmotion, EMME; Linux, Git.

CV (PDF)