Vehicle routing has been extensively studied in optimization problems. With the advance of AI and big data, this project aims to solve vehicle routing problems (VRP) using reinforcement learning.

This is an UNPAID research project.

Faculty Advisor

  • Professor: Sharon Di
  • Department/School: Civil Engineering

Project Timeline

  • Earliest starting date: 1/1/2021
  • End date: 12/31/2021
  • Number of hours per week of research expected during Summer 2021: ~15-20 hr/week for Spring, Summer, and Fall 2021

Candidate requirements

  • Skill sets: M.S. are welcome to register for my research credits course during the semesters and summer. The student involved in this project will conduct a comprehensive literature review on VRP and develop a RL model. Students with good computer and coding skills are preferred. Skill requirements are:
    1. Familiar with reinforcement learning models.
    2. Familiar with Python. Generating figures, graphs, tables, or statistical models to present results with python.
    3. Creating simulation environment in SUMO (a traffic simulator).
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes