Tao Guo

Tao Guo is a Ph.D. candidate at Technical University of Munich (TUM) under the supervision of Prof. Dr. Constantinos Antoniou since Febuary 2024. Tao received his bachelor's degree in Road, Bridge and River-crossing Engineering with a specialization in Highway Engineering from Chang’an University in China and his master's degree in Transportation Systems (Specialization: Traffic Modeling and Simulation, Optimization) from the Technical University of Munich. He is currently pursuing his Ph.D.  focusing on the Autonomous Transport for Harmonised Low-Carbon Operations and Sustainability (ATHLOS) project.

Field of Expertise

Agent-Based Simulation

Multi-agent Transport Simulation (MATSim)

Object-Oriented Programming

JAVA

Optimization

Stochastic Programming, Heuristic, etc.

Data Analytics

Python

Education and Training

Oct. 2021 – Jan. 2024

M.Sc. Transportation Systems (Grade: 1.2)
Technical University of Munich 
Thesis: Optimizing Siting of Urban Air Mobility Vertiports in Multimodal Transportation Networks with Two-Stage Stochastic Programming (Grade: 1.0)

Oct. 2019 – Mar. 2020

B.Sc. Civil Engineering (Exchange Student) 
RWTH Aachen University
Sep 2016 – Jul. 2020

B.Eng. in Road, Bridge and River-crossing Engineering (Grade: 89.3/100)
Chang’an University

Thesis: Design of Highway from Siyang to Suqian (Highest Distinction)

Work Experience

Feb. 2024 – present

Research Associate & Ph.D. Candidate
Chair of Transportation Systems Engineering
Technical University of Munich
Munich, Germany

Jul. 2022 – Dec. 2023

Working Student
Department of Development

Yunex Traffic GmbH 
Munich, Germany

Publications

  • Tao Guo, Hao Wu, Qing-Long Lu, Constantinos Antoniou: Two-stage Stochastic Optimization Approach for UAM Station Siting. (submitted to Transportation Research Part A: Policy and Practice and under review)
  • Tao Guo, Hao Wu, Constantinos Antoniou: Assessment of the Economic Impact of UAM Siting through Enhancements in Travel Time Efficiency and Accessibility. The 2024 Transportation Research Board (TRB) Annual Meeting, 2023

(edited) 01.02.2024 by Hao Wu