Yunfei Zhang

I am a PhD student at the Chair of Traffic Engineering and Control at the Technical University of Munich (TUM) since February 2021.

Previously, I finished my bachelor in civil engineering from Tongji University in China in 2017 and my master in Transportation Systems also from TUM in 2020.

My research interests include Autonomous Vehicles, Traffic flow theory, and Mobility-on-Demand systems.

Email  /  Bio  /  Google Scholar  /  GitHub  /  LinkedIn  /  ResearchGate

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Publications

2024

PontTuset Lane-Based Traffic State Estimation on Freeways Using Empirical Automated Vehicle Data
Athanasia Karalakou, Felix Rempe, Lisa Kessler, Yunfei Zhang, Klaus Bogenberger
TRB, 2024 (presented)
Full paper

We use the data collected from automated vehicles to estimate the macroscopic traffic conditions in freeway.

PontTuset Autonomous Vehicles as a Sensor: Simulating Data Collection Process
Yunfei Zhang, Mario Ilic, Klaus Bogenberger
TRB, 2024 (presented)
Full paper / bibtex

We simulate the data collection process for Autonomous Vehicles (AVs). Real-world sensor attributes and more accurate estimation techniques are applied on the on-board sensor data.

2023

PontTuset Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services
Fynn Wolf, Roman Engelhardt, Yunfei Zhang, Florian Dandl, Klaus Bogenberger
IEEE ITSC, 2023
Full paper / bibtex

We couple the FleetPy and Aimsun to evaluate the effects of dynamic and stochastic travel time on the operation (routing) of Mobility-On-Demand services.

PontTuset Data-driven Spatio-Temporal Scaling of Travel Times for AMoD Simulations
Arslan Ali Syed, Yunfei Zhang, Klaus Bogenberger
IEEE ITSC, 2023
Full paper / bibtex

We introduce a spatio-temporal optimization strategy for scaling the link-level network travel times using the simulated trip data without additional data sources on the network state.

PontTuset A Novel Concept of Traffic Data Collection and Utilization: Autonomous Vehicles as a Sensor
Yunfei Zhang, Mario Ilic, Klaus Bogenberger
IEEE ITSC, 2023
Full paper / bibtex

We propose a novel concept for the collection and utilization of traffic data: Autonomous Vehicles as a Sensor.

PontTuset Network Fundamental Diagram based Dynamic Routing in a Clustered Network
Yunfei Zhang, Felix Rempe, Florian Dandl, Gabriel Tilg, Matthias Kraus, Klaus Bogenberger
MT-ITS, 2023
Full paper / bibtex

We propose a dynamic macroscopic routing algorithm, which is updated based on the Network Fundamental Diagram for different clusters.

PontTuset Temporal Aggregated Analysis of GPS Trajectory Data Using Two-Fluid Model
Yunfei Zhang, Allister Loder, Felix Rempe, Klaus Bogenberger
Transportation research record (TRR), 2023
Full paper / bibtex

We use two-fluid model to analyze GPS trajectory data and the results show that the GPS data are able to represent the general traffic.

2022

PontTuset Simulating Charging Processes of Mobility-On-Demand Services at Public Infrastructure: Can Operators Complement Each Other?
Yunfei Zhang, Roman Engelhardt, Arslan Ali Syed, Florian Dandl, Cornelius Hardt, Klaus Bogenberger
IEEE ITSC, 2022
Full paper / bibtex

We study the effects of an electric Mobility-on-Demand fleet using public charging infrastructure. It can increase the utilization during the off-peak time of private car charging.

PontTuset FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services
Roman Engelhardt, Florian Dandl, Arslan Ali Syed, Yunfei Zhang, Fabian Fehn, Fynn Wolf, Klaus Bogenberger
arXiv, 2022
Full paper / bibtex / GitHub

We create a simulation framework to model and control the tasks of Mobility-on-Demand (MoD) vehicle fleets.

PontTuset Empirical Analysis of Free-Floating Carsharing Systems in Munich and Berlin
Cornelius Hardt, Simone Weikl, Yunfei Zhang, Katrin Lippoldt, Klaus Bogenberger
TRB, 2022
bibtex / Poster

We study and compare the free-floating car-sharing systems in Munich and Berlin, Germany.

This paper is in production for a journal paper.

Teaching

Exercise

Teaching assistant, Public Transport Concepts, Planning and Operation (SS 2021/22/23/24)

Supervision of Master's Theses

Estimation of the Characteristics of Highway Infrastructure Using Drone Data
Nouman Dar (End: 11/2023)
Interactions Between Different Managed Lane Systems, a Comparative Analysis
Asadullah Faizi (End: 10/2023)
Smart Infrastructure Planning of EV Charging stations and Evaluation of Service Quality and Utilization
Kumar Kundan (End: 04/2023)
Data and simulation-based study of crowding in public transportation
Kashish Saini (End: 03/2022)

Supervision of Bachelor's Theses

Managed lanes worldwide - evolution, opportunity, trend?
Viktoria Klugbauer (End: 11/2023)
International comparison of the design of toll systems in road traffic and their effects on mode and route choice
Shuyan Peng (End: 02/2022)
Internationaler Vergleich zur Ausgestaltung von Mautsystemen im Straßenverkehr und Analyse ihrer Wirkungen
Magdalena Sojer (End: 02/2022)

Credits: Jon Barron