Pengbo Zhu

Pengbo Zhu

PhD Student

EPF Lausanne

As the creator of intelligent machine, it’s our turn to endow them with the concepts of control and optimization, which we human beings have innately.

Pengbo Zhu is a PhD student in the Laboratory of Urban Transport systems(LUTS) in EPFL Lausanne. She obtained her bachelor degree in Automation in 2017, and her master degree in Control Science and Engineering in 2019 both from Harbin Institute of Technology, China. Her research interests are model and automatic control, optimization with applications in transport system.

Pengbo has taken part in the #NCCRWomen campaign. You can see her great video here.

Scientific Publications

Published

Data-Enabled Predictive Control for Empty Vehicle Rebalancing

European Control Conference (ECC 23)

Pengbo Zhu, Giancarlo Ferrari Trecate, Nikolas Geroliminis

2023

Collection

Published

Idle-vehicle rebalancing coverage control for ride-sourcing systems

2022 European Control Conference (ECC)

Pages 1970-1975

Pengbo Zhu, Isik Ilber Sirmatel, Giancarlo Ferrari Trecate, Nikolas Geroliminis

2022

Doi.org Collection

Research projects as Researcher

Title

Principal Investigators

Distributed Dynamic Coverage Control for On-Demand Transportation Operations

Nikolas Geroliminis, Giancarlo Ferrari Trecate, John Lygeros

Summary

Emerging shared-mobility systems create additional opportunities to decrease car ownership and congestion. Asymmetric demand creates imbalances in the distribution of vehicles for these systems. To maximize the covered demand and decrease the waiting time of passengers, vehicle distribution has to be rebalanced with relocations. The potentially very high number of vehicles necessitates using distributed control algorithms to efficiently solve this problem. Presence of multiple companies competing to serve the same demand can be addressed via game theoretic approaches. Μatching algorithms to create shared rides can be combined with the coverage problem to increase coverage in areas with high demand. Fairness in covering low demand areas will also be investigated.

People involved