Publications by Pengbo Zhu | EPFL Graph Search

Fleet Operations in Autonomous Mobility-on-Demand Systems: Vehicle Repositioning and Coordinated Route Planning

The urban landscape is in flux. Traffic congestion, environmental concerns, and a growing desire for flexible transportation options are pushing cities to rethink mobility. Mobility-on-Demand (MoD) systems, such as Uber and Lyft, offer a promising opportun ...

EPFL2025

A Coverage Control-Based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems

Nikolaos Geroliminis, Giancarlo Ferrari Trecate, Pengbo Zhu

As an emerging mode of urban transportation, autonomous mobility-on-demand (AMoD) systems show the potential in improving mobility in cities through timely and door-to-door services. However, the spatiotemporal imbalances between mobility demand and supply ...

Ieee-Inst Electrical Electronics Engineers Inc2024

A hierarchical control framework for vehicle repositioning in ride-hailing systems

Caio Vitor Beojone, Pengbo Zhu

This paper introduces a multi-layer control strategy for efficiently repositioning empty ride-hailing vehicles, aiming to bridge the gap between proactive repositioning strategies and micro-management. The proposed framework consists of three layers: an up ...

2024

Hierarchical Control for Vehicle Repositioning in Autonomous Mobility-on-Demand Systems

Nikolaos Geroliminis, Giancarlo Ferrari Trecate, Pengbo Zhu

Balancing passenger demand and vehicle availability is crucial for ensuring the sustainability and effectiveness of urban transportation systems. To address this challenge, we propose a novel hierarchical strategy for the efficient distribution of empty ve ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2024

A Two-layer Approach for Rebalancing Ride-hailing Vehicles

Nikolaos Geroliminis, Caio Vitor Beojone, Pengbo Zhu

Ride-hailing services are emerging as a mode of transportation, necessitating modeling and control methods for efficient management. In this paper, we propose a hierarchical control framework for the optimal positioning of idle vehicles for maximizing serv ...

IEEE2023

Data-enabled Predictive Control for Empty Vehicle Rebalancing

Nikolaos Geroliminis, Giancarlo Ferrari Trecate, Pengbo Zhu

A critical operational challenge in Mobility-on-demand systems is the problem of imbalance between vehicle supply and passenger demand. However, conventional model-based methods require accurate parametric system models with complex nonlinear dynamics that ...

IEEE2023

Idle-vehicle Rebalancing Coverage Control for Ride-sourcing systems

Nikolaos Geroliminis, Giancarlo Ferrari Trecate, Pengbo Zhu

Ride-sourcing system can provide passengers with fast and efficient service with a fleet of vehicles, while asymmetry between origin and destination distributions of trips, nonuniform passenger's demand for rides in different districts creates imbalances i ...

IEEE2022

Empty Vehicle Repositioning for Autonomous Mobility-on-Demand systems via Coverage Control

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

2022