88 citations · 207 across the 31 of their papers we have counts for
17 papers · 1 filter
Strategic Dispatching Equilibrium under Competition in Multi-Regional Ride-Hailing Markets
Ran Chen, Nikolas Geroliminis
This paper studies competition between ride-hailing companies in a multi-regional market through a static non-cooperative game, in which each company allocates its fleet across reg…
Cooperative Detour Planning for Dual-Task Drone Fleets
Pengbo Zhu, Meng Xu, Andreas A. Malikopoulos +1
As Urban air mobility scales, commercial drone fleets offer a compelling, yet underexplored opportunity to function as mobile sensor networks for real-time urban traffic monitoring…
En Route Path-planning for Partially Occupied Vehicles in Ride-pooling Systems
Pengbo Zhu, Giancarlo Ferrari-Trecate, Nikolas Geroliminis
Ride-pooling services, such as UberPool and Lyft Shared Saver, enable a single vehicle to serve multiple customers within one shared trip. Efficient path-planning algorithms are cr…
No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
Anna Maddux, Marko Maljkovic, Nikolas Geroliminis +1
We consider the problem of efficiently learning to play single-leader multi-follower Stackelberg games when the leader lacks knowledge of the lower-level game. Such games arise in…
On Learning-Based Traffic Monitoring With a Swarm of Drones
Marko Maljkovic, Nikolas Geroliminis
Efficient traffic monitoring is crucial for managing urban transportation networks, especially under congested and dynamically changing traffic conditions. Drones offer a scalable…
Receding-Horizon Games with Tullock-Based Profit Functions for Electric Ride-Hailing Markets
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
This paper proposes a receding-horizon, game-theoretic charging planning mechanism for electric ride-hailing markets. As the demand for ride-hailing services continues to surge and…
Hierarchical Control for Vehicle Repositioning in Autonomous Mobility on Demand Systems
Pengbo Zhu, Giancarlo Ferrari-Trecate, Nikolas Geroliminis
Balancing passenger demand and vehicle availability is crucial for ensuring the sustainability and effectiveness of urban transportation systems. To address this challenge, we prop…
A Blotto Game Approach to Ride-hailing Markets with Electric Vehicles
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
When a centrally operated ride-hailing company considers to enter a market already served by another company, it has to make a strategic decision about how to distribute its fleet…
Macroscopic pricing schemes for the utilization of pool ride-hailing vehicles in bus lanes
Lynn Fayed, Gustav Nilsson, Nikolas Geroliminis
With the increasing popularity of ride-hailing services, new modes of transportation are having a significant impact on the overall performance of transportation networks. As a res…
On decentralized computation of the leader's strategy in bi-level games
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Motivated by the omnipresence of hierarchical structures in many real-world applications, this study delves into the intricate realm of bi-level games, with a specific focus on exp…
A Coverage Control-based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems
Pengbo Zhu, Isik Ilber Sirmatel, Giancarlo Ferrari-Trecate +1
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 service…
A Dynamic Macroscopic Framework for Pricing of Ride-hailing Services with an Optional Bus Lane Access for Pool Vehicles
Lynn Fayed, Gustav Nilsson, Nikolas Geroliminis
On-demand trip sharing is an efficient solution to mitigate the negative impact e-hailing has on congestion. It motivates platform operators to reduce their fleet size, and serves…
Learning How to Price Charging in Electric Ride-Hailing Markets
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
With the electrification of ride-hailing fleets, there will be a need to incentivize where and when the ride-hailing vehicles should charge. In this work, we assume that a central…
On Finding the Leader's Strategy in Quadratic Aggregative Stackelberg Pricing Games
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
This paper analyzes a class of Stackelberg games where different actors compete for shared resources and a central authority tries to balance the demand through a pricing mechanism…
Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control
Dimitrios Tsitsokas, Anastasios Kouvelas, Nikolas Geroliminis
Traffic-responsive signal control is a cost-effective and easy-to-implement network management strategy with high potential in improving performance in congested networks with dyna…
Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Due to the ever-increasing popularity of ride-hailing services and the indisputable shift towards alternative fuel vehicles, the intersection of the ride-hailing market and smart e…
A Pricing Mechanism for Balancing the Charging of Ride-Hailing Electric Vehicle Fleets
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Both ride-hailing services and electric vehicles are becoming increasingly popular and it is likely that charging management of the ride-hailing vehicles will be a significant part…