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Nikolaos Geroliminis

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Publications associées (301)

Integrated departure and boundary control for low-altitude air city transport systems

Nikolaos Geroliminis

Connectivity and digitalization will enable new control measures in urban air mobility operations and open new ways for integrating these measures in real-time traffic management. Hence, new control strategies can be designed to regulate both demand and su ...

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

Receding-Horizon Games with Tullock-Based Profit Functions for Electric Ride-Hailing Markets

Nikolaos Geroliminis, Marko Maljkovic, Nils Gustav Nilsson

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 governments advocate for stricter environmental regulations, integrating el ...

Institute of Electrical and Electronics Engineers Inc.2024

A dynamic macroscopic framework for pricing of ride-hailing services with an optional bus lane access for pool vehicles

Nikolaos Geroliminis, Lynn Fayed, Nils Gustav Nilsson

On-demand trip sharing is an efficient solution to mitigate the negative externalities e-hailing has on traffic in a network. It motivates platform operators to reduce their fleet size and serves the same demand level with a lower effective distance travel ...

2024

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

Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial

Nikolaos Geroliminis, Jasso Espadaler Clapés, Emmanouil Barmpounakis

The combination of multimodal interactions, dynamic congestion and lane changing phenomena in an urban environment can have a strong impact on traffic flow dynamics, active road capacity and road safety. However, while there is a vast understanding of micr ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Two-layer adaptive signal control framework for large-scale networks

Nikolaos Geroliminis, Dimitrios Tsitsokas

In this paper, the effectiveness of network-wide parallel application of perimeter control (PC) and Max Pressure (MP) strategies embedded in a two-layer control framework is assessed in a dynamic traffic simulation environment. With the aim of reducing MP ...

IEEE2023

A dynamic multi-region MFD model for ride-sourcing with ridesplitting

Nikolaos Geroliminis, Caio Vitor Beojone

Dynamic network-level models directly addressing ride-sourcing services can support the devel-opment of efficient strategies for both congestion alleviation and promotion of more sustainable mobility. Recent developments presented models focusing on ride-h ...

Pergamon-Elsevier Science Ltd2023

On Finding the Leader's Strategy in Quadratic Aggregative Stackelberg Pricing Games

Nikolaos Geroliminis, Marko Maljkovic, Nils Gustav Nilsson

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. Situations like this can for instance occur when fleet owners of electric ...

IEEE2023

Visual extensions and anomaly detection in the pNEUMA experiment with a swarm of drones

Nikolaos Geroliminis, Sohyeong Kim, Emmanouil Barmpounakis, Georgios Anagnostopoulos

The usage of Unmanned Aerial Systems (UAS) in traffic monitoring has advantages such as broader vision, flexibility, privacy, and cost-efficiency compared to other traffic monitoring sensors like loop detectors or fixed surveillance cameras. UAS has been i ...

PERGAMON-ELSEVIER SCIENCE LTD2023

On the Equilibrium and Stability Properties of a Macroscopic Model for Ride-Hailing Services with Limited Fleet Size

Nikolaos Geroliminis, Nils Gustav Nilsson

With the growing popularity of ride-hailing services and the desire to operate those services efficiently, ridehailing companies need to ensure a sufficiently large fleet size and an appropriate rebalancing of empty vehicles. Due to the complexity of city ...

IEEE2023

A Linear-Parameter-Varying Formulation for Model Predictive Perimeter Control in Multi-Region MFD Urban Networks

Nikolaos Geroliminis, Mohammadreza Saeedmanesh

An alternative approach for real-time network-wide traffic control in cities that has recently gained attention is perimeter flow control. Many studies have shown that this method is more efficient than state-of-the-art adaptive signal control strategies f ...

INFORMS2023

Providing a Revenue-forecasting Information Scheme as an Incentive to Relocate Compliant Ride-Sourcing Drivers

Nikolaos Geroliminis, Caio Vitor Beojone

Proper positioning of ride-sourcing drivers may improve vacant travel times, waiting times, and matching opportunities. Herein, we evaluate the potential repositioning response of drivers when provided a guidance based on estimates of their earnings in a s ...

2023

A hybrid microscopic model for multimodal traffic with empirical observations from aerial footage

Nikolaos Geroliminis, Georgios Anagnostopoulos

Microscopic traffic flow models can be distinguished in lane-based or lane-free depending on the degree of lane-discipline. This distinction holds true only if motorcycles are neglected in lane-based traffic. In cities, as opposed to highways, this is an o ...

2023

A macroscopic modelling framework for the dynamic pricing of pool ride-splitting vehicles in bus lanes

Nikolaos Geroliminis, Lynn Fayed, Nils Gustav Nilsson

The impact of ride-hailing vehicles on congestion raises multiple concerns, particularly in areas where the network space is constrained and the route infrastructure is unevenly distributed among multi-modal users. Mainly, idle ride-hailing vehicles pose m ...

IEEE2023

Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control

Nikolaos Geroliminis, Dimitrios Tsitsokas

Traffic-responsive signal control is a cost-effective, easy-to-implement, network management strategy, bearing high potential to improve performance in heavily congested networks with dy-namic traffic characteristics. Max Pressure (MP) distributed control ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Continuous Monitoring of a Signalized Intersection Using Unmanned Aerial Vehicles

Nikolaos Geroliminis, Jasso Espadaler Clapés, Emmanouil Barmpounakis

The use of drones offers an innovative traffic data collection technique that allows to capture very detailed and accurate vehicle trajectories. However, deploying them for an entire day would be prohibitively expensive due to the limitations of their batt ...

IEEE2023

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

Nikolaos Geroliminis, Marko Maljkovic, Nils Gustav Nilsson

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 electric mobility provides an opportunity to trade different services to achi ...

2023

Aircraft Departures Management for Low Altitude Air City Transport based on Macroscopic Fundamental Diagram

Nikolaos Geroliminis

Low-altitude aircraft is being developed as a new mode of urban transport. This will give rise to new urban air transport systems, called low-altitude air city transport (LAAT) systems. Recent works show that the Macroscopic Fundamental Diagram (MFD) is a ...

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

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