Nikolaos Geroliminis

About
Privacy
Disclaimer

Graph Chatbot

Related publications (301)

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, Nils Gustav Nilsson, Lynn Fayed

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, Emmanouil Barmpounakis, Jasso Espadaler Clapés

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, Nils Gustav Nilsson, Marko Maljkovic

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

Page 4 of 31

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

Nikolaos Geroliminis, Dimitrios Tsitsokas

PERGAMON-ELSEVIER SCIENCE LTD2023