Nikolaos Geroliminis

Publications associées (301)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Learning How to Price Charging in Electric Ride-Hailing Markets

Nikolaos Geroliminis, Nils Gustav Nilsson, Marko Maljkovic

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 authority wants to control the distribution of the vehicles and can do so by ...

IEEE2023

On the dynamic pricing of ride-splitting markets with multi-modal interactions and an occupancy-dependent spatial allocation

Nikolaos Geroliminis, Nils Gustav Nilsson, Lynn Fayed

The National Academies of Sciences, Engineering, and Medicine2023

Relocation incentives for ride-sourcing drivers with path-oriented revenue forecasting based on a Markov Chain model

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 guidance based on estimates of their earnings in a sys ...

Pergamon-Elsevier Science Ltd2023

Traffic congestion and noise emissions with detailed vehicle trajectories from UAVs

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

Excessive noise in cities due to road traffic negatively affects human health. We utilize detailed vehicle trajectories collected by a swarm of drones to estimate traffic noise emissions in an urban environment. We use the CNOSSOS model to estimate vehicle ...

Pergamon-Elsevier Science Ltd2023

On the utilization of dedicated bus lanes for pooled ride-hailing services

Nikolaos Geroliminis, Nils Gustav Nilsson, Lynn Fayed

Ride-sourcing platforms, among other solution services, offer convenience and flexibility when it comes to pick-up/drop-off time and location. Similarly, ride-splitting renders itself as an extension of ride-sourcing where platform users agree to share the ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones

Nikolaos Geroliminis, Emmanouil Barmpounakis

Unmanned aerial systems, known as "drones", are relatively new in collecting traffic data. Data from drone videography can have potential applications for traffic research. Drones can record the vehicles from their aerial point-of-view and provide their na ...

IEEE Institute of Electrical and Electronics Engineers2023

A continuum approximation approach to the depot location problem in a crowd-shipping system

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Last-mile delivery in the logistics chain contributes to congestion in urban networks due to frequent stops. Crowd-shipping is a sustainable and low-cost alternative to traditional delivery but relies heavily on the availability of occasional couriers. In ...

PERGAMON-ELSEVIER SCIENCE LTD2023

An optimized driver repositioning strategy in ridesplitting with earning estimates: a two-layer dynamic model and control

Nikolaos Geroliminis, Caio Vitor Beojone

2022

How different charging prices can contribute to the balancing of ride-hailing services with electric vehicles

Nikolaos Geroliminis, Nils Gustav Nilsson, Marko Maljkovic

Motivated by the growing popularity of both the services offered by the ride-hailing companies and the electric vehicles (EVs), we study a scenario in which a central body e.g., the government, wants to influence how the EVs of different ride-hailing compa ...

2022

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

Decentralized signal control of congested traffic networks based on the Max-Pressure (MP) controller is theoretically proven to maximize throughput, stabilize the system and balance queues for single intersections under specific conditions. However, its pe ...

2022

Page 5 sur 31