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Nikolaos Geroliminis

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Related publications (301)

A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations

Nikolaos Geroliminis, Claudia Bongiovanni

This paper contributes to the intersection of operations research and machine learning in the context of autonomous ridesharing. In this work, autonomous ridesharing operations are reproduced through an event-based simulation approach and are modeled as a ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Urban parking lot occupancy monitoring with drone flights

Nikolaos Geroliminis, Yura Tak, Sohyeong Kim, Emmanouil Barmpounakis

2022

TwoResNet: Two-level resolution neural network for traffic forecasting on freeway networks

Nikolaos Geroliminis, Semin Kwak

Traffic forecasting problems of freeway networks are heavily tackled by deep learning methods because it requires learning highly complex correlations between variables both in time and space. Adopting a graph convolutional network (GCN) becomes a standard ...

IEEE2022

Repositioning ridesplitting vehicles through pricing: A two-region simulated study

Nikolaos Geroliminis, Caio Vitor Beojone

2022

Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Carpooling is an efficient measure to fight car ownership and reduce vehicle kilometres travelled. By individuals sharing their commutes, vehicle occupancy increases and congestion is reduced. We develop a dynamic ADL (Arnott, de Palma, Lindsey)-Vickrey ap ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Incentive-based electric vehicle charging for managing bottleneck congestion

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

We propose an incentive-based traffic demand management policy to alleviate traffic congestion on a road stretch that creates a bottleneck for the commuters. The incentive targets electric vehicles owners by proposing a discount on the energy price they us ...

ELSEVIER2022

Impacts of Metering-Based Dynamic Priority Schemes

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

Several works published over the last two decades have shown for a stylized set-up with homogeneous users that metering-based priority (MBP) schemes may generate Pareto improving departure time adjustments similar to those induced by congestion pricing, bu ...

INFORMS2022

Penalized denoising of vehicle trajectories collected by a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis, Georgios Anagnostopoulos

Vehicle trajectory datasets collected in urban traffic environments with drones pose unique chal- lenges in terms of denoising due to extensive visual restrictions, perspective distortions and human- induced errors. This article taps into the unexplored po ...

2022

Operational analysis of an innovative semi-autonomous on-demand transportation system

Nikolaos Geroliminis, Martin Jean Marie Joseph Repoux

Semi-autonomous transportation systems are an intermediate step towards full automation of transportation systems. They use and benefit from the technological advances brought by automation while being already implementable at larger scale under the curren ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Empirical investigation of the emission-macroscopic fundamental diagram

Nikolaos Geroliminis, Martí Montesinos Ferrer, Emmanouil Barmpounakis, Eric Justin Gonzales

Vehicle emissions are a major contributor of air pollution in urban areas, with severe consequences for public health and the environment. This paper focuses on analyzing vehicle emissions in a multimodal urban context to better understand its determinants ...

2021

Assessing the Accuracy of Link Accumulation Estimation

Nikolaos Geroliminis

2021

Community detection in large scale congested urban road networks

Nikolaos Geroliminis

Traffic congestion in large urban networks may take different shapes and propagates non-uniformly variations from day to day. Given the fact that congestion on a road segment is spatially correlated to adjacent roads and propagates spatiotemporally with fi ...

PUBLIC LIBRARY SCIENCE2021

Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control

Nikolaos Geroliminis, Isik Ilber Sirmatel

Traffic control for large-scale urban road networks remains a challenging problem. Aggregated dynamical models of city-scale traffic, based on the macroscopic fundamental diagram (MFD), enable development of model-based perimeter control methods. Involving ...

2021

Modeling and optimization of dedicated bus lanes space allocation in large networks with dynamic congestion

Nikolaos Geroliminis, Anastasios Kouvelas, Dimitrios Tsitsokas

Dedicated bus lanes provide a low cost and easily implementable strategy to improve transit service by minimizing congestion-related delays. Identifying the best spatial distribution of bus-only lanes in order to maximize traffic performance of an urban ne ...

2021

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Nikolaos Geroliminis, Semin Kwak

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however, makes this prediction a challenging task. Here we propose to use dynamic linear models (DLMs) to a ...

IEEE Institute of Electrical and Electronics Engineers2021

Monotonicity in the trip scheduling problem

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

The equilibrium of the archetypal morning commute problem with alpha -,B - gamma preferences has been shown to be unstable with various rational adjustment mechanisms, under both continuous and discrete day-to-day dynamics. It is not clear however whether ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Nikolaos Geroliminis, Emmanouil Barmpounakis

The work proposes a multi-modal regional mean speed regression analysis for the city network of Athens, Greece. The dataset from pNUEMA experiment is used in the present context. Accumulations and mean speeds of different modes are estimated and compared t ...

2021

Predictive user-based relocation through incentives in one-way car-sharing systems

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Car-sharing systems are an attractive alternative to private vehicles due to their benefits in terms of mobility and sustainability. However, the distribution of vehicles throughout the network in one-way systems is disturbed due to asymmetry and stochasti ...

2021

Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

Nikolaos Geroliminis, Isik Ilber Sirmatel, Anastasios Kouvelas, Dimitrios Tsitsokas

City-scale control of urban road traffic poses a challenging problem. Dynamical models based on the macroscopic fundamental diagram (MFD) enable development of model predictive perimeter control methods for large-scale urban networks, representing an advan ...

2021

An extended Kalman filter approach for real-time state estimation in multi-region MFD urban networks

Nikolaos Geroliminis, Mohammadreza Saeedmanesh, Anastasios Kouvelas

The problem of traffic state estimation for large-scale urban networks modeled with MFD dynamics is studied here. Given a network partitioned in a number of regions, aggregated traffic dynamics describe the vehicle accumulation in each region, as well as t ...

PERGAMON-ELSEVIER SCIENCE LTD2021

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