no code implementations • 25 Mar 2024 • 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 among different regions in the area.
no code implementations • 20 Mar 2024 • Lynn Fayed, Gustav Nilsson, Nikolas Geroliminis
In this work, we analyze a network configuration where part of the urban transportation network is devoted to dedicated bus lanes.
no code implementations • 22 Feb 2024 • 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 exploring local Stackelberg equilibria as a solution concept.
no code implementations • 20 Nov 2023 • Pengbo Zhu, Isik Ilber Sirmatel, Giancarlo Ferrari-Trecate, Nikolas Geroliminis
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 services.
no code implementations • 2 Oct 2023 • Lynn Fayed, Gustav Nilsson, Nikolas Geroliminis
First, we develop a modal- and space-dependent aggregate model for private vehicles, ride-pooling, and buses, and we use this model to test different control strategies.
no code implementations • 25 Aug 2023 • Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
In this work, we assume that a central authority wants to control the distribution of the vehicles and can do so by selecting charging prices.
no code implementations • 23 Apr 2023 • 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.
no code implementations • 19 Oct 2022 • Dimitrios Tsitsokas, Anastasios Kouvelas, Nikolas Geroliminis
However, its effectiveness under saturated conditions is questionable, while network-wide application is limited due to high instrumentation cost.
no code implementations • 16 Oct 2022 • Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
We provide a pricing mechanism that ensures the existence of a unique Nash equilibrium of the upper-level game that minimizes the external agent's objective at the same time.
no code implementations • 17 Mar 2022 • 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 of the ride-hailing company's operation in the near future.
2 code implementations • 27 Apr 2021 • Semin Kwak, Nikolas Geroliminis, Pascal Frossard
Multivariate time series forecasting poses challenges as the variables are intertwined in time and space, like in the case of traffic signals.
Ranked #7 on Traffic Prediction on PEMS-BAY (RMSE metric)
no code implementations • 2 Sep 2020 • Semin Kwak, Nikolas Geroliminis
We compare our prediction accuracy of travel time for freeways in California (I210-E and I5-S) under highly congested traffic conditions with those of other methods: the instantaneous travel time, k-nearest neighbor, support vector regression, and artificial neural network.