City metro network expansion based on multi-objective reinforcement learning

L Zhang, S Ni, D Chen, Z Li, W Wang, W Xian - … Research Part C …, 2024 - Elsevier
This manuscript focuses on investigating the metro network expansion problem, which is
formulated as a Markov Decision Process and addressed using a sequential station …

Prosocial dynamics in multiagent systems

FP Santos - AI Magazine, 2024 - Wiley Online Library
Meeting today's major scientific and societal challenges requires understanding dynamics of
prosociality in complex adaptive systems. Artificial intelligence (AI) is intimately connected …

MetroZero: Deep Reinforcement Learning and Monte Carlo Tree Search for Optimized Metro Network Expansion

K Alkilane, DH Lee - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Metro networks necessitate continuous expansion, either extending existing lines or
constructing new ones. Optimizing this process, however, presents multifaceted challenges …

[PDF][PDF] Fairness in Transport Network Design-A Multi-Objective Reinforcement Learning Approach

D Michailidis, W Röpke… - 2023 Adaptive …, 2023 - alaworkshop2023.github.io
Optimizing urban transportation networks can improve the lives of millions of citizens
worldwide. The problem of generating new transportation lines, which maximize the levels of …

[PDF][PDF] Enabling Inclusive Urban Transport Planning Through Civic Artificial Intelligence

D Michailidis, K Khutsishvili, K Konstantis… - Strengthening …, 2024 - library.oapen.org
We recommend enabling inclusive urban transport planning through civic artificial
intelligence. To achieve this policy recommendation, we propose the following:(1) …

Enabling Inclusive Urban Transport Planning Through Civic Artificial

IA Ibrahim, S Ghebreab - Strengthening European Mobility Policy …, 2024 - books.google.com
We recommend enabling inclusive urban transport planning through civic artificial
intelligence. To achieve this policy recommenda-tion, we propose the following:(1) …

[PDF][PDF] Multi-Objective Transport Network Design with Reinforcement Learning

D Michailidisa - … .pages.centralesupelec.fr
Urban transportation network planning involves addressing various considerations, such as
transport demand satisfaction, accessibility, and sustainability. To tackle these diverse …