A reinforcement learning approach for bus network design and frequency setting optimisation

S Yoo, JB Lee, H Han - Public Transport, 2023 - Springer
This paper proposes a new approach to solve the problem of bus network design and
frequency setting (BNDFS). Transit network design must satisfy the needs of both service …

Robust electric transit route network design problem (RE-TRNDP) with delay considerations: Model and application

C Iliopoulou, K Kepaptsoglou - Transportation Research Part C: Emerging …, 2021 - Elsevier
Electric bus networks are steadily gaining ground as the prominent option for urban public
transport. However, in contrast to conventional transit systems operated by diesel buses …

Multi-objective planning of electric bus systems in cities with trolleybus infrastructure networks

C Iliopoulou, IX Tassopoulos… - Sustainable Cities and …, 2024 - Elsevier
Abstract The deployment of In-Motion-Charging (IMC) trolleybuses is considered a
promising approach for efficiently increasing the share of electric public transport modes in …

A simulation-based optimization approach for designing transit networks

OA Nnene, JW Joubert, MHP Zuidgeest - Public Transport, 2023 - Springer
Public transport network design deals with finding efficient network solution (s) from a set of
alternatives that best satisfies the often-conflicting objectives of stakeholders like …

[HTML][HTML] A variable neighbourhood search-based algorithm for the transit route network design problem

C Iliopoulou, I Tassopoulos, G Beligiannis - Applied Sciences, 2022 - mdpi.com
The transit route network design problem (TRNDP) has long attracted research attention,
with many metaheuristic approaches proposed for its solution. So far, and despite the …

[HTML][HTML] Transit route network redesign under Electrification: Model and application

C Pylarinou, C Iliopoulou, K Kepaptsoglou - International Journal of …, 2021 - Elsevier
Electrification of surface transportation networks has the potential to reduce oil consumption
and transport-related emissions, with many relevant projects currently underway worldwide …

Traffic Signal Setting at Urban Junctions and Fundamental Diagram: A Before–After Study

B Alonso, S Del Giudice, G Musolino… - Journal of Advanced …, 2025 - Wiley Online Library
The paper analyses the effects of modifying traffic light regulations at urban road junctions,
focussing on the ratio between green time and cycle time, as a function of vehicular traffic …

[HTML][HTML] Fitness-based acceleration coefficients binary particle swarm optimization (FACBPSO) to solve the discounted knapsack problem

A Sulaiman, M Sadiq, Y Mehmood, M Akram, GA Ali - Symmetry, 2022 - mdpi.com
The discounted {0-1} knapsack problem (D {0-1} KP) is a multi-constrained optimization and
an extended form of the 0-1 knapsack problem. The DKP is composed of a set of item …

Addressing Overcrowding: A Plight for Smart Cities

PR Anisha, R Badam, VS Kaza - Smart Sensors for Industry 4.0 …, 2025 - Wiley Online Library
Over the past few years, Industry 4.0, and more prominently, Smart Cities, have been
develo** into a technological reality with new advancements in people's everyday lives …

Artificial Intelligence as Research Methods in Urban Design

HS Choi, W Zhang - Journal of Planning Literature, 2024 - journals.sagepub.com
This paper delves into the role of artificial intelligence (AI) in urban design, focusing on its
capability to manage complex urban systems via paradigm classification and comparative …