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A reinforcement learning approach for bus network design and frequency setting optimisation
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 …
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
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 …
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
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 …
promising approach for efficiently increasing the share of electric public transport modes in …
A simulation-based optimization approach for designing transit networks
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 …
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
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 …
with many metaheuristic approaches proposed for its solution. So far, and despite the …
[HTML][HTML] Transit route network redesign under Electrification: Model and application
Electrification of surface transportation networks has the potential to reduce oil consumption
and transport-related emissions, with many relevant projects currently underway worldwide …
and transport-related emissions, with many relevant projects currently underway worldwide …
Traffic Signal Setting at Urban Junctions and Fundamental Diagram: A Before–After Study
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 …
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
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 …
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 …
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 …
capability to manage complex urban systems via paradigm classification and comparative …