Many vehicles are connected to the Internet, and big data are continually created. Various
studies have been conducted involving the development of artificial intelligence, machine …

This paper investigates the implementation of a Multi-Objective Optimization technique for
improving public transportation route planning in the setting of smart cities. Recognizing the …

This article describes the national initiative for installing and operating a collaborative
scientific HPC infrastructure in Uruguay (Cluster-UY). The project was conceived as a mean …

Transportation systems play a major role in modern urban contexts, where citizens are
expected to travel in order to engage in social and economic activities. Modern …

This article presents electricity demand forecasting models for industrial and residential
facilities, developed using ensemble machine learning strategies. Short term electricity …

This article presents an analysis and characterization of recent sustainable initiatives
developed for the public transportation of Montevideo, Uruguay. In addition, specific analysis …

This article presents a parallel evolutionary algorithm for public transport optimization by
synchronizing traffic lights in the context of Bus Rapid Transit systems. The related …

Urban mobility and strategies for public transportation play a vital role in promoting a more
sustainable, accessible, and livable urban environment in smart cities. Data-driven decision …

Knowing the mobility patterns of citizens using public transportation is an important issue for
modern smart cities. Mobility information is crucial for designing and planning an urban …

This article presents the application of a learning-based optimization method to solve the
Bus Synchronization Problem, a relevant problem in public transportation systems. The …