VARAS VALDÉS, MAURICIO ANDRÉS
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VARAS VALDÉS, MAURICIO ANDRÉS
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mavaras@udd.cl
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Scopus Author ID
56083198400

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Optimizing the wine transportation process from bottling plants to ports

2023 , Franco Basso , Juan Pablo Contreras , Raúl Pezoa , Alejandro Troncozo , VARAS VALDÉS, MAURICIO ANDRÉS

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Characterizing last-mile freight transportation using mobile phone data: The case of Santiago, Chile

2024 , Franco Basso , Tomás Cox , Raúl Pezoa , Tomás Maldonado , VARAS VALDÉS, MAURICIO ANDRÉS

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Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data

2021 , Franco Basso , Álvaro Cifuentes , Francisca Cuevas-Pavincich , Raúl Pezoa , VARAS VALDÉS, MAURICIO ANDRÉS

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A New Genetic Algorithm Encoding for Coalition Structure Generation Problems

2020 , Juan Pablo Contreras , BOSCH PÉREZ, PAUL JESÚS , VARAS VALDÉS, MAURICIO ANDRÉS , Franco Basso

Genetic algorithms have proved to be a useful improvement heuristic for tackling several combinatorial problems, including the coalition structure generation problem. In this case, the focus lies on selecting the best partition from a discrete set. A relevant issue when designing a Genetic algorithm for coalition structure generation problems is to choose a proper genetic encoding that enables an efficient computational implementation. In this paper, we present a novel hybrid encoding, and we compare its performance against several genetic encoding proposed in the literature. We show that even in difficult instances of the coalition structure generation problem, the proposed approach is a competitive alternative to obtaining good quality solutions in reasonable computing times. Furthermore, we also show that the encoding relevance increases as the number of players increases.

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Estimation of stops of last-mile delivery vehicles: An application in the food industry in the city of Santiago de Chile

2024 , Franco Basso , Matías Núñez , German Paredes-Belmar , Raúl Pezoa , VARAS VALDÉS, MAURICIO ANDRÉS

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The impact of electromobility in public transport: An estimation of energy consumption using disaggregated data in Santiago, Chile

2024 , Franco Basso , Felipe Feijoo , Raúl Pezoa , VARAS VALDÉS, MAURICIO ANDRÉS , Brian Vidal

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Collaborative job scheduling in the wine bottling process

2020 , Franco Basso , Mario Guajardo , VARAS VALDÉS, MAURICIO ANDRÉS

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A multi-objective approach for supporting wine grape harvest operations

2020 , VARAS VALDÉS, MAURICIO ANDRÉS , Franco Basso , Sergio Maturana , David Osorio , Raúl Pezoa

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Estimation of trip purposes in public transport during the COVID-19 pandemic: The case of Santiago, Chile

2023 , Raúl Pezoa , Franco Basso , Paulina Quilodrán , VARAS VALDÉS, MAURICIO ANDRÉS

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The Impact of Flashing on the Efficacy of Variable Message Signs: A Vehicle-by-Vehicle Approach

2022 , Franco Basso , Pedro Maldonado , Raúl Pezoa , Nicolás Szoloch , VARAS VALDÉS, MAURICIO ANDRÉS

A great deal of research has examined the efficacy of variable message signs (VMS) to induce driver behavior changes, improve safety conditions, and decongest the traffic network. However, there is little literature regarding the most effective ways to display this information on VMS. Furthermore, none of the previous contributions have concentrated on analyzing what impact flashing VMS have on drivers by using real traffic data. This article seeks to bridge this gap, analyzing the effect of incorporating intermittent light stimulation to messages on drivers’ behavior on a Chilean highway, using vehicle-by-vehicle data obtained in a non-intrusive way. In order to do so, an experiment was carried out to measure the responses of drivers when faced with two types of messages: (1) those intended to induce a speed reduction and (2) those aimed at generating lane changes. From the statistical models we obtained several insights. Our results show that flashing messages may increase the effectiveness of VMS depending on environmental and traffic conditions. In particular, for speed moderation messages, we found 12 significant effects, showing, for example, that a flashing message is most effective in the hours of darkness, with low congestion, small spacing, and low average speeds. Additionally, it has a more significant impact on experienced drivers. On the other hand, for lane change messages, we found five significant effects, showing that flashing messaging reduces its effectiveness in situations where a high cognitive load is required, such as in high flow and high average speeds. No particular effects were identified in either case for specific vehicle types.

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