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Project Title
Improving wine supply chain activities through operations research tools.
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Internal ID
11190892
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Start Date
2019

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Publication

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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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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Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile

2023 , Franco Basso , Jonathan Frez , Hugo Hernández , Víctor Leiva , Raúl Pezoa , VARAS VALDÉS, MAURICIO ANDRÉS

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Measuring efficiency in the Chilean wine industry: a robust DEA approach

2020 , VARAS VALDÉS, MAURICIO ANDRÉS , Franco Basso , Sergio Maturana , Raúl Pezoa , Marcelo Weyler

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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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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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A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

2021 , Franco Basso , Raúl Pezoa , VARAS VALDÉS, MAURICIO ANDRÉS , Matías Villalobos

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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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Accessibility to opportunities based on public transport gps-monitored data: The case of Santiago, Chile

2020 , Franco Basso , Jonathan Frez , Luis Martínez , Raúl Pezoa , VARAS VALDÉS, MAURICIO ANDRÉS

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The impact of bus punctuality on users’ decisions and welfare

2022 , Fernando Feres , Franco Basso , Raúl Pezoa , VARAS VALDÉS, MAURICIO ANDRÉS , Eusebio Vargas-Estrada

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