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    Chapter and Conference Paper

    LSTM Noise Robustness: A Case Study for Heavy Vehicles

    Artificial intelligence (AI) techniques are becoming more and more widespread. This is directly related to technology progress and aspects as the flexibility and adaptability of the algorithms considered, key ...

    Maria Elena Bruni, Guido Perboli in Machine Learning, Optimization, and Data S… (2024)

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    Chapter

    Bin Packing Methodologies for Capacity Planning in Freight Transportation and Logistics

    Capacity planning may be defined as the process of determining the appropriate mix and quantity of resources to meet demand. We focus on Consolidation-based Freight Transportation and Logistics in this chapter...

    Maria Elena Bruni, Teodor Gabriel Crainic in Combinatorial Optimization and Applications (2024)

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    Chapter and Conference Paper

    Analysis of Heavy Vehicles Rollover with Artificial Intelligence Techniques

    The issue of heavy vehicles rollover appears to be central in various sectors. This is due to the consequences entailed in terms of driver and passenger safety, other than considering aspects as environmental ...

    Filippo Velardocchia, Guido Perboli in Machine Learning, Optimization, and Data S… (2023)

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    Chapter

    City Logistics

    City Logistics aims to reduce the nuisances, e.g., congestion and the environmental footprint, associated to the transportation of freight within urban areas, while sustaining the social and economic developme...

    Teodor Gabriel Crainic, Guido Perboli in Network Design with Applications to Transp… (2021)

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    Chapter

    An Algorithm for the Optimal Waste Collection in Urban Areas

    In waste collection, one of the most important decision regards the routing and the scheduling of the service. In this context, during the Optimization for Networked Data in Environmental Urban Waste Collectio...

    Edoardo Fadda, Guido Perboli, Roberto Tadei in A View of Operations Research Applications… (2019)

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    Chapter

    A Recent Approach to Derive the Multinomial Logit Model for Choice Probability

    It is well known that the Multinomial Logit model for the choice probability can be obtained by considering a random utility model where the choice variables are independent and identically distributed with a ...

    Roberto Tadei, Guido Perboli in New Trends in Emerging Complex Real Life P… (2018)

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    Chapter and Conference Paper

    A Decision Support System for Optimizing the Last-Mile by Mixing Traditional and Green Logistics

    In recent years, freight transportation has emerged as a key factor in the development and dynamicity of countries. However, it has had a considerable impact on urban areas due to environmental issues. Owing t...

    Guido Perboli, Mariangela Rosano in Information Systems, Logistics, and Supply Chain (2018)

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    Chapter and Conference Paper

    Adaptive Batteries Exploiting On-Line Steady-State Evolution Strategy

    In energy distribution systems, uncertainty is the major single cause of power outages. In this paper, we consider the usage of electric batteries in order to mitigate it. We describe an intelligent battery ab...

    Edoardo Fadda, Guido Perboli in Applications of Evolutionary Computation (2017)

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    Chapter and Conference Paper

    An ICT-Based Reference Model for E-grocery in Smart Cities

    E-grocery is a new emerging and challenging business channel for the food and beverage market, enabling consumers to purchase grocery products online. It combines the issues of last mile distribu...

    Roberto Tadei, Edoardo Fadda, Luca Gobbato, Guido Perboli in Smart Cities (2016)

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    Chapter and Conference Paper

    Driver Maneuvers Inference Through Machine Learning

    Inferring driver maneuvers is a fundamental issue in Advanced Driver Assistance Systems (ADAS), which can significantly increase security and reduce the risk of road accidents. This is not an easy task due to ...

    Mauro Maria Baldi, Guido Perboli in Machine Learning, Optimization, and Big Da… (2016)

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    Chapter

    GRASP with Path Relinking for the Two-Echelon Vehicle Routing Problem

    We propose a meta-heuristic based on greedy randomized adaptive search procedure (GRASP) combined with path relinking to address the two-echelon vehicle routing problem (2E-VRP), an extension of the capacitate...

    Teodor Gabriel Crainic, Simona Mancini, Guido Perboli in Advances in Metaheuristics (2013)

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    Chapter and Conference Paper

    Multi-start Heuristics for the Two-Echelon Vehicle Routing Problem

    In this paper we address the Two-Echelon Vehicle Routing Problem (2E-VRP), an extension of the classical Capacitated VRP, where the delivery from a single depot to the customers is managed by routing and consolid...

    Teodor Gabriel Crainic, Simona Mancini in Evolutionary Computation in Combinatorial … (2011)

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    Chapter

    A Heuristic Procedure for Rack Configuration in the Space Vehicle Accommodation Problem

    In space engineering a difficult task is often represented by the cargo analytical integration. A major problem is the items accommodation into a space system.

    Luca Colaneri, Federico Della Croce, Guido Perboli in Operations Research in Space and Air (2003)