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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 ...
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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...
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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 ...
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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...
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Article
Open AccessThe multi-stage dynamic stochastic decision process with unknown distribution of the random utilities
We consider a decision maker who performs a stochastic decision process over a multiple number of stages, where the choice alternatives are characterized by random utilities with unknown probability distributi...
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Article
Balancing the equity-efficiency trade-off in personal income taxation: an evolutionary approach
In this paper we propose a multi-objective evolutionary algorithm for supporting the definition of a personal income tax reform. As a case study, we apply this methodology to the Italian income tax, and consid...
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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...
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Article
Reduced cost-based variable fixing in two-stage stochastic programming
The explicit consideration of uncertainty is essential in addressing most planning and operation issues encountered in the management of complex systems. Unfortunately, the resulting stochastic programming for...
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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 ...
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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...
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Article
The multi-path Traveling Salesman Problem with stochastic travel costs
Given a set of nodes, where each pair of nodes is connected by several paths and each path shows a stochastic travel cost with unknown probability distribution, the multi-path Traveling Salesman Problem with s...
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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...
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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...
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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 ...
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Article
Flights and Their Economic Impact on the Airport Catchment Area: An Application to the Italian Tourist Market
Traditionally, in the field of air transportation management airlines have been the main actors in the process of deciding which new flights to open in a given airport, while airports acted only as the manager...
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Article
Branch-and-price and beam search algorithms for the Variable Cost and Size Bin Packing Problem with optional items
In the Variable Cost and Size Bin Packing Problem with optional items, a set of items characterized by volume and profit and a set of bins of different types characterized by volume and cost are given. The goa...
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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...
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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...
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Article
Freight distribution performance indicators for service quality planning in large transportation networks
This paper studies the use of performance indicators in routing problems to estimate how transportation cost is affected by the quality of service offered. The quality of service is assumed to be directly depe...
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Article
EVE-OPT: a hybrid algorithm for the capacitated vehicle routing problem
This paper presents EVE-OPT, a Hybrid Algorithm based on Genetic Algorithms and Taboo Search for solving the Capacitated Vehicle Routing Problem. Several hybrid algorithms have been proposed in recent years fo...
