Alessandro Luè - Academia.edu (original) (raw)
Papers by Alessandro Luè
Group Decision and Negotiation, 2014
ABSTRACT The paper presents a conflict analysis in an environmental impact assessment. In order t... more ABSTRACT The paper presents a conflict analysis in an environmental impact assessment. In order to cope with a problem of traffic congestion in a tourist area, alternative transportation services and measures of travel demand management are studied and compared using the multi-attribute value theory. The problem is characterized by the presence of different criteria and conflicting actors who have different interests (expressed by criteria weights) and different decision power, which have been elicited from the actors’ representatives. A group viewpoint is generated through an aggregation of the different actors’ viewpoints, in order to find a group compromise solution. A conflict analysis, conducted on the criteria weights, is performed to examine the level of agreement associated with the compromise solution.
Procedia - Social and Behavioral Sciences, 2011
Carpooling is a transport system based on a shared use of private cars. The mobility managers of ... more Carpooling is a transport system based on a shared use of private cars. The mobility managers of the Università Statale and Politecnico di Milano universities are interested in promoting the use of such system among their students and employees. The paper presents an ongoing project to design, implement and test PoliUniPool, a car pooling service for such universities. The main characteristics of the PoliUniPool service are the following: (1) the use of the system is restricted to employees, faculty and students of the two universities; (2) besides suggesting a matching between the users, the system provides the expected schedule for their trips; (3) in addition to the campus premises, users can selectas destination of their car pooling tripsthe main railway and subway stations, in order to encourage the most environmental friendly means; (4) users are informed immediately in case of delay or changes, to improve the reliability of the service; (5) the system estimates the costs for each user, in order to let the users know how to share them; (6) the system has some social network functionalities, e.g. drivers are able to set partial prearranged crews; and users may indicate other users they would prefer to car-pool with ("friends") or they don't want to ("I don't like him/her"). A web-based software tool has been implemented to manage the matching of the users. In order to solve the carpooling problem, we use an heuristics, based on a guided Monte Carlo method. The algorithm minimizes an objective function, subject to user time windows and car capacity constraints. The objective function is a weighted sum of different terms in order to maximize the number of served users, minimizing the total route length, and maximizing the satisfied user preferences (e.g. friends). The result is a matching between drivers and passengers, their schedules and the routes to be driven by each driver. The trial of the proposed service will start on September 2011 and will take into account how to introduce and promote the service, identifying regulation, incentives, modalities, and marketing actions.
Networks, 2014
Traditional car-sharing services are based on the two-way scheme, where the user picks up and ret... more Traditional car-sharing services are based on the two-way scheme, where the user picks up and returns the vehicle at the same parking station. Some services permits also one-way trips, which allows the user to return the vehicle in another station. The one-way scheme is quite more attractive for the users, but may pose a problem for the distribution of the vehicles, due to a possible unbalancing between the user demand and the availability of vehicles or free slots at the stations. Such a problem is more complicated in the case of electrical car sharing, where the travel range depends on the level of charge of the vehicles. The paper presents a new approach for the Electric Vehicle Relocation Problem, where cars are moved by personnel of the service operator to keep the system balanced. Such a problem generates a challenging pickup and delivery problem with new features that to the best of our knowledge never have been considered in the literature. We yield a Mixed Integer Linear Programming formulation and some valid inequalities to speed up its solution through a state-of-the art solver (CPLEX). We test our approach on verisimilar instances built on the Milan road network.
Procedia - Social and Behavioral Sciences, 2014
Traditional car-sharing services are based on the two-way scheme, where the user picks up and ret... more Traditional car-sharing services are based on the two-way scheme, where the user picks up and returns the vehicle at the same parking station. Some services allow also one-way trips, where the user can return the vehicle in another station. The one-way scheme is more attractive for the users, but may pose a problem for the distribution of the vehicles, due to a possible unbalancing between the user demand and the availability of vehicles or free slots at the stations. Such a problem is more complicated in the case of electric car sharing, where the travel range depends on the level of charge of the vehicles. In a previous work, we introduced a new approach to relocate the vehicles where cars are moved by personnel of the service operator to keep the system balanced. Such relocation method generates a new challenging pickup and delivery problem that we call the Electric Vehicle Relocation Problem (EVRP). In this work we focus on a method to forecast the unbalancing of a car-sharing system. We apply such method to the data yielded by the Milan transport agency taking into account the location and capacity of the present charging stations in Milan. In this way, using a Mixed Integer Linear Programming formulation of EVRP, we can estimate the advantages of our relocation approach on verisimilar instances.
Proceedings of Ewgt 2012 - 15th Meeting of the Euro Working Group on Transportation, 2012
ABSTRACT We propose a new stochastic traffic flow model for highways (freeways), which is a hybri... more ABSTRACT We propose a new stochastic traffic flow model for highways (freeways), which is a hybrid between the classical cellular automata and the other microscopic traffic models, using continuous cellular automata. We combine the computational efficiency of cellular automata models with the accuracy of the microscopic models by introducing continuity in space. This continuity allows us to embed a multi-agent system based on fuzzy reasoning to simulate different driver-vehicle behaviours. The experimental results show that our model is able to reproduce the typical traffic flow phenomena with a variety of effects due to the heterogeneity within traffic stream.
Procedia - Social and Behavioral Sciences, 2012
IEEE Forum on Integrated and Sustainable Transportation System, 2011
Research funding and innovation processes are key instruments to reduce greenhouse gas (GHG) emis... more Research funding and innovation processes are key instruments to reduce greenhouse gas (GHG) emissions from transport. This paper presents a contribution to the development of a European strategy on climate-friendly transport research funding. A Strategic Research Agenda (SRA) was set up, in order to define research priorities, develop future roadmaps, and suggest targets that can be actually achieved in the
Cologne Twente Workshop on Graphs and Combinatorical Optimization, 2009
Group Decision and Negotiation, 2014
ABSTRACT The paper presents a conflict analysis in an environmental impact assessment. In order t... more ABSTRACT The paper presents a conflict analysis in an environmental impact assessment. In order to cope with a problem of traffic congestion in a tourist area, alternative transportation services and measures of travel demand management are studied and compared using the multi-attribute value theory. The problem is characterized by the presence of different criteria and conflicting actors who have different interests (expressed by criteria weights) and different decision power, which have been elicited from the actors’ representatives. A group viewpoint is generated through an aggregation of the different actors’ viewpoints, in order to find a group compromise solution. A conflict analysis, conducted on the criteria weights, is performed to examine the level of agreement associated with the compromise solution.
Procedia - Social and Behavioral Sciences, 2011
Carpooling is a transport system based on a shared use of private cars. The mobility managers of ... more Carpooling is a transport system based on a shared use of private cars. The mobility managers of the Università Statale and Politecnico di Milano universities are interested in promoting the use of such system among their students and employees. The paper presents an ongoing project to design, implement and test PoliUniPool, a car pooling service for such universities. The main characteristics of the PoliUniPool service are the following: (1) the use of the system is restricted to employees, faculty and students of the two universities; (2) besides suggesting a matching between the users, the system provides the expected schedule for their trips; (3) in addition to the campus premises, users can selectas destination of their car pooling tripsthe main railway and subway stations, in order to encourage the most environmental friendly means; (4) users are informed immediately in case of delay or changes, to improve the reliability of the service; (5) the system estimates the costs for each user, in order to let the users know how to share them; (6) the system has some social network functionalities, e.g. drivers are able to set partial prearranged crews; and users may indicate other users they would prefer to car-pool with ("friends") or they don't want to ("I don't like him/her"). A web-based software tool has been implemented to manage the matching of the users. In order to solve the carpooling problem, we use an heuristics, based on a guided Monte Carlo method. The algorithm minimizes an objective function, subject to user time windows and car capacity constraints. The objective function is a weighted sum of different terms in order to maximize the number of served users, minimizing the total route length, and maximizing the satisfied user preferences (e.g. friends). The result is a matching between drivers and passengers, their schedules and the routes to be driven by each driver. The trial of the proposed service will start on September 2011 and will take into account how to introduce and promote the service, identifying regulation, incentives, modalities, and marketing actions.
Networks, 2014
Traditional car-sharing services are based on the two-way scheme, where the user picks up and ret... more Traditional car-sharing services are based on the two-way scheme, where the user picks up and returns the vehicle at the same parking station. Some services permits also one-way trips, which allows the user to return the vehicle in another station. The one-way scheme is quite more attractive for the users, but may pose a problem for the distribution of the vehicles, due to a possible unbalancing between the user demand and the availability of vehicles or free slots at the stations. Such a problem is more complicated in the case of electrical car sharing, where the travel range depends on the level of charge of the vehicles. The paper presents a new approach for the Electric Vehicle Relocation Problem, where cars are moved by personnel of the service operator to keep the system balanced. Such a problem generates a challenging pickup and delivery problem with new features that to the best of our knowledge never have been considered in the literature. We yield a Mixed Integer Linear Programming formulation and some valid inequalities to speed up its solution through a state-of-the art solver (CPLEX). We test our approach on verisimilar instances built on the Milan road network.
Procedia - Social and Behavioral Sciences, 2014
Traditional car-sharing services are based on the two-way scheme, where the user picks up and ret... more Traditional car-sharing services are based on the two-way scheme, where the user picks up and returns the vehicle at the same parking station. Some services allow also one-way trips, where the user can return the vehicle in another station. The one-way scheme is more attractive for the users, but may pose a problem for the distribution of the vehicles, due to a possible unbalancing between the user demand and the availability of vehicles or free slots at the stations. Such a problem is more complicated in the case of electric car sharing, where the travel range depends on the level of charge of the vehicles. In a previous work, we introduced a new approach to relocate the vehicles where cars are moved by personnel of the service operator to keep the system balanced. Such relocation method generates a new challenging pickup and delivery problem that we call the Electric Vehicle Relocation Problem (EVRP). In this work we focus on a method to forecast the unbalancing of a car-sharing system. We apply such method to the data yielded by the Milan transport agency taking into account the location and capacity of the present charging stations in Milan. In this way, using a Mixed Integer Linear Programming formulation of EVRP, we can estimate the advantages of our relocation approach on verisimilar instances.
Proceedings of Ewgt 2012 - 15th Meeting of the Euro Working Group on Transportation, 2012
ABSTRACT We propose a new stochastic traffic flow model for highways (freeways), which is a hybri... more ABSTRACT We propose a new stochastic traffic flow model for highways (freeways), which is a hybrid between the classical cellular automata and the other microscopic traffic models, using continuous cellular automata. We combine the computational efficiency of cellular automata models with the accuracy of the microscopic models by introducing continuity in space. This continuity allows us to embed a multi-agent system based on fuzzy reasoning to simulate different driver-vehicle behaviours. The experimental results show that our model is able to reproduce the typical traffic flow phenomena with a variety of effects due to the heterogeneity within traffic stream.
Procedia - Social and Behavioral Sciences, 2012
IEEE Forum on Integrated and Sustainable Transportation System, 2011
Research funding and innovation processes are key instruments to reduce greenhouse gas (GHG) emis... more Research funding and innovation processes are key instruments to reduce greenhouse gas (GHG) emissions from transport. This paper presents a contribution to the development of a European strategy on climate-friendly transport research funding. A Strategic Research Agenda (SRA) was set up, in order to define research priorities, develop future roadmaps, and suggest targets that can be actually achieved in the
Cologne Twente Workshop on Graphs and Combinatorical Optimization, 2009