An Environmental Approach to Optimize Urban Freight Transport Systems

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An Environmental Approach to Optimize Urban Freight Transport Systems

Romero, Juan P. / Benavente, Juan / Moura, Jose L. / Ibeas, Angel / Alonso, Borja

This chapter proposes an optimization-simulation model for planning and managing an urban freight transport system, which has to serve one or more points of the network that receive and/or generate a great volume of cargo, using trucks. This type of transport has special characteristics and generates significant impacts: increased traffic congestion, due to the presence of large vehicles which take up much space and are very slow; and air pollution caused by the extra traffic volume and the extra congestion. Therefore, the purpose of the model is to minimize these negative effects on the environment and on the users of the local road network. To achieve this goal, the authors propose and solve an optimization problem to minimize the total system cost (operating costs of the suppliers, costs supported by private vehicle users and public transport users, operating costs of the public transport, etc.). The proposed optimization problem is a bi-level mathematical programming model, where the upper level defines the total cost of the system, and the lower level defines the behaviour of private and public users, assuming that each of them chooses the route that minimizes his total journey cost. Then, this model is applied to the real case in the city of Santander (Northern Spain) obtaining a series of interesting conclusions from the corresponding sensitivity analysis.

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Dokumentinformationen

Titel :

An Environmental Approach to Optimize Urban Freight Transport Systems

Weitere Titelangaben:

Advs in Intelligent Syst., Computing

Beteiligte:

de Sousa, Jorge Freire (Herausgeber:in) / Rossi, Riccardo (Herausgeber:in) / Romero, Juan P. (Autor:in) / Benavente, Juan (Autor:in) / Moura, Jose L. (Autor:in) / Ibeas, Angel (Autor:in) / Alonso, Borja (Autor:in)

Erschienen in:

Computer-based Modelling and Optimization in Transportation ; Kapitel : 10 ; 127-136

Advances in Intelligent Systems and Computing ; 262

Erscheinungsdatum :

2014-02-21

Format / Umfang :

10 pages

ISBN :

978-3-319-04630-3 , 978-3-319-04629-7

ISSN :

2194-5365 , 2194-5357

DOI :