Abstract
This paper addresses quantitative methods for estimating the value of information from ITS in urban freight distribution. A real-life application on the retail distribution of perishable goods is considered. The problem is formulated as a vehicle routing problem with soft time windows and time-dependent travel times, and solved by using information affected by different degrees of detail and reliability. The practical performance of these solutions is then evaluated by simulation, to assess the joint benefit of using more reliable and detailed information with different solution algorithms.
Highlights
The increase of congestion in transport system requires innovative approaches to face the need for sustainable mobility
In this paper we focus on the best use of Intelligent Transportation Systems (ITS) information for the distribution of goods from an intermodal terminal to the retailers located in an urban area
This paper addresses quantitative methods for estimating the value of information from ITS in urban freight distribution
Summary
The increase of congestion in transport system requires innovative approaches to face the need for sustainable mobility. In this context, limiting the impact of freight transport on road congestion is important. The rationalization of the freight flows in the urban areas is necessary and this need is addressed by City Logistics [2, 3]. One of the basic concepts of city logistics is the use of intermodal terminals. Goods incoming from different transport modes (rail, maritime, large trucks) are stored and small vehicles are used for the distribution of freights towards the urban area. Terminals are often located in the city neighborhoods, as near as possible to the city center to reduce the distances for truck collection and distribution [4]
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