Impact assessments of intelligent transport system performance in a freight transport corridor

Abstract

Transport network infrastructure including the use of Intelligent Transport Systems (ITS) is fundamental to the mobility of people and shipments. This study aims at understanding how different ITS measures may impact multiple traffic engineering goals with respect to a set of Key Performance Indicators (KPIs). The ordering of KPIs is determined by the preferences of the decision maker. A Multi‐Criteria Decision Analysis framework is proposed for impact assessments of ITS measures. Data about KPIs is derived with the help of traffic data gathered from the Gothenburg Region. Comparing the contributions of ITS measures to different goals suggest that the management of flow and speed in a road network is crucial for improving capacity utilisation. The goal assessments are then projected onto different use‐cases in terms of socio‐economic impacts. The result indicates that corridor section traffic management, transport management (focusing on transit traffic) and urban gate‐way will generate socio‐economic effects, respectively, in a decreasing order. Urban gateway is particularly interesting because it is the least intrusive and less costly use‐case.

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