Impact assessments of intelligent transport system performance in a freight transport corridor
Impact assessments of intelligent transport system performance in a freight transport corridor
- New search for: Mbiydzenyuy, Gideon
- New search for: Mbiydzenyuy, Gideon
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.
Document information
Impact assessments of intelligent transport system performance in a freight transport corridor
IET Intelligent Transport Systems ; 12 , 9 ; 1071-1081
2018-09-14
11 pages
Article (Journal)
Electronic Resource
English
shipment mobility , transport management , KPI , intelligent transport system performance , capacity utilisation , transit traffic , road network , urban gateway , corridor section traffic management , transport network infrastructure , ITS measures , traffic data , road traffic , multiple traffic engineering goals , freight handling , multicriteria decision analysis framework , people mobility , Gothenburg Region , socio-economic impacts , intelligent transportation systems , freight transport , socio-economic effects , key performance indicators , flow management , traffic engineering computing , impact assessments , production engineering computing
Metadata by IET is licensed under CC BY 3.0
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