Abstract
SUMMARY - ROADIDEA project (www.roadidea.eu) studies the
innovations potential of the European ITS sector by
analysing available data sources, revealing existing
problems and bottlenecks for data utilisation and service
build-up. ROADIDEA also attempts to develop better
methods and models to be utilised within different
service platforms. Road transport is the main focus of
research, but co- and multimodality and other forms of
transport will be considered too. As a final outcome, a
road map to more innovative and competitive European ITS
services is introduced. The research and innovation work
is organised into three main layers: information
infrastructure, innovation, and exploitation layers. In
two consecutive cycles, the project innovates in a
systematic manner new service concepts and improvements
to existing systems and models for engineering, transport
management and road user services. Awareness of new kinds
of data and data fusion techniques are recognised as
enablers for these improvements and innovations. This
paper describes the innovation cycles, the pilot
evaluation and assesses some first experiences and their
results.
Original language | English |
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Title of host publication | Proceedings |
Subtitle of host publication | 15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting |
Place of Publication | New York |
Publisher | Intelligent Transportation Society of America - ITS America |
Number of pages | 11 |
Publication status | Published - 2008 |
MoE publication type | B3 Non-refereed article in conference proceedings |
Event | 15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting - New York, United States Duration: 16 Nov 2008 → 20 Nov 2008 |
Conference
Conference | 15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting |
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Country/Territory | United States |
City | New York |
Period | 16/11/08 → 20/11/08 |
Keywords
- Mobility services
- transport information
- road conditions
- weather
- data mining
- data fusion
- innovation
- evaluation