Abstract
basis of existing ITS evaluations studies and the available assessment expertise in the specific user contexts.
| Original language | English |
|---|---|
| Pages (from-to) | 275-282 |
| Journal | IET Intelligent Transport Systems |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | A1 Journal article-refereed |
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How to infer impacts of ITS services in different user cases. / Kulmala, R.; Mans, D.; El-Araby, K.; Penttinen, Merja (Corresponding Author).
In: IET Intelligent Transport Systems, Vol. 7, No. 3, 2013, p. 275-282.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - How to infer impacts of ITS services in different user cases
AU - Kulmala, R.
AU - Mans, D.
AU - El-Araby, K.
AU - Penttinen, Merja
PY - 2013
Y1 - 2013
N2 - Despite the widely acknowledged potential of intelligent transport systems and services (ITS), the deployment of ITS has generally been scattered and slow. One of the main reasons for this is that people deciding on investments in the road and public transport sector often lack knowledge of the feasibility, cost-effectiveness, impacts and user acceptance of ITS solutions to their own transport related problems. One solution is to build up an intelligent ITS toolkit, which would propose to the decision maker the most viable ITS solutions in relation to his problems in his context. The study describes how such a toolkit has been designed and developed, including the knowledge base and inference engine providing the intelligence to that toolkit. The study is focusing on how to infer the most likely impacts and benefit/cost matching the user input on thebasis of existing ITS evaluations studies and the available assessment expertise in the specific user contexts.
AB - Despite the widely acknowledged potential of intelligent transport systems and services (ITS), the deployment of ITS has generally been scattered and slow. One of the main reasons for this is that people deciding on investments in the road and public transport sector often lack knowledge of the feasibility, cost-effectiveness, impacts and user acceptance of ITS solutions to their own transport related problems. One solution is to build up an intelligent ITS toolkit, which would propose to the decision maker the most viable ITS solutions in relation to his problems in his context. The study describes how such a toolkit has been designed and developed, including the knowledge base and inference engine providing the intelligence to that toolkit. The study is focusing on how to infer the most likely impacts and benefit/cost matching the user input on thebasis of existing ITS evaluations studies and the available assessment expertise in the specific user contexts.
U2 - 10.1049/iet-its.2012.0040
DO - 10.1049/iet-its.2012.0040
M3 - Article
VL - 7
SP - 275
EP - 282
JO - IET Intelligent Transport Systems
JF - IET Intelligent Transport Systems
SN - 1751-956X
IS - 3
ER -