Inferring ITS impacts in different user cases

Risto Kulmala, Dick Mans, Khaled El-Araby, Merja Penttinen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

Despite the widely acknowledged potential of 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 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 the decision maker the most viable ITS solutions to his problems in his context. The paper describes how such a toolkit has been designed and developed, and the knowledge base and inference engine providing the intelligence to that toolkit. The paper is focusing on how to infer the most likely impacts and benefit/cost on the basis of existing ITS evaluations studies and the available assessment expertise in the specific user contexts
Original languageEnglish
Title of host publicationProceedings of 18th World Congress on Intelligent Transport Systems
PublisherIntelligent Transportation Society of America
Publication statusPublished - 2011
MoE publication typeB3 Non-refereed article in conference proceedings
Event18th World Congress on Intelligent Transport Systems - Orlando, United States
Duration: 16 Oct 201120 Oct 2011

Conference

Conference18th World Congress on Intelligent Transport Systems
CountryUnited States
CityOrlando
Period16/10/1120/10/11

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Inference engines
Cost effectiveness
Costs

Keywords

  • ITS-toolkit
  • impact assessment
  • intelligent transportation systems
  • feasibility
  • cost-effectiveness
  • 2DECIDE

Cite this

Kulmala, R., Mans, D., El-Araby, K., & Penttinen, M. (2011). Inferring ITS impacts in different user cases. In Proceedings of 18th World Congress on Intelligent Transport Systems Intelligent Transportation Society of America.
Kulmala, Risto ; Mans, Dick ; El-Araby, Khaled ; Penttinen, Merja. / Inferring ITS impacts in different user cases. Proceedings of 18th World Congress on Intelligent Transport Systems. Intelligent Transportation Society of America, 2011.
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Kulmala, R, Mans, D, El-Araby, K & Penttinen, M 2011, Inferring ITS impacts in different user cases. in Proceedings of 18th World Congress on Intelligent Transport Systems. Intelligent Transportation Society of America, 18th World Congress on Intelligent Transport Systems, Orlando, United States, 16/10/11.

Inferring ITS impacts in different user cases. / Kulmala, Risto; Mans, Dick; El-Araby, Khaled; Penttinen, Merja.

Proceedings of 18th World Congress on Intelligent Transport Systems. Intelligent Transportation Society of America, 2011.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

TY - GEN

T1 - Inferring ITS impacts in different user cases

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AU - Penttinen, Merja

N1 - Project code: 28895 EU_2DECIDE

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N2 - Despite the widely acknowledged potential of 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 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 the decision maker the most viable ITS solutions to his problems in his context. The paper describes how such a toolkit has been designed and developed, and the knowledge base and inference engine providing the intelligence to that toolkit. The paper is focusing on how to infer the most likely impacts and benefit/cost on the basis of existing ITS evaluations studies and the available assessment expertise in the specific user contexts

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Kulmala R, Mans D, El-Araby K, Penttinen M. Inferring ITS impacts in different user cases. In Proceedings of 18th World Congress on Intelligent Transport Systems. Intelligent Transportation Society of America. 2011