MobiS - Personalized Mobility Services for energy efficiency and security through advanced Artificial Intelligence techniques

被引:4
作者
Costa, Ruben [1 ]
Figueiras, Paulo [1 ]
Malo, Pedro [1 ]
Jermol, Mitja [2 ]
Kalaboukas, Kostas [3 ]
机构
[1] Univ Nova Lisboa, FCT, Uninova, CTS,Dept Enga Electrotecn, P-2829516 Caparica, Portugal
[2] Jozef Stefan Inst, Ljubljana, Slovenia
[3] SingularLogic, Athens, Greece
来源
INTELLIGENT DECISION TECHNOLOGIES | 2013年 / 255卷
关键词
Energy efficient mobility; reasoning services; multi-criteria decision; artificial intelligence; federated platform implementation;
D O I
10.3233/978-1-61499-264-6-296
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
MobiS is a European research project funded under the FP7 work programme. The main goal of MobiS is to create a new concept and solution of a federated, customized and intelligent mobility platform by applying novel Future Internet technologies and Artificial Intelligence methods that will monitor, model and manage the urban mobility complex network of people, objects, natural, social and business environment in real-time. MobiS intelligence is based on the symbiotic relation between these stakeholders, innovative prediction and reasoning methods that are using learned multi-criteria function to provide more efficient, energy-aware and environmental friendly citizen mobility. MobiS will be able to combine novel artificial intelligence services and traditional information platform services coming from the following sources: a) existing transport private or public service providers, b) ambient data, based on sensor infrastructures and c) social networking data. To achieve these challenging objectives, the project will develop prediction/planning/reasoning services, multi-criteria decision functions and, federated mobility-based services that correspond to the above mentioned information sources. Solutions will be tested in three pilots: 1) An inter-city mobility scenario in Sweden (Stockholm-Hudiksvall-Sundsvall), where an existing crowdsourcing application will be used, 2) an intra-city scenario in Greece (Thessaloniki) combining a traffic information system and the crowdsourcing application and, 3) a country-wide (inter-city) mobility scenario in Slovenia with a social media application, and selected traffic information system already operated in various parts of the country and in the main cities.
引用
收藏
页码:296 / 306
页数:11
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