Explore the words cloud of the SETA project. It provides you a very rough idea of what is the project "SETA" about.
The following table provides information about the project.
Coordinator |
THE UNIVERSITY OF SHEFFIELD
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://setamobility.eu/ |
Total cost | 5˙565˙247 € |
EC max contribution | 5˙565˙247 € (100%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-ICT-2015 |
Funding Scheme | RIA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-02-01 to 2019-01-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | THE UNIVERSITY OF SHEFFIELD | UK (SHEFFIELD) | coordinator | 1˙286˙000.00 |
2 | AILLERON SA | PL (KRAKOW) | participant | 756˙375.00 |
3 | TECHNISCHE UNIVERSITEIT DELFT | NL (DELFT) | participant | 401˙375.00 |
4 | AIMSUN SLU | ES (BARCELONA) | participant | 400˙960.00 |
5 | THE FLOOW LIMITED | UK (SHEFFIELD) | participant | 353˙750.00 |
6 | UNIVERSIDAD DE CANTABRIA | ES (SANTANDER) | participant | 350˙625.00 |
7 | AIZOON CONSULTING SRL | IT (TORINO) | participant | 346˙187.00 |
8 | KNOWLEDGE NOW LIMITED | UK (SHEFFIELD) | participant | 329˙937.00 |
9 | SCYFER BV | NL (AMSTERDAM) | participant | 308˙757.00 |
10 | AYUNTAMIENTO DE SANTANDER | ES (SANTANDER) | participant | 250˙037.00 |
11 | COMUNE DI TORINO | IT (TORINO) | participant | 220˙000.00 |
12 | BIRMINGHAM CITY COUNCIL | UK (BIRMINGHAM) | participant | 200˙000.00 |
13 | SHEFFIELD HALLAM UNIVERSITY | UK (SHEFFIELD) | participant | 200˙000.00 |
14 | MACHINE2LEARN BV | NL (AMSTERDAM) | participant | 161˙241.00 |
15 | SOFTWARE MIND SA | PL (KRAKOW) | participant | 0.00 |
Around 50% of the global population lives in metropolitan areas, and this is expected to grow to 75% by 2050. Mobility within these areas is complex as it involves multiple modalities of transport, multiple managing authorities, as well as several millions of citizens. The cost of inefficiency in transport and mobility are enormous. For example, inefficiency costs the UK economy €5.8 billion each year. €583 million is wasted on fuel (e.g. traffic congestion) alone each year, which attributes to increased urban pollution and CO2. Hold-ups to business or freight vehicles amounts to €1.5bn annually. Mobility generates huge amounts of data thought thousands of sensors, city cameras, and connected cars, as well as millions of citizens connected through their mobile devices. If properly managed, this data can be used to understand, optimise and manage mobility and make it more efficient, sustainable and resilient. SETA will address this challenge, creating a technology and methodology able to use this wealth of data to change the way mobility is organised, monitored and planned in large metropolitan areas. The solution will be able to collect, process, link and fuse high-volume, high-velocity, multi-dimensional, heterogeneous, cross-media, cross-sectorial data and to use it to model mobility with a precision, granularity and dynamicity that is impossible with today’s technologies. Such models will be the basis of pervasive services to citizens and business, as well as decision makers to support safe, sustainable, effective, efficient and resilient mobility. The project has the potential to impact the everyday lives of millions of people, their health and the environment with enormous financial and social impact. SETA’s solution will be evaluated rigorously by citizens, business and decision makers in 3 cities across Europe. The proposal includes a commercialisation plan and describes the economy of managing the SETA ecosystem in a metropolitan area.
Final Evaluation of decision support system | Documents, reports | 2019-07-22 09:11:46 |
Case Study Design and Development V2 (TOR) | Demonstrators, pilots, prototypes | 2019-07-22 09:11:46 |
Solution Build-Up Best Project Documentation | Documents, reports | 2019-07-22 09:11:45 |
Case Study Design and Development V2 (STA) | Demonstrators, pilots, prototypes | 2019-07-22 09:11:46 |
Final methodologies and tools for Visual Analytics and Decision Support system | Demonstrators, pilots, prototypes | 2019-07-22 09:11:45 |
Final evaluation of predictors for smart mobility | Documents, reports | 2019-07-22 09:11:45 |
Case Study Design and Development V2 (BIR) | Demonstrators, pilots, prototypes | 2019-07-22 09:11:46 |
Real-time simulation models for smart mobility | Demonstrators, pilots, prototypes | 2019-07-22 09:11:46 |
Final development of demand and supply predictors | Demonstrators, pilots, prototypes | 2019-07-22 09:11:45 |
Final evaluation report for Data Management Platform including PIA | Documents, reports | 2019-07-22 09:11:45 |
Project GO-TO-Market Results | Documents, reports | 2019-07-22 09:11:45 |
Take up monitoring 1 | Documents, reports | 2019-07-22 09:11:46 |
Final modelling of non-vehicular transport | Demonstrators, pilots, prototypes | 2019-07-22 09:11:45 |
Take up monitoring 2 | Documents, reports | 2019-07-22 09:11:46 |
Case Study Design and Development V1 (TOR) | Demonstrators, pilots, prototypes | 2019-07-22 09:11:44 |
Progress Monitoring and Quality Management Plan | Documents, reports | 2019-07-22 09:11:44 |
Initial evaluation of predictors for smart mobility | Documents, reports | 2019-07-22 09:11:44 |
Initial methodologies and tools for Visual Analytics and Decision Support system | Demonstrators, pilots, prototypes | 2019-07-22 09:11:44 |
Risk Management Plan | Documents, reports | 2019-07-22 09:11:44 |
Security requirements for the SETA technology | Documents, reports | 2019-07-22 09:11:44 |
Mid-term evaluation report for Data Management Platform including PIA | Documents, reports | 2019-07-22 09:11:44 |
First evaluation of Visual Analytics and Decision Support system | Documents, reports | 2019-07-22 09:11:44 |
Initial development of demand and supply predictors | Demonstrators, pilots, prototypes | 2019-07-22 09:11:44 |
Initial modelling of non-vehicular transport | Demonstrators, pilots, prototypes | 2019-07-22 09:11:44 |
Case Study Design and Development V1 (BIR) | Demonstrators, pilots, prototypes | 2019-07-22 09:11:44 |
Use Case Requirement Analysis | Documents, reports | 2019-07-22 09:11:43 |
Exploring prediction perspectives | Documents, reports | 2019-07-22 09:11:44 |
Case Study Design and Development V1 (STA) | Demonstrators, pilots, prototypes | 2019-07-22 09:11:44 |
Preliminary requirements for Visual Analytics, Data exploration and Decision Support system | Documents, reports | 2019-07-22 09:11:44 |
Take a look to the deliverables list in detail: detailed list of SETA deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2016 |
Mazumdar, Suvodeep; Zhang, Ziqi A tool for creating and visualizing semantic annotations on relational tables published pages: 2-10, ISSN: , DOI: |
LD4IE 2016 : Linked data for information extraction : Proceedings of the Fourth International Workshop on Linked Data for Information Extraction co-located with 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 18, 2016. Vol 1699 | 2019-07-22 |
2017 |
Panchamy Krishnakumari, Tin Nguyen, Léonie Heydenrijk-Ottens, Hai L. Vu, Hans van Lint Traffic Congestion Pattern Classification Using Multiclass Active Shape Models published pages: 94-103, ISSN: 0361-1981, DOI: 10.3141/2645-11 |
Transportation Research Record: Journal of the Transportation Research Board 2645/1 | 2019-07-22 |
2017 |
Clélia Lopez, Panchamy Krishnakumari, Ludovic Leclercq, Nicolas Chiabaut, Hans van Lint Spatiotemporal Partitioning of Transportation Network Using Travel Time Data published pages: 98-107, ISSN: 0361-1981, DOI: 10.3141/2623-11 |
Transportation Research Record: Journal of the Transportation Research Board 2623/1 | 2019-07-22 |
2017 |
Clélia Lopez, Ludovic Leclercq, Panchamy Krishnakumari, Nicolas Chiabaut, Hans van Lint Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-14237-8 |
Scientific Reports 7/1 | 2019-07-22 |
2018 |
Wang P., Kim Y., Vaci L., Yang H. and Mihaylova L., Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data published pages: , ISSN: , DOI: |
In Proceedings of the International Symposium on Sensor Data Fusion: Trends, Solutions and Applications | 2019-07-22 |
2019 |
W. Aftab, R. Hostetler, A. de Freitas, M. Arvaneh, L. Mihaylova Spatio-temporal Gaussian Process Models for Extended and Group Object Tracking published pages: , ISSN: , DOI: |
IEEE Transactions on Vehicular Technology, 2018 | 2019-07-22 |
2018 |
Kim Y., Wang P., Zhu Y., and Mihaylova L. A Capsule Network for Traffic Speed Prediction in Complex Road Networks published pages: , ISSN: , DOI: |
In Proceedings of the International Symposium on Sensor Data Fusion: Trends, Solutions and Applications | 2019-07-22 |
2018 |
Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Marek Schikora, Martin Ulmke, Donka Angelova, Wolfgang Koch A Box Particle Filter Method for Tracking Multiple Extended Objects published pages: 1-1, ISSN: 0018-9251, DOI: 10.1109/TAES.2018.2874147 |
IEEE Transactions on Aerospace and Electronic Systems | 2019-07-22 |
2019 |
Hayder M. Amer, Hayder Al-Kashoash, Matthew Hawes, Moumena Chaqfeh, Andrew Kemp, Lyudmila Mihaylova Centralized simulated annealing for alleviating vehicular congestion in smart cities published pages: 235-248, ISSN: 0040-1625, DOI: 10.1016/j.techfore.2018.09.013 |
Technological Forecasting and Social Change 142 | 2019-07-22 |
2018 |
L. Mihaylova, W. Aftab Recent Advances in Groups and Extended Object Tracking published pages: , ISSN: , DOI: |
Proceedings from the NATO SET 262 | 2019-07-22 |
2017 |
Mazumdar, Suvodeep; Ciravegna, Fabio; Ireson, Neil; Read, Jennifer; Simpson, Emma; Cudd, Peter Access visits using video communication published pages: 102-110, ISSN: , DOI: 10.3233/978-1-61499-798-6-102 |
9781614997979 1 | 2019-07-22 |
2017 |
Tamara Djukic, Martijn Breen, David Masip, Josep Perarnau, Joseph Budin, Jordi Casas Marginal effects evaluation with respect to changes in OD demand for dynamic OD demand estimation published pages: 1-11, ISSN: , DOI: |
Proceedings of mobil.TUM 2017 conference on Intelligent Transport Systems in Theory and Practice | 2019-07-22 |
2017 |
Ding Luo, Oded Cats, Hans van Lint Constructing Transit Origin–Destination Matrices with Spatial Clustering published pages: 39-49, ISSN: 0361-1981, DOI: 10.3141/2652-05 |
Transportation Research Record: Journal of the Transportation Research Board 2652 | 2019-07-22 |
2016 |
Hawes, M.; Amer, H.M.; Mihaylova, L.S. Traffic State Estimation via a Particle Filter with Compressive Sensing and Historical Traffic Data published pages: , ISSN: , DOI: |
978-0-9964-5274-8 1 | 2019-07-22 |
2016 |
Hayder, A.; Salman, N; Hawes, M.; Chaqfeh, M.; Mihaylova, L.S.; Mayfield, M. An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities published pages: , ISSN: 1424-8220, DOI: 10.3390/s16071013 |
1424-8220 1 | 2019-07-22 |
2017 |
Suvodeep Mazumdar, Stuart Wrigley, Fabio Ciravegna Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future published pages: 87, ISSN: 2072-4292, DOI: 10.3390/rs9010087 |
Remote Sensing 9/1 | 2019-07-22 |
2017 |
R. Chen, M. Hawes, O. Isupova, L. Mihaylova and H. Zhu Online Vehicle Logo Recognition Using Cauchy Prior Logistic Regression published pages: , ISSN: , DOI: |
Proceedings of the International Conference on Information Fusion | 2019-07-22 |
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The information about "SETA" are provided by the European Opendata Portal: CORDIS opendata.