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SETA SIGNED

SETA: An open, sustainable, ubiquitous data and service ecosystem for efficient, effective, safe, resilient mobility in metropolitan areas

Total Cost €

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EC-Contrib. €

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Partnership

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 SETA project word cloud

Explore the words cloud of the SETA project. It provides you a very rough idea of what is the project "SETA" about.

connected    alone    metropolitan    dynamicity    2050    huge    transport    media    billion    multiple    link    75    financial    million    optimise    dimensional    wasted    heterogeneous    cars    sectorial    plan    uk    business    vehicles    fuel    methodology    cities    583    people    monitored    inefficiency    ups    sustainable    describes    50    population    rigorously    mobility    models    enormous    understand    freight    global    health    pervasive    grow    managed    sensors    collect    environment    efficient    annually    seta    city    congestion    cameras    citizens    technologies    solution    economy    model    thousands    wealth    basis    resilient    cross    around    5bn    services    precision    lives    traffic    impossible    fuse    thought    area    attributes    generates    decision    safe    social    granularity    volume    co2    properly    ecosystem    commercialisation    data    velocity    mobile    modalities    everyday    amounts    makers    pollution    urban    millions    hold   

Project "SETA" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF SHEFFIELD 

Organization address
address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN
website: www.shef.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
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

Map

 Project objective

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.

 Deliverables

List of deliverables.
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.

 Publications

year authors and title journal last update
List of publications.
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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