Opendata, web and dolomites

Jam

Enhancing fuel efficiency and reducing vehicle maintenance and downtime costs, using real-time data from vehicle sensors (IoT) and a machine learning algorithm for big data analysis.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 Jam project word cloud

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

solutions    efficient    data    poland    protocols    subscribers    repairs    single    heavy    operate    constant    uk    ghg    hours    markets    117    spain    iot    road    passenger    2020    off    operators    software    day    mining    historical    fuel    details    france    euros    duty    vehicles    operation    hundreds    vor    optimizing    constitute    brings    frost    parts    vehicle    billion    surpassed    efficiency    2011    barrier    regulations    algorithm    medium    scheduled    time    machine    solution    save    sensor    companies    32    troubleshooting    reducing    represented    germany    amount    thousands    starting    interfaces    predicting    industry    competitive    physical    driving    trucks    portugal    environmental    light    prevention    hardware    business    compliance    designed    events    advantages    ecu    2019    obd    agriculture    critical    money    total    labour    emissions    put    global    industrial    fleets    innovative    italy    sullivan    compares    interpretation    biggest    fleet    learning    jam    dollar    businesses    million    maintenance    agnostic    differences    eco    market   

Project "Jam" data sheet

The following table provides information about the project.

Coordinator
STRA, SA 

Organization address
address: INSTITUTO PEDRO NUNES, RUA PEDRO NUNES QUINTA DA NORA, ED.D
city: COIMBRA
postcode: 3030 199
website: n.a.

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 Portugal [PT]
 Project website http://stratio.pt/jam/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2015
 Funding Scheme SME-1
 Starting year 2016
 Duration (year-month-day) from 2016-02-01   to  2016-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STRA, SA PT (COIMBRA) coordinator 50˙000.00

Map

 Project objective

Jam is an IoT solution (hardware & software), aiming to improve the efficiency of businesses operating medium/heavy-duty vehicle (e.g. passenger and distribution fleets) and industrial fleets (e.g. mining trucks and agriculture vehicles), targeting key needs: - Fuel efficiency: fuel represented, in 2011, 32% of the total cost of fleet operation - Compliance with environmental regulations and reduction of GHG emissions - Vehicle off-road (VOR) time and maintenance costs: Many operators put the cost of having a single VOR as being in the hundreds, if not thousands, euros/day

According to Frost & Sullivan, the OBD market is expected to reach 117.8 million subscribers in 2019 and to become a billion-dollar industry by 2020. Although there are already solutions on the market for ECU interpretation on light-duty vehicles, the amount of new protocols, physical interfaces and differences in details in the way industrial vehicles operate constitute a barrier, not yet surpassed. Business and industrial fleets need an agnostic solution that allows optimizing the fleet management by reducing the maintenance costs and VOR time. Jam brings an innovative approach and focus on prevention and constant analysis of real-time vehicle data through a machine-learning algorithm allowing companies to save money on fuel costs, vehicle parts and hours of labour due to a more efficient management of fleet resources.

Competitive advantages: - Designed for medium/heavy-duty and industrial vehicles - Agnostic system - Machine-learning algorithm that compares the ECU sensor data with historical data, predicting critical events - New eco-driving approach - Troubleshooting and scheduled repairs approach focused on prevention and constant analysis of real-time vehicle data The solution will be implemented at a global scale, starting in European markets: Portugal for early market uptake and testing; and then the biggest EU markets (Germany, UK, France, Poland, Italy and Spain).

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "JAM" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "JAM" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.4.;H2020-EU.2.3.1.)

AST-FCS_vF (2014)

ADAPTIVE SELF-TUNING FLIGHT CONTROL SYSTEM COMPLETE AND QUALIFIED

Read More  

LIFE-BATTERY (2015)

Long lifespan battery for hybrid vehicles

Read More  

GT WHR system (2015)

Green Turbine WHR System

Read More