MODUM

Models for Optimising Dynamic Urban Mobility

 Coordinatore TRANSPORT & MOBILITY LEUVEN NV 

 Organization address address: Diestsesteenweg 57
city: Kessel-Lo
postcode: 3010

contact info
Titolo: Ms.
Nome: Griet
Cognome: De Ceuster
Email: send email
Telefono: +32 16 317730
Fax: +32 16 317739

 Nazionalità Coordinatore Belgium [BE]
 Totale costo 3˙106˙267 €
 EC contributo 2˙350˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-7
 Funding Scheme CP
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-10-01   -   2014-09-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TRANSPORT & MOBILITY LEUVEN NV

 Organization address address: Diestsesteenweg 57
city: Kessel-Lo
postcode: 3010

contact info
Titolo: Ms.
Nome: Griet
Cognome: De Ceuster
Email: send email
Telefono: +32 16 317730
Fax: +32 16 317739

BE (Kessel-Lo) coordinator 0.00
2    FORSCHUNGSGESELLSCHAFT MOBILITAET - Austrian Mobility Research FGM - AMOR Gemeinnutzige GMBH

 Organization address address: Schoenaugasse
city: GRAZ
postcode: 8010

contact info
Titolo: Mr.
Nome: Pfeiffer
Cognome: Gerald
Email: send email
Telefono: +43 316 81 04 51 22
Fax: +43 316 81 04 51 75

AT (GRAZ) participant 0.00
3    KATHOLIEKE UNIVERSITEIT LEUVEN

 Organization address address: Oude Markt
city: LEUVEN
postcode: 3000

contact info
Titolo: Ms.
Nome: Monique
Cognome: Vanhaeren
Email: send email
Telefono: +32 16 32 95 61
Fax: +32 16 32 95 61

BE (LEUVEN) participant 0.00
4    MIKROPROCESORNI USTROISTVA I SISTEMI ZA TRANSPORTA

 Organization address address: UL. ROSARIO 2 VH B ET 2 OFIS
city: SOFIA
postcode: 1700

contact info
Titolo: Mr.
Nome: Tsetso
Cognome: Lukarski
Email: send email
Telefono: 35928687053
Fax: 35928687023

BG (SOFIA) participant 0.00
5    Nottingham City Council

 Organization address address: the guildhall-burton street
city: NOTTINGHAM
postcode: NG1 4BT

contact info
Titolo: Mr.
Nome: Sunil
Cognome: Budhdeo
Email: send email
Telefono: 441159000000

UK (NOTTINGHAM) participant 0.00
6    TECHNOLUTION B.V.

 Organization address address: ZUIDELIJK HALFROND
city: GOUDA
postcode: 2801 DD

contact info
Titolo: Dr.
Nome: Dave
Cognome: Marples
Email: send email
Telefono: +31 182 59 40 00
Fax: +31 182 53 97 36

NL (GOUDA) participant 0.00
7    THE NOTTINGHAM TRENT UNIVERSITY

 Organization address address: BURTON STREET
city: NOTTINGHAM
postcode: NG1 4BU

contact info
Titolo: Mr.
Nome: Evtim
Cognome: Peytchev
Email: send email
Telefono: 441158000000
Fax: 441158000000

UK (NOTTINGHAM) participant 0.00
8    THE UNIVERSITY OF MANCHESTER

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Ms.
Nome: Liz
Cognome: Fay
Email: send email
Telefono: 441613000000

UK (MANCHESTER) participant 0.00
9    TSENTAR ZA GRADSKA MOBILNOST EAD

 Organization address address: Kniaginia Maria Luiza Blvd.
city: Sofia
postcode: 1202

contact info
Titolo: Mr.
Nome: Nikolay
Cognome: Kostov
Email: send email
Telefono: 35929236226
Fax: 35929314142

BG (Sofia) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

centres    metrics    transport    traffic    urban    congestion    modum    infrastructure    cities    feeds    agent    scenarios    prototype    complexity    energy    environmental    data    dynamic    unexpected    active    life    experiments    vehicles    nnthe    environments    then    synthesis    city    disturbances    realistic    time    demand    emissions    quality    efficient    real   

 Obiettivo del progetto (Objective)

Transport congestion problems contribute ~70% of pollutants to urban environments. The transport sector by itself consumes up to ~30% of the total energy in the EU. These figures suggest that if Europe is to reduce its CO2 emissions by making an efficient use of energy while improving the quality of life in European cities, novel approaches for the optimal management of urban transport complexity must be developed and adopted in the transport sector.nnMODUM addresses the environmental footprint in the transport sector by aiming to develop a new approach for pro-active demand-responsive management of traffic to enable energy-efficient multi-modal transport choices accommodating dynamic variations, minimising the environmental impact and improving the quality of life in urban environments. Moreover, MODUM will consider commuters, in combinations of both private and public transport, facing dynamic conditions such as unexpected disturbances typical of urban environments.nnIn particular, MODUM focuses on the comparison and then the potential synthesis of two approaches: 1) a traffic flow self-organising mechanism based on ant-like agent technology and 2) a 'reverse' route planning based on software agent technology; using real-time data and declared destinations. Both mechanisms have proven successful in other application domains and have the potential of utilising vehicles' computational power and networking capabilities for achieving their active participation in the demand-response management of urban traffic.nnThe metrics for the comparison will be extracted from real needs of traffic control centres and from transport users in our selected cities. Once the metrics are defined, a series of simulation experiments of realistic complexity will be constructed using real-time data feeds available from transport sensing infrastructure. Results from these will profile the two approaches against certain scenarios of traffic disturbances causing rapid changes in conditions. A synthesis of the two approaches will then be developed by the academic partners.nnSoftware implementation of the synthesised approach will then be embarked upon, focusing on the telecommunication challenges of a realistic demonstrator. The developed prototype will be validated on the initial scenarios by staging real-life experiments, which the relevant traffic management structures within the traffic control centres will evaluate. Such experiments will include historical data and simulations in combination with real-time data feeds from existing infrastructure and vehicles going through a section of a city in a number of congestion profiles. Analogous experiments will include people moving in a city by different means of transport.nnThe prototype will provide an implementation of an optimisation approach to traffic management capable of dynamically adapting the overall flows of traffic to unexpected disturbances to minimise carbon emissions within an urban complex environment. Fina

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