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MAGnUMplus

Financiado

Optimal urban traffic routing by broadcasting avoidance maps

The PoC aims to develop a prototype for an optimal route guidance system that improves traffic conditions in urban areas. Urban traffic management at large-scale is very challenging but may lead to significant travel time savings... ver más

31/05/2022

UNIVERSITE GUSTAVE...

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

UNIVERSITE GUSTAVE EIFFEL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-05-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2020-POC: Call for proposals for ERC Proof of Concept Grant

I+D

Cerrada hace 4 años

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2 Participantes

UNIVERSITE GUSTAVE EIFFEL

150.00K€ | Lider

INGENIERIA DE INSTRUMENTACIO...

701.22K€ | Participante

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27-11-2024: Videojuegos y creaci... Se abre la línea de ayuda pública: Ayudas para la promoción del sector del videojuego, del pódcast y otras formas de creación digital

27-11-2024: DGIPYME En las últimas 48 horas el Organismo DGIPYME ha otorgado 1 concesiones

27-11-2024: FUNDACION-EOI En las últimas 48 horas el Organismo FUNDACION EOI ha otorgado 2 concesiones

Duración del proyecto: 18 meses Fecha Inicio: 2020-11-20
Fecha Fin: 2022-05-31

Líder del proyecto

UNIVERSITE GUSTAVE EIFFEL

TRL 4-5

Presupuesto del proyecto 150K€

Descripción del proyecto The PoC aims to develop a prototype for an optimal route guidance system that improves traffic conditions in urban areas. Urban traffic management at large-scale is very challenging but may lead to significant travel time savings by better-distributing drivers among the network. Existing navigation apps or routing systems provide the shortest-path in time to users resulting in the network user equilibrium. However, traffic engineers know that total travel times may be reduced by 10 to 30% if user routes comply with the system optimum. There is no actual traffic management system that can achieve such a goal because of computational (determining the optimal route for all current users in NP-hard), privacy (optimality requires that all users share their destination with a centralized controller) and compliance issues (users may not follow routing instructions). The optimal route guidance system we have designed within the MAGnUM project can quickly solve the two first issues. A centralized controller produces real-time avoidance maps, i.e., the definition of how many users should avoid each subsection of the road network to alleviate congestion in this area. Such maps are derived by monitoring of overall traffic conditions. Each user transforms this information into individual route guidance through its navigation system. This privacy is guaranteed by design as the users share no information with the controller but only take benefit from avoidance maps. The PoC will not only develop the prototype but also implement the system in the field to run experiments over three months. The experiments aim to (i) test the proper system functioning, (ii) derive optimal controller settings in particular concerning the network partitioning, and (iii) investigate users’ reactions to the guidance and determine the natural compliance rate. All the studies will permit us to assess the potential of the full system better and prepare the next steps before introduction to the market.

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