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Optimal urban traffic routing by broadcasting avoidance maps

Description du projet

Système innovant de gestion du trafic

La gestion du trafic urbain peut permettre de réaliser d’importantes économies sur le temps de trajet en fournissant des outils permettant de mieux répartir les conducteurs sur le réseau. Les applications ou les systèmes de routage existants permettent de réduire considérablement le temps de trajet, mais les ingénieurs estiment qu’une réduction supplémentaire de 10 % est parfaitement envisageable. Cependant, aucun système de gestion du trafic ne peut y parvenir pour des raisons de calcul, de confidentialité et de conformité. Le projet MAGnUMplus, financé par l’UE, va développer un prototype de guidage routier qui améliore le trafic urbain et garantit le respect de la vie privée. Le prototype s’appuie sur des cartes d’évitement en temps réel produites par un contrôleur centralisé qui reçoit des informations dérivées de la surveillance des conditions générales de circulation. Chaque utilisateur transforme les informations en un guidage routier individuel grâce à son système de navigation. Le projet entend tester le système sur le terrain.

Objectif

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.

Institution d’accueil

UNIVERSITE GUSTAVE EIFFEL
Contribution nette de l'UE
€ 150 000,00
Adresse
5 BOULEVARD DESCARTES CAMPUS DE MARNE-LA-VALLE
77454 Marne-La-Vallee
France

Voir sur la carte

Région
Ile-de-France Ile-de-France Seine-et-Marne
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
Aucune donnée

Bénéficiaires (1)