Autonomous vehicle development is one of many trends that will affect future transport demands and planning needs. Autonomous vehicles management in the context of an intelligent transportation system could significantly reduce the traffic congestion level and decrease the overall travel time in a network. In this work, we investigate a route reservation architecture to manage road traffic within an urban area. The routing architecture decomposes road segments into time and spatial slots and for every vehicle, it makes the reservation of the appropriate slots on the road segments in the selected route. This approach allows to predict the traffic in the network and to find the shortest path more precisely. We propose to use a rerouting proce...
Road traffic congestion occurs as demand exceeds infrastructure's capacity. In this work we propose ...
Traffic congestion in big cities has been proven to be a difficult problem with adverse effects in t...
International audienceIn the context of Intelligent Transportation Systems based on driverless vehic...
Autonomous vehicle development is one of many trends that will affect future transport demands and p...
This work introduces a novel route reservation architecture to manage road traffic within an urban a...
Traffic congestion emerges when traffic load exceeds the available capacity of roads. It is challeng...
Ride-sharing, or carpooling, systems with autonomous vehicles will provide efficient and reliable ur...
Unorganized traffic is characterized by the vehicles not adhering to the marked lanes, and is a real...
In modern urban settings, automobile traffic and collisions lead to endless frustration as well as s...
Vehicle routing problem (VRP) is a generic name referring to optimization problems in transportation...
Route planning for autonomous driving is a global road planning method based on a given starting poi...
Urban traffic control becomes a major topic for urban development lately as the growing number of ve...
We present an algorithm that, given a representation of a road network in lane-level detail, compute...
Abstract—Vehicle routing problem (VRP) is a generic name referring to optimization problems in trans...
Urban traffic control becomes a major topic for urban development lately as the growing number of ve...
Road traffic congestion occurs as demand exceeds infrastructure's capacity. In this work we propose ...
Traffic congestion in big cities has been proven to be a difficult problem with adverse effects in t...
International audienceIn the context of Intelligent Transportation Systems based on driverless vehic...
Autonomous vehicle development is one of many trends that will affect future transport demands and p...
This work introduces a novel route reservation architecture to manage road traffic within an urban a...
Traffic congestion emerges when traffic load exceeds the available capacity of roads. It is challeng...
Ride-sharing, or carpooling, systems with autonomous vehicles will provide efficient and reliable ur...
Unorganized traffic is characterized by the vehicles not adhering to the marked lanes, and is a real...
In modern urban settings, automobile traffic and collisions lead to endless frustration as well as s...
Vehicle routing problem (VRP) is a generic name referring to optimization problems in transportation...
Route planning for autonomous driving is a global road planning method based on a given starting poi...
Urban traffic control becomes a major topic for urban development lately as the growing number of ve...
We present an algorithm that, given a representation of a road network in lane-level detail, compute...
Abstract—Vehicle routing problem (VRP) is a generic name referring to optimization problems in trans...
Urban traffic control becomes a major topic for urban development lately as the growing number of ve...
Road traffic congestion occurs as demand exceeds infrastructure's capacity. In this work we propose ...
Traffic congestion in big cities has been proven to be a difficult problem with adverse effects in t...
International audienceIn the context of Intelligent Transportation Systems based on driverless vehic...