International audienceWe study an optimal control problem for traffic regulation via variable speed limit. The traffic flow dynamics is described with the Lighthill-Whitham-Richards (LWR) model with Newell-Daganzo flux function. We aim at minimizing the L 2 quadratic error to a desired outflow, given an inflow on a single road. We first provide existence of a minimizer and compute analytically the cost functional variations due to needle-like variation in the control policy. Then, we compare three strategies: instantaneous policy; random exploration of control space; steepest descent using numerical expression of gradient. We show that the gradient technique is able to achieve a cost within 10% of random exploration minimum with better comp...
International audienceAutonomous vehicles (AVs) allow new ways of regulating the traffic flow on roa...
The research leading to these results has received funding from the European Research Council under ...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...
International audienceWe study an optimal control problem for traffic regulation via variable speed ...
International audienceThe control of traffic flow can be related to different applications. In this ...
International audienceIn this paper we propose a variable speed control strategy based on a new Vari...
International audienceThis article is motivated by the practical problem of controlling traffic flow...
International audienceThe problem of improving traffic sustainability and traffic efficiency in an u...
International audienceThe evaluation of the benefits of an Eco-Driving assistance system is carried ...
International audienceSeveral realistic situations in vehicular traffic that give rise to queues can...
Summarization: Recent research has proposed mainstream traffic flow control (MTFC), enabled via vari...
Summarization: The impact of variable speed limits (VSL) on aggregate traffic flow behaviour on moto...
The discharging flow-rate of a lane-drop bottleneck can drop when its upstream is congested, and suc...
Summarization: Mainstream Traffic Flow Control (MTFC), enabled via variable speed limits, is a contr...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
International audienceAutonomous vehicles (AVs) allow new ways of regulating the traffic flow on roa...
The research leading to these results has received funding from the European Research Council under ...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...
International audienceWe study an optimal control problem for traffic regulation via variable speed ...
International audienceThe control of traffic flow can be related to different applications. In this ...
International audienceIn this paper we propose a variable speed control strategy based on a new Vari...
International audienceThis article is motivated by the practical problem of controlling traffic flow...
International audienceThe problem of improving traffic sustainability and traffic efficiency in an u...
International audienceThe evaluation of the benefits of an Eco-Driving assistance system is carried ...
International audienceSeveral realistic situations in vehicular traffic that give rise to queues can...
Summarization: Recent research has proposed mainstream traffic flow control (MTFC), enabled via vari...
Summarization: The impact of variable speed limits (VSL) on aggregate traffic flow behaviour on moto...
The discharging flow-rate of a lane-drop bottleneck can drop when its upstream is congested, and suc...
Summarization: Mainstream Traffic Flow Control (MTFC), enabled via variable speed limits, is a contr...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
International audienceAutonomous vehicles (AVs) allow new ways of regulating the traffic flow on roa...
The research leading to these results has received funding from the European Research Council under ...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...