ICTL 2015, 1st International conference on Transportation and Logistics, Sousse, TUNISIE, 13-/05/2015 - 14/05/2015The article presents a simulation-based model to dynamic assignment of guided vehicles over a parallel network. The simulation was constructed while following an agent based model and has been implemented on the multi-agent simulation platform JADE. The model follows an integrated assignment simulation framework which assigns guided vehicles, that communicates with a coordinator agent related to the infrastructure, on the network in order to minimize the total travel time of each vehicle while keeping the network in an equilibrated or near-equilibrated state
It had been shown previously that so-called agent-based traffic micro-simulations could be used for ...
In this paper we develop a multi-agent based traffic simulator by considering traffic flows as emerg...
International audienceWe built a multiagent simulation of urban traffic to model both ordinary traff...
AbstractTransit systems exercise complex dynamics and evolve through the interaction of various agen...
In order to respond to the variable state of traffic network in time, a distributed dynamic traffic ...
The aim of this work is to present the initial exploration of a behavioural Dynamic Traffic Assignme...
The typical method to couple activity-based demand generation (ABDG) and dynamic traffic assignment ...
A car following model for dynamic traffic simulation is applied to a bottleneck situation on a two l...
International audienceAutonomous vehicles promise an important opportunity for a complete paradigm s...
Abstract Recently, an open-source light-weight dynamic traffic assignment (DTA) package, namely DTAL...
This article is aimed at the description of traffic simulation architecture based on a multi-agent s...
International audienceIn this paper, we introduce a novel dynamic controller assignment algorithm ta...
International audienceDemand-responsive transportation systems diversify local transport supply with...
International audienceWe built a multiagent simulation of urban traffic to model both ordinary traff...
A dynamic trip assignment-simulation model for urban intermodal transportation networks is presented...
It had been shown previously that so-called agent-based traffic micro-simulations could be used for ...
In this paper we develop a multi-agent based traffic simulator by considering traffic flows as emerg...
International audienceWe built a multiagent simulation of urban traffic to model both ordinary traff...
AbstractTransit systems exercise complex dynamics and evolve through the interaction of various agen...
In order to respond to the variable state of traffic network in time, a distributed dynamic traffic ...
The aim of this work is to present the initial exploration of a behavioural Dynamic Traffic Assignme...
The typical method to couple activity-based demand generation (ABDG) and dynamic traffic assignment ...
A car following model for dynamic traffic simulation is applied to a bottleneck situation on a two l...
International audienceAutonomous vehicles promise an important opportunity for a complete paradigm s...
Abstract Recently, an open-source light-weight dynamic traffic assignment (DTA) package, namely DTAL...
This article is aimed at the description of traffic simulation architecture based on a multi-agent s...
International audienceIn this paper, we introduce a novel dynamic controller assignment algorithm ta...
International audienceDemand-responsive transportation systems diversify local transport supply with...
International audienceWe built a multiagent simulation of urban traffic to model both ordinary traff...
A dynamic trip assignment-simulation model for urban intermodal transportation networks is presented...
It had been shown previously that so-called agent-based traffic micro-simulations could be used for ...
In this paper we develop a multi-agent based traffic simulator by considering traffic flows as emerg...
International audienceWe built a multiagent simulation of urban traffic to model both ordinary traff...