NumberLanes is the total number of destination lanesĬar-following and lane-changing models are applied to calculate the section travel time.Length is the turn length, considering 3D coordinates.JamDensity is the Jam Density parameter of the origin section.TurnCapacity = JamDensity * Length * NumberLanes The turn capacity TurnCapacity is calculated in a similar way: NumberLanes is the total number of lanes in a section, considering on- and off-ramps.Length is the section length, considering 3D coordinates.JamDensity is the Jam Density parameter defined in road sections.SectionCapacity = JamDensity * Length * NumberLanes The capacity SectionCapacity, in terms of the number of vehicles that can be contained at any time in a section, is calculated by using the jam density parameter and the length of the section. Is that all nodes are considered to be non-yellow boxes. Sections and turns become vehicle containers. In Aimsun Next, vehicles are assumed to move through sections and turns, so In the mesoscopic network representation, nodes are interpreted as mesoscopic nodes in the mesoscopic network representation. In Aimsun Next there are sections and turns that connect two sections, and nodes, which are containers of turns. Network elements are those objects that are present in all networks. Modeling vehicle movement from sections to turns.Modeling vehicle movement in nodes ( Node Model).Vehicle movement is divided into two models: All vehicles always enter the model through a virtual section or a virtual turn. In both cases, vehicles enter virtual sections or turns and enter the real network when the node server considers that there is enough space in the network. The network structure for both situations is depicted in the screenshot below. Vehicles enter into the network via origin centroids, where an origin centroid can be connected either to a section or to a node. These headways are used to generate the vehicles that will enter using dynamic network loading. The traffic generation process determines the headway times for each vehicle. For example, the vehicle entrance process, traffic demand data, network geometry, vehicle data, and control plan are common to both modes. With this exception, most of the modules and concepts in Aimsun Next are shared between meso and microscopic simulation. The main difference between the mesoscopic and microscopic approach is the use of discrete events to simulate vehicle movements through the network rather than the simulation of discrete time steps.
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