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Microsimulation (or microscopic) traffic simulation models use a detailed description of the movement of each individual vehicle in order to model traffic at a very detailed level. Microsimulation software is often used to evaluate traffic information, management, and control systems. Microsimulation models represent all related systems that affect traffic, such as traffic control and traffic guidance. Traffic control includes fixed and actuated traffic signals, ramp metering, and restricted access lanes and facilities.

In order to model the response of the drivers to information, microsimulation models provide facilities to represent information dissemination devices, such as variable message signs, and models to capture the response of the drivers to the presented information. As microsimulation models act as the test-beds for intelligent transportation systems and in-vehicle technologies prior to their deployment, microsimulation models sometimes also include facilities to model such systems as advanced driver assistance systems (ADAS), vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) systems, and pricing strategies.

Different types of vehicles are also modeled, including passenger cars, commercial vehicles, powered-two-wheelers, public transport vehicles, and emergency vehicles, as well as different types of drivers. Modeling of pedestrians is a more difficult challenge, but most commercial microsimulation software has begun integrating detailed pedestrian simulation components. The ultimate goal is to model interaction among all of the various modes, such as how buses and trams interact with passenger vehicles, or how all motorized vehicle modes interact with pedestrians and bicyclists.

Microsimulation models have been developed for more than 60 years, and a large number of mature microscopic models are widely used today, including commercial software such as AIMSUN, PARAMICS, TransModeler, and VISSIM; software supported by authorities, such as CORSIM, and academic- and research-oriented software, such as DRACULA, MITSIMLab, and sumo. One of the key prerequisites of microsimulation models is their detailed network representation. The information that is required when representing a traffic network for a microsimulation model is much more detailed than it would be for a less detailed model, such as a mesoscopic or macroscopic model. Typically, besides links, nodes and lanes, the information that is required includes lane connections, turning movements, and location and settings of traffic control devices.

Driving Behavior

Driving behavior in microscopic simulation models transcends three levels: (1) a strategic level in which the driver decides how to traverse the network to reach the destination, which is commonly modeled using route choice models; (2) a tactical level, in which the driver attempts to implement a strategic plan, such as determining the appropriate lane changes; and (3) an operational level, in which the driver performs the actual maneuvers, such as gap acceptance and acceleration, that will enable the necessary tactical decisions.

In terms of the strategic level, some of the initial models did not represent paths but used instead intersection turning proportions to determine vehicle movements across the network. Therefore, these models were not suitable to model route guidance applications.

However, modern traffic microsimulation systems have graduated to the loading of demand, using origin-destination tables, and the use of route choice models (usually logit-type, discrete choice models) to determine the paths that the vehicles follow as they traverse the network. If information is provided to the drivers, then these models also consider how the drivers respond to this information.

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