Traffix -- Agent-based traffic simulation

It is possible to model and examine the most complex traffic situations using the Traffix agent-based traffic-simulation solution. From the simulations, important information can be acquired regarding the traffic handling efficiency of a given road network. Participants and driving styles can fully be customized: from being too cautious, through obeying the highway code to reckless driving, all styles can be defined. Traffic lights, barriers and traffic signs can be placed anywhere on an arbitrary complicated road system.

Road System

The construction of arbitrary complex road networks is possible, using one way, one- and multiple lane roads, intersections, bridges. Detours, traffic signs and traffic lights can be placed in the system. New, unique signs and objects can be created that will affect drivers’ behavior: billboards diverting attention may slow down some drivers; a shocking ad showing why the Highway Code should be obeyed may be such.


Trucks, buses, SUVs, cars, motorbikes or any other kind of motor vehicles may take part in the traffic. New vehicles with unique parameters (maximum speed, acceleration, deceleration, length, etc) may be defined. These vehicles can be assigned to a driver, whose driving style can also be various. Drivers decide which route to take, which lane to use, when to switch lanes, how to cross a junction, whether to stop or pass the traffic light’s yellow sign and whether to obey traffic rules. Behavior patterns can be identified, which can be assigned to each participant with different ratio and to different caliber.


Scenarios define how often and on which route participants appear during a simulation. Entry and exit points and the frequency, at which given participant with given parameters should appear can be defined.


The parameters defining driving styles and frequency of appearance must be entered to run the simulation. Once the simulation runs, traffic lights operate and participants move in sequential rounds and make decisions. Participants’ decisions are influenced by their current position, their target, their immediate traffic surroundings and their driving style. Moreover, some drivers may be aware of road blocks and closed lanes. 



A compressed file containing two real-map-based demos can be downloaded from here.