Aimsun Scripting Manual Programs Running
Define code sections within your MATLAB program files to evaluate each section individually. You cannot debug when running individual code sections. During PTV Vissim simulation runs or in the test mode, VAP. Moreover, VisVAP provides a debug functionality that during a running simulation allows users to go. Dynamically bind a script to any objects during run-time; Inside the script engine, Aimsun. In the AIMSUN MicroAPIs manual. If the host program.
Did you know that you can use the Aimsun micro Advanced Programming Interface (API) to model some connected vehicle applications, such as Cooperative Adaptive Cruise Control (CACC)? For this application, you need functions to:. Read the state of a vehicle and that of the preceding vehicle (to check that the two are within the maximum communication range of the system and to read the information that would be transmitted between the two, such as: position, speed, acceleration, etc.).
Modify the behavioral parameters of a vehicle to emulate the transition from human to machine control. Control the speed of a vehicle during the simulation The API provides all of the functions to perform these tasks.
Cooperative Adaptive Cruise Control Cooperative Adaptive Cruise Control relies on inter-vehicle communication to access the speed, distance and acceleration of the leader vehicle(s) to calculate the speed or acceleration that the follower vehicle should adopt. Explanation: Read the total number of vehicles in a section int AKIVehStateGetNbVehiclesSection(int aidSec, bool considerAllSegments).
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In this example, finding the leader is trivial because there is only one section and one lane and the API returns the vehicles ordered from the end to the beginning of the section. You should rewrite this function if you want to deal with more complex situations that have multiple lanes and sections. Obtain the state of each vehicle and that of its leader using the following function.
Explanation: Read the information of a vehicle in a section infVeh = AKIVehStateGetVehicleInfSection(id, i) Step 2 Check whether the distance between the two vehicles is within the maximum communication range of the system, in which case CACC is activated. The activation of CACC is modelled by altering some vehicle parameters that reflect human driving behavior. To change the behavioral parameters of a vehicle, for example reactionTime, reactionTimeAtStop, reactionTimeAtTrafficLight, sensitivityFactor, minDistanceVeh, you use the following function.
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Explanation: Modify the speed of a tracked vehicle for the next simulation step int AKIVehTrackedModifySpeed(int aidVeh, double newSpeed) Note that Aimsun doesn’t allow you to set a speed higher than that it calculates applying the default car-following. The vehicle parameters that we set when CACC is activated aim at making the default car-following speed less restrictive than the CACC speed.
If the leader of a CACC vehicle leaves the platoon, the following vehicle must return to manual driving conditions. This is achieved by restoring the initial values of the vehicle parameters. Running the sample API Download the sample files below and ensure that all files are located in the same directory:. Remember that the Aimsun AAPI file must be consistent with the Aimsun version currently in use.
You can retrieve it here: C: Program Files TSS-Transport Simulation Systems Aimsun programming Aimsun API AAPIPython Micro Procedure. Launch Aimsun and then open the CACC.ang file provided. Execute the Replication.
See Log window for detailed feedback about the operation of the CACC License: Note that you need an API license to run this example. For more information, please contact.