The object of this article is to improve the intelligent vehicles' "ACC system" (Adaptive Cruise Control) and "Braking system" function and permits the vehicle have more sophisticated changing lane behavior and be able to deal with more complex situations when changing lane. Then test the function in the web simulator, which is designed by a start-up called CIL4Sys and is software whose robustness for different functions needs to be test.
Firstly, to improve the vehicle's changing/merging lane behavior, two algorithms are created: Algorithm 1 "changing/merging lane decision algorithm" sub system and Algorithm 2 "obstacle avoidance algorithm" sub system. The combination of these two algorithms serves as two different functions. A function dealing with the full process of intelligent vehicle's changing/merging lane in highway: Function 1 "Changing/merging lane function". And a function for obstacle avoidance in city road: Function 2 "Obstacle avoidance function". The main tools for developing the algorithm is Matlab / Simulink, the main environment for compiling the algorithm is VS2012.
To test the function, a UML model is needed to integrate the function to the profile of that of the enterprise. And the UML model for this sub system has been constructed using PTC Integrity Modeler. Please note that all these functions consider the traffic act.