The latest adaptive cruise control (ACC) systems are designed to handle the stop-and-go driving common in traffic jams. One limitation of stop-and-go control features is that they tend to have slower response times than human drivers. When slow response times create gaps between vehicles, drivers in adjacent lanes are tempted to cut in to the gaps, which can cause a traffic jam.
Engineers at Hitachi Automotive Systems have developed an ACC system for stop-and-go driving that responds as quickly as a typical human driver when the vehicle in front accelerates. The system, which is based on a model predictive controller (MPC), was built using Model-Based Design with MATLAB® and Simulink®.
“We decided to use MATLAB and Simulink right from the start of the project,” says Taku Takahama, senior engineer at Hitachi Automotive Systems, Ltd. “Without these tools, development would have taken much longer, and we would have had difficulty achieving our goals for system performance and driver comfort.”