The Development and Application of ACC System
Ning Bian, Jifeng Liu, Jiangwei Du, Shun Guo, Yanding Yang, Ji Chen, Tingting Shi, Yue Zhi
Abstract
Ning Bian, Jifeng Liu, Jiangwei Du, Shun Guo, Yanding Yang, Ji Chen, Tingting Shi, Yue Zhi
Abstract
In the past years, Advanced Driver Assistance Systems (ADAS), for example, Adaptive Cruise Control system (ACC), Emergency Brake Assist system (AEB) etc, have been developed to improve vehicle control and driving safety. With such systems, traffic accidents caused by driver inattention and lack of driving experiences could be avoid or reduced. At last, the consequences of the accidents can be lowered. Among these systems, ACC system has being developed to adaptive ego-vehicle velocity and relative distance between ego-vehicle and target obstacle (for example the preceding vehicle) to traffic situations in order to avoid the ego-vehicle in dangerous situations, at the same time, to improve driving comfort. To develop and optimize the ACC system for driving behavior and traffic situations in China, a development platform based on the home-developed branding Dongfeng Fengshen A60 has been built. In this platform, the ACC function has been realized by driving torque and braking force control with sensing the traffic environment by long-range radar. The ACC system control algorithm has been implemented on the basis of the rapid prototype system ETAS and the development environment Matlab/Simulink. A huge of tests in the test track and public road have been done by using many typical ACC usecases (driving maneuver). The analyses of test data show that the ACC system works well both on the test track and public road.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In the past years, Advanced Driver Assistance Systems (ADAS), for example, Adaptive Cruise Control system (ACC), Emergency Brake Assist system (AEB) etc, have been developed to improve vehicle control and driving safety. With such systems, traffic accidents caused by driver inattention and lack of driving experiences could be avoid or reduced. At last, the consequences of the accidents can be lowered. Among these systems, ACC system has being developed to adaptive ego-vehicle velocity and relative distance between ego-vehicle and target obstacle (for example the preceding vehicle) to traffic situations in order to avoid the ego-vehicle in dangerous situations, at the same time, to improve driving comfort. To develop and optimize the ACC system for driving behavior and traffic situations in China, a development platform based on the home-developed branding Dongfeng Fengshen A60 has been built. In this platform, the ACC function has been realized by driving torque and braking force control with sensing the traffic environment by long-range radar. The ACC system control algorithm has been implemented on the basis of the rapid prototype system ETAS and the development environment Matlab/Simulink. A huge of tests in the test track and public road have been done by using many typical ACC usecases (driving maneuver). The analyses of test data show that the ACC system works well both on the test track and public road.
Key concepts: Cruise control, Advanced driver assistance systems, Automotive engineering, Computer science, Brake, Obstacle, Simulation, Cruise