Vehicle accelerator and brake pedal on-off state judgment by using speed recognition
2020-01-1377
04/14/2020
- Event
- Content
- The development of intelligent transportation improves road efficiency, reduces automobile energy consumption and improves driving safety. The core of intelligent transportation is the two-way information interaction between vehicles and road environment. At present, mainly the road environment information transmits to vehicles, while the information of vehicles rarely transmits to the outside. The electronic throttle and electronic braking systems of some vehicles using sensors to get the state of the accelerator and brake pedal, which can be transmitted to the outside through technologies such as the Internet of vehicles. But, Internet of vehicles technology has not been widely used, and it relies on signal sources, which is a passive way of information acquisition. In this paper, an active identification method is proposed to get vehicle pedal on-off state also driver operation behavior through existing traffic facilities. The research object is commercial vehicles driving on expressways. Vehicle speed is acquired by the camera, and specific vehicle models are identified by the camera to get the relevant vehicle parameters from vehicle model database. Combined with road environment data, the pedal on-off state will be calculated by the vehicle dynamic model. The results show that the on-off state of the accelerator and the brake pedal can be recognized when the open degree of the accelerator pedal is more than 3% and the open degree of the brake pedal is more than 7%.This study provides a new method for the outside access to vehicle longitudinal operation information in the intelligent transportation system, and provides a backup scheme for the information interaction of the Internet of vehicles, which can provide a reference for the determination of traffic accident liability.
- Citation
- Tian, Z., Yang, B., linpeng, C., Zhou, F. et al., "Vehicle accelerator and brake pedal on-off state judgment by using speed recognition," SAE Technical Paper 2020-01-1377, 2020, .