Vehicle Accelerator and Brake Pedal On-Off State Judgment by Using Speed Recognition

Abstract

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 the road environment. At present, road environmental information can flow to the vehicle, while the vehicle’s information rarely flows to the outside world. The electronic throttle and electronic braking systems of some vehicles use sensors to get the state of the accelerator and brake pedal, which can be transmitted to the outside environment through technologies such as the Internet of Vehicles. But the 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 the vehicle pedal on-off state as well as the driver’s operation behavior through existing traffic facilities. The research object is the 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 the vehicle model database. Combined with road environment data, the pedal on-off state will be calculated by the vehicle dynamics model. The research results show that the judgment accuracy of the pedal opening and closing state is high, and the errors are generated at the time of the pedal opening and closing state transition, and the maximum error is 0.4 s. 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.