The mushroom cap, from −0.5 m/s2 to 2 m/s2 longitudinal acceleration, occurs when the accelerator is used and brake is not.
Ten driving data attributes analyzed here are those previously mentioned (steering angle, speed, longitudinal acceleration, lateral acceleration, yaw rate, accelerator control, brake control, lateral displacement, accelerator control speed, and brake control speed), which covers both longitudinal and lateral control of the vehicle.
The collected data include steering angle, speed, longitudinal acceleration, lateral acceleration, yaw rate, accelerator control, brake control, lateral displacement, longitudinal displacement, accelerator control speed, and brake control speed.
In real-world scenarios, lateral acceleration or side-to-side movements represent driving events such as turning left and right and lane change while longitudinal acceleration corresponds to vehicle braking and accelerating.
Airplanes with strong fuselage structures that do not deform and produce sharp, well-supported plowing edges will have relatively low longitudinal acceleration during crashes similar to those studied.
Five performance attributes, namely speed, longitudinal acceleration, lateral acceleration, yaw rate, and throttle position were used to describe the driving behavior.
This reference speed was formulated by taking into account the vehicle's limits due to lateral acceleration, combined lateral and longitudinal acceleration and the vehicle's performance capabilities.
To obtain the desired steering angle and longitudinal acceleration for maintaining the subject vehicle in the safe driving envelope during a finite prediction horizon, a motion planning controller is designed based on an model predictive control (MPC) approach.
The research focusses on the systematic evaluation of the minimum perceptible difference in longitudinal acceleration profiles in a dynamic driving simulator with the goal to establish the simulator as a design tool for powertrain modifications.
This paper presents a model matching control (MMC) method based on the sliding mode control (SMC) method for longitudinal acceleration tracking control in a vehicular stop-and-go cruise control system.
Despite the availability of research on the vehicle bridge interaction (VBI) analysis of vehicles with constant velocity, few studies have investigated the effect of vehicle longitudinal acceleration on VBI and more research is required.
