benchflow-ai/skillsbench/vehicle-dynamics

new_speed = current_speed + acceleration * dt
new_speed = max(0, new_speed)  # Speed cannot be negative

new_position = current_position + speed * dt

# When following another vehicle
relative_speed = ego_speed - lead_speed
new_distance = current_distance - relative_speed * dt

def safe_following_distance(speed, time_headway, min_distance):
    """
    Calculate safe distance based on current speed.
    Args:
        speed: Current vehicle speed (m/s)
        time_headway: Time gap to maintain (seconds)
        min_distance: Minimum distance at standstill (meters)
    """
    return speed * time_headway + min_distance

def time_to_collision(distance, ego_speed, lead_speed):
    """
    Calculate time to collision.
    Returns None if not approaching (ego slower than lead).
    """
    relative_speed = ego_speed - lead_speed
    if relative_speed <= 0:
        return None  # Not approaching
    return distance / relative_speed

def clamp_acceleration(accel, max_accel, max_decel):
    """Constrain acceleration to physical limits."""
    return max(max_decel, min(accel, max_accel))

def determine_mode(lead_present, ttc, ttc_threshold):
    """
    Determine operating mode based on conditions.
    Returns one of: 'cruise', 'follow', 'emergency'
    """
    if not lead_present:
        return 'cruise'
    if ttc is not None and ttc < ttc_threshold:
        return 'emergency'
    return 'follow'