The aim of this paper is to evaluate the impact of connected autonomous behavior in real vehicles on vehicle fuel consumption and emission reductions. Authors provide a preliminary theoretical summary to assess the driving conditions of autonomous vehicles in roundabout, which attempts exploring the impact of driving behavior patterns on fuel consumption and emissions, and including other key factors of autonomous vehicles to reduce fuel consumption and emissions. After summarizing, driving behavior, effective in-vehicle systems, both roundabout physical parameters and vehicle type are all play an important role in energy using. ZalaZONE’s roundabout is selected for preliminary test scenario establishment, which lays a design foundation for further in-depth testing.
The work is proposed to design a controller of the form known as the roundabout scenario trajectory tracking problem. The road condition is a four-leg, single-lane roundabout; the reference path is given. Due to the decision choice of exits, the MPC tracking controller is used to test the effect of weight parameter and target speed on the performance of the tracking controller. Two sets of test cases are proposed to make the experimental comparison, see the relationship between the control parameters and road conditions (different curvature path), and also see how the weight parameters Q and R and sample time affect the tracking performance. Our work, MPC controller utilization in a roundabout, plays an essential role with the increasing autonomy of vehicles.
This paper presents a parametric B-spline-based path planning approach for roundabout exit traverse planners to handle successively generated trajectories. A roundabout is a complex driving scene because of its large curvature and the varying intersection leg angles. A few studies focus on the relationship between roundabout intersection leg angle and path performance. This paper discusses B-spline advantages to curve road conditions and the impact of roundabout geometry elements on path planning performance. Knot vectors are defined, and control points are calculated to meet the requirements for generating paths that fit in different roundabout direction maneuvers. Four countries' roundabout design standards are summarized with their unique geometry elements. Additionally, the Stanley tracking controller was used to calculate the steering behavior. The impacts of maneuver directions and intersection angles are discussed. It is explained stepwise how the maneuver system framework was built and what notable impacts the geometric structure of the roundabout has on the paths.
Aging of societies is a major international trend, thus effective and long-term development of activities for the elderly is an important issue. Vehicles must improve the range of activities of older people and increase their life trajectory beyond their age limits. With human participation, autonomous vehicles need to improve driving capabilities to drive safely in traffic scenarios and implement sustainable solutions. The discussion focuses on the impact on driving behavior, the functionality of vehicle sensors, and the interaction with traffic road users. This paper illustrates that autonomous driving tasks can benefit aging drivers due to vehicle sensors and systems, and road users when dealing with new or unexpected traffic situations. Identifying cognitive changes and relationships is important better to understand the road environment’s cognitive processes and behaviors.
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