Vehicle Action Control for Road User Trajectory Conflicts
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Solution Overview
Problem
Existing autonomous driving systems struggle to efficiently manage traffic scenarios involving slow-moving vehicles and vulnerable road users, leading to inefficiencies and safety concerns due to the formation of long vehicle lines and potential trajectory intersections.
Innovation Solution
A vehicle control system that utilizes sensors and communication protocols to prioritize anticipated movements of other road users, determining actions that allow their trajectories while adjusting vehicle behavior to enhance safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle maintains its predicted trajectory, then the vehicle follows its planned route, but it may cause delays and safety issues for other road users forming a line
Solution Approach 1:
The vehicle control system dynamically adjusts the vehicle's trajectory based on real-time detection of road users in line. The system transitions from a static predicted trajectory to a dynamic adaptive trajectory that responds to the presence and anticipated movements of other road users, resolving the contradiction between maintaining route fidelity and ensuring safety for all road users.
Solution Approach 2:
The system implements feedback by continuously monitoring the positions and anticipated movements of road users in line, then adjusting the vehicle's trajectory accordingly. This closed-loop control allows the vehicle to balance its own route efficiency with the safety and flow of traffic, preventing delays while maintaining reliable operation.
2Productivity
If the vehicle allows anticipated movement of other road users, then safety and traffic efficiency improve, but the vehicle's own trajectory and schedule are delayed
Solution Approach 1:
The vehicle control system applies partial action by selectively adjusting its trajectory only when and where needed to accommodate road users in line. Rather than always yielding or always maintaining course, the system applies trajectory adjustments proportionally to the detected traffic conditions, optimizing overall traffic efficiency while minimizing impact on the vehicle's own schedule.
3Productivity
If the vehicle prioritizes its own predicted trajectory, then the vehicle maintains efficiency, but it creates safety risks by not accounting for anticipated movements of other road users
Solution Approach 1:
The system performs preliminary action by detecting and anticipating the movements of road users in line before conflicts occur. By proactively identifying potential trajectory intersections and adjusting the vehicle's path in advance, the system maintains vehicle efficiency while preemptively eliminating safety risks associated with other road users' anticipated movements.
Data Source
AI summary
Devices and methods for determining an action in the presence of road users are provided in this disclosure. A device may include a processor. The processor may be configured to access environment information including an indication of a size of road users intersecting with a predetermined route of a vehicle in a road environment. The processor may further be configured to prioritize an anticipated movement of at least one of the road users over a predicted movement of the vehicle within the predetermined route based on the size of road users. The processor may further be configured to determine a vehicle action allowing the anticipated movement of the at least one road user.