Autonomous Driving Mode Aware Route Optimization
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Solution Overview
Problem
Current GPS devices do not account for whether a vehicle is being driven manually or using autonomous functions, leading to inadequate route optimization for self-driving vehicles, which may not always be the fastest or safest option.
Innovation Solution
A system that determines whether a vehicle will be driven manually or using autonomous functions and adjusts the route accordingly, using data on traffic conditions, pedestrian presence, and dedicated autonomous driving lanes to provide optimized directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If GPS devices provide generic directions without considering driving mode, then device complexity is reduced, but route optimization for autonomous vehicles deteriorates
Solution Approach 1:
The GPS device dynamically adapts its routing algorithm based on the detected driving mode (manual or autonomous). The system transitions from a static, one-size-fits-all approach to a dynamic, mode-specific approach, optimizing routes according to the capabilities and limitations of the current driving mode.
Solution Approach 2:
The system changes key routing parameters such as speed limits, traffic flow preferences, and lane selection criteria based on the driving mode. For autonomous vehicles, parameters are adjusted to prioritize lanes and routes optimized for self-driving capabilities, while manual driving uses traditional routing parameters.
2Productivity
If GPS devices provide mode-specific directions, then route optimization for autonomous vehicles is improved, but device complexity increases
Solution Approach 1:
The GPS device automatically detects the driving mode through sensors and vehicle system communications, eliminating the need for manual user input. The system self-adjusts its routing parameters and provides mode-appropriate directions without requiring user intervention or complex configuration interfaces.
Solution Approach 2:
The GPS device maintains a universal architecture that can handle both manual and autonomous driving modes through a single integrated system. Rather than requiring separate dedicated systems for each mode, the device universally supports multiple driving modes by dynamically switching between different routing algorithms and parameters.
3Reliability
If autonomous vehicle function is used, then safety in certain conditions is improved, but speed in pedestrian-heavy areas deteriorates
Solution Approach 1:
The routing system applies different quality characteristics to different segments of the journey based on the autonomous vehicle's operational context. In pedestrian-heavy areas, the system prioritizes safety over speed, selecting slower, more cautious routes. In open highways or less complex environments, the system can optimize for higher speeds while maintaining safety standards.
Data Source
AI summary
In one aspect, a device includes a processor and storage accessible to the processor. The storage bears instructions executable by the processor to receive input indicating a destination and to determine whether at least a portion of a route to the destination will be driven using an autonomous vehicle function. The instructions are also executable to determine directions to the destination based on the determination of whether at least a portion of a route to the destination will be driven using an autonomous vehicle function, and to output the directions.