Parking Exit Route Selection for Automated Driving vs Walking
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Solution Overview
Problem
Existing systems for vehicles with automated driving functionality face inefficiencies when exiting a parking lot, as they often take longer compared to manual driving by a driver.
Innovation Solution
A method and system that calculates and compares the estimated time for both automated driving and walking routes from a vehicle's parking space to a destination, allowing users to select the most efficient option based on time, distance, parking level, and environmental conditions, and instructs the vehicle to start automated driving if selected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated driving functionality is used to exit from parking, then the vehicle can drive autonomously from parking space to destination, but the exit time becomes longer compared to manual driving
Solution Approach 1:
The system dynamically switches between automated driving mode and manual driving mode based on real-time conditions. The automated driving function is activated when favorable conditions exist (clear weather, short distance, low traffic), while manual driving is selected when conditions are unfavorable, thereby optimizing exit time while maintaining automation where beneficial
Solution Approach 2:
The system changes operational parameters by adjusting the driving mode (automated vs. manual) based on multiple parameters including weather conditions, distance to destination, traffic congestion level, and parking location. This parameter-based decision-making allows the system to adapt to varying conditions and select the optimal exit strategy
2Extent of automation
If the vehicle exits by automated driving, then automation level is high, but the exit efficiency is lower compared to driver manual driving
Solution Approach 1:
The system dynamically adjusts the degree of automation applied during exit based on real-time assessment of multiple factors. Rather than using fixed automated driving, the system transitions between automated and manual modes to maintain high exit efficiency while preserving automation benefits when appropriate
Solution Approach 2:
The system modifies operational parameters by selecting different driving modes based on conditions such as distance, weather, and traffic. This parameter-driven approach ensures that automation is applied only when it contributes to efficiency, thereby optimizing overall exit productivity
Data Source
AI summary
The on-board apparatus 50 calculates an automated driving route of the vehicle 55 from the parking space of the vehicle 55 to the destination and an estimated time required to reach the destination in the case in which the vehicle 55 drives by automated driving by following the automated driving route. The server apparatus 30 calculates a walking travel route in the case of traveling by walk from the position of the terminal apparatus 10 to the parking space of the vehicle 55 and an estimated time required to reach the parking space of the vehicle 55 in the case of walking by following the walking travel route. The terminal apparatus 10 displays at the display unit 140 the automated driving route, the estimated time required for the automated driving route, the walking travel route, and the estimated time required for the walking travel route; and when a selection of the automated driving route is accepted, the terminal apparatus 10 starts the drive of the autonomous vehicle.