Load-Based Mapping for Driver Cognitive Load Reduction
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Solution Overview
Problem
Conventional mapping systems fail to consider cognitive, emotional, or psychological loads when providing routes, leading to increased driver fatigue, stress, and reduced enjoyment, as they primarily focus on time and resource costs without accounting for factors like road conditions, perceived danger, and route familiarity.
Innovation Solution
Load-based mapping techniques that take into account various factors such as road surroundings, lane number, nature, aesthetics, types of vehicles, perceived danger, and route familiarity to provide routes with lower cognitive, emotional, or psychological loads, allowing drivers to select routes that are less stressful and more enjoyable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional mapping systems provide the fastest or shortest route based on time and resource costs, then route efficiency is improved, but driver cognitive load and stress increase
Solution Approach 1:
The patent changes the optimization parameters from purely time and distance-based metrics to include cognitive load factors such as route familiarity, road complexity, and driver stress levels. The system evaluates multiple routes using expanded parameters that incorporate psychological and cognitive dimensions, not just temporal and spatial efficiency.
Solution Approach 2:
The patent adds new dimensions to route evaluation beyond the traditional time-distance plane. It introduces cognitive load as a third dimension, incorporating factors like driver familiarity with the route, complexity of intersections, presence of pedestrians, and overall road environment complexity to create a multi-dimensional routing optimization system.
2Device complexity
If conventional mapping systems focus on time and resource costs, then computational simplicity is maintained, but driver enjoyment and satisfaction decrease
Solution Approach 1:
The system expands evaluation parameters to include aesthetic and enjoyment factors such as scenic views, road quality, and driver preference metrics. These additional parameters are integrated into the routing algorithm to optimize for both efficiency and driver satisfaction, transforming the optimization objective function to balance multiple competing factors.
3Speed
If routes are selected based solely on speed and distance, then routing speed is improved, but driver stress and fatigue increase
Solution Approach 1:
The patent introduces stress and fatigue as negative parameters in the route optimization function. It incorporates factors such as traffic density, road gradient, curvature, and driver cognitive load to evaluate and minimize stress accumulation along potential routes, balancing speed optimization with driver well-being.
Data Source
AI summary
This document describes techniques and apparatuses for load-based mapping. The techniques provide routes for drivers that take into account a cognitive, emotional, or psychological load for the routes. By so doing, a driver can receive a route from one point to another that the driver may better enjoy, feel less tired or stressed by, or take less mental effort to drive.