Driving Practice Route Planning by Road Difficulty Levels

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing navigation systems lack the ability to provide customized route planning and navigation services for driving training scenarios, particularly for novice drivers, and do not adequately consider road difficulty levels or user preferences, limiting the selectivity and interaction of route options.

Innovation Solution

A route planning and navigation system that classifies roads by driving practice difficulty levels based on static and dynamic attributes, allowing users to set preferences for driving training scenarios, and provides guidance through a virtual driving instructor.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional route planning methods are used that provide only 2-3 alternative routes based on basic factors, then the navigation system is simple and easy to operate, but the selectivity and customization options for users are very limited

Engineering Contradiction:

Improveroute customization optionsVSAvoidnavigation system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments route planning into multiple independent dimensions including route type selection (expressway, scenic, driving training), difficulty level classification (easy, medium, hard), and specific preference settings. This segmentation allows users to customize routes through multiple independent parameters without overwhelming system complexity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The navigation system dynamically adjusts route options based on user selections across multiple dimensions. The system provides different route plans depending on the combination of preferences selected, making the system adaptable to various user needs while maintaining a standardized interface

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If users must manually set start point and end point for navigation, then the navigation system is simple to operate, but it cannot meet the requirements of driving training scenarios where arriving at the end point is not the fundamental objective

Engineering Contradiction:

Improvedriving training scenario supportVSAvoidroute setting complexity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The navigation system incorporates multiple function modes including conventional navigation, driving training, and scenic routes within a single system. The driving training mode specifically allows users to set practice duration and difficulty level without requiring destination input, making the system versatile for different usage scenarios

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

In driving training mode, the system inverts the conventional navigation logic by not requiring an end point but instead using start point, practice duration, and difficulty level as the basis for route generation. This inversion allows the system to focus on providing training value rather than just transportation efficiency

Inventive Principle:

Principle #13The other way round (Inversion)

3Adaptability or versatility

If existing navigation systems provide the same route options for all users, then the system is simple to implement, but it cannot provide specialized route planning for specific scenarios such as driving training for novice drivers

Engineering Contradiction:

Improvescenario-specific route planningVSAvoiduser preference information

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system performs preliminary classification of roads into different difficulty levels based on static attributes (road width, curvature, intersection density) and dynamic attributes (traffic flow, congestion level) before route planning. This preliminary action enables the system to quickly generate appropriate routes for different skill levels without losing important road characteristic information

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250321110A1Route planning method, navigation method, system and vehicle for driving practice scenarios

Publication Date: 2025.10.16 CARIAD (CHINA) CO LTD

AI summary

Disclosed is a route planning method and system and a navigation method and system for a driving training scenario, and a vehicle. The route planning method comprises: on the basis of static and dynamic attributes related to a road, classifying and marking the road by using different levels of driving practice difficulty; and setting, on the basis of driving training preferences of a user, a route planned for the driving training scenario. The navigation method comprises: on the basis of a route planned by the route planning method, providing route guidance to a user through audio broadcast and/or video display.