Vehicle Driving Information System for Driver Pattern Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) primarily focus on vehicle-centric information, failing to account for the driver's pattern, which can lead to repetitive rapid decelerations in specific areas, such as narrow alleys or congested zones, making it difficult to identify and warn against potential accident risks.
Innovation Solution
A system and method that analyze the driver's pattern by receiving status variables like vehicle position, time, and engine start/stop times, determining potential dangerous sections through rapid deceleration data, and outputting warnings based on current velocity, using existing sensors and navigation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing ADAS is used to collect and provide vehicle information, then vehicle safety information is provided, but driver pattern information is not considered leading to repetitive rapid decelerations
Solution Approach 1:
The system stores status variables (position, time, engine start/stop times) when rapid deceleration occurs, and uses this stored information to provide feedback warnings to the driver when similar conditions are detected again, creating a closed-loop system that learns from past driving patterns
Solution Approach 2:
The system performs preliminary analysis of driving patterns by storing status variables during rapid deceleration events, and uses this pre-analyzed information to provide advance warnings before the driver encounters the same dangerous situation again
2Reliability
If the system analyzes driving patterns and provides warnings, then accident risk is reduced, but system complexity increases
Solution Approach 1:
The system uses existing ADAS components (sensors, navigation system, storage unit) for multiple purposes: original safety functions plus new driver pattern analysis and warning functions, avoiding the need for separate dedicated hardware
Solution Approach 2:
The system uses its own stored status variable data to analyze driving patterns and generate warnings, making the system self-sufficient without requiring external databases or additional complex infrastructure
3Reliability
If rapid deceleration occurs in specific zones, then driver responds to immediate danger, but fuel efficiency decreases due to repetitive braking
Solution Approach 1:
The system provides advance warnings to the driver about upcoming dangerous sections based on stored pattern data, allowing the driver to prepare and moderate speed before entering the dangerous zone, thereby avoiding sudden rapid deceleration and improving fuel efficiency
Data Source
AI summary
A system and method for providing vehicle driving information are provided. The method includes receiving, by a controller, one or more status variables that indicate a driving pattern of a driver and determining whether the one or more input status variables are within a predetermined error range of a stored potential dangerous section status variable. In addition the method includes determining, by the controller, whether a warning message is output based on a present velocity of the vehicle when the one or more input status variables are within the predetermined error range of the stored potential dangerous section status variable.