Vehicle Route Guidance Using Segment Fuel Efficiency and Stops
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Solution Overview
Problem
Conventional traffic and driving information guidance services do not consider fuel consumption variations due to vehicle stops caused by traffic volume and traffic lights, leading to inefficient driving routes.
Innovation Solution
A vehicle driving assistance system that segments routes based on curvature and gradient, calculates drivable speed and stop frequency, and provides optimal routes considering fuel efficiency, with real-time updates and assistance for approaching segments of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional traffic and driving information guidance services provide predetermined data, then the service is simple to implement, but fuel efficiency is not optimized due to ignoring vehicle stops and route characteristics
Solution Approach 1:
The driving route is divided into multiple segments based on curvature and gradient characteristics. Each segment is analyzed separately for fuel consumption, allowing the system to optimize routing decisions by considering the specific features of each segment rather than treating the entire route as a single unit.
Solution Approach 2:
The system dynamically adjusts route recommendations by calculating drivable speed and number of stops for each segment based on real-time traffic information and segment characteristics. This dynamic approach allows the system to adapt to changing conditions and optimize fuel efficiency throughout the journey.
2Use of energy by moving object
If the system segments the driving route based on curvature and gradient, then fuel efficiency optimization is improved, but the calculation complexity and processing time increase
Solution Approach 1:
The system performs preliminary segmentation of the driving route based on curvature and gradient data before detailed fuel consumption calculations are made. By pre-identifying segments with different characteristics, the system reduces the computational complexity of subsequent fuel efficiency analyses.
Solution Approach 2:
The system changes the parameter of route representation from a single continuous path to discrete segments with specific characteristics (curvature, gradient, drivable speed, number of stops). This parameter transformation enables more efficient calculation and comparison of fuel consumption across different routing options.
3Measurement precision
If the system calculates drivable speed and number of stops for each segment, then routing accuracy for fuel efficiency is improved, but the computational load increases
Solution Approach 1:
By dividing the route into segments with relatively uniform characteristics, the system can apply simplified calculation models to each segment while maintaining overall accuracy. This segmentation approach reduces computational complexity compared to analyzing the entire route with high-detail models.
Solution Approach 2:
The system applies different calculation approaches to different segments based on their specific characteristics. For example, segments with high curvature may use different drivable speed calculations than straight segments, allowing for accurate local optimization without requiring complex global calculations.
4Ease of operation
If the system provides detailed segment information and dynamic route updates, then driving assistance quality is improved, but the information processing requirements increase
Solution Approach 1:
The system processes and presents information in discrete segment units rather than as a continuous stream of data. This segmentation allows for more efficient data management and presentation, reducing the cognitive load on drivers while maintaining comprehensive information about route characteristics.
Solution Approach 2:
The system extracts only the most relevant information from the detailed segment analysis for presentation to the driver, such as key fuel efficiency metrics and important route characteristics. This extraction approach reduces the volume of information that needs to be processed and displayed while maintaining the quality of driving assistance.
Data Source
AI summary
Disclosed are an apparatus and method for providing driving information and driving assistance of a vehicle. A vehicle driving information provision and driving assistance method according to an embodiment of the present invention includes receiving at least one of real=time traffic information, average speed or signal information, or a combination thereof on at least one driving route from a departure point of the vehicle to a destination from at least one server, receiving, from the server, per-segment information of at least one segment generated by segmenting the driving route and per-segment reference fuel efficiency information, calculating a drivable speed and a number of stops per segment based on at least one of the real-time traffic information, average speed or signal information, or a combination thereof, and notifying a driver of an optimal route selected based on the reference fuel efficiency information, the drivable speed, and the number of stops.