Navigation Travel Time Deviations for Trustworthy Route Guidance
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Solution Overview
Problem
Existing navigation systems provide inconsistent travel time predictions due to discrepancies between predicted and actual traffic flow, leading to driver mistrust and suboptimal route decisions.
Innovation Solution
Determine usual, current, and predicted travel times based on historical and real-time traffic flow data, providing deviations to enhance consistency and relevance for the driver's knowledge level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a navigation system provides predicted travel time based on current traffic flow, then the information is useful for route planning, but the driver may perceive it as inconsistent when it conflicts with their local knowledge or other sources
Solution Approach 1:
The patent segments travel time information into three distinct components: usual travel time (historical average), current travel time (based on present traffic flow), and predicted travel time (based on expected traffic conditions). By presenting these segmented pieces of information separately, the system allows drivers to understand the different bases for each time estimate, reducing perceived inconsistency and building trust while maintaining information completeness.
Solution Approach 2:
The system changes the parameters of information presentation by providing multiple travel time metrics rather than a single predicted value. It transforms the raw data into meaningful deviations (differences between usual, current, and predicted times), which helps drivers contextualize the predictions against their own knowledge and experience, thereby increasing acceptance and trust.
2Ease of operation
If the system provides detailed travel time information including deviations, then the driver can make better decisions, but the information processing complexity increases
Solution Approach 1:
The patent extracts and highlights only the most relevant information for driver decision-making: the deviations between usual, current, and predicted travel times. Rather than presenting all raw data, the system isolates and presents the differences that matter most to the driver, simplifying the information processing burden while maintaining ease of decision-making.
Solution Approach 2:
The system performs preliminary processing of traffic data by calculating usual travel times from historical data and current travel times from real-time data before presenting the predicted travel time to the driver. This preliminary computation of reference values (usual and current times) is done in advance, so that when the predicted time is generated, only the deviation calculations are needed, reducing the complexity of real-time information processing.
Data Source
AI summary
A method for determining travel information of a vehicle on a predetermined route includes determining a usual travel time on the route and determining a current travel time on the route on the basis of a current traffic flow on the route. The method further includes determining a predicted travel time on the basis of a traffic flow on the route at the time at which the vehicle is expected to travel on said route. The method also includes providing a deviation of the predicted travel time from the usual travel time and providing a deviation of the predicted travel time from the current travel time.