Vehicle Traffic Update Filtering by Criticality and Route Relevance
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Solution Overview
Problem
Existing methods for updating traffic information in vehicles are inefficient, leading to excessive data transmission and lack of vehicle-specific relevance in the information provided.
Innovation Solution
A method involving a server outside the vehicle that receives requests to update navigation map traffic information, determines criticality and relevance values for changes, calculates a volume of change, and transmits updates only if the volume exceeds a predefined threshold, ensuring only important information is sent to the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the server transmits all traffic information updates to vehicles, then the navigation map remains up-to-date, but the data transmission volume becomes excessively large
Solution Approach 1:
The server extracts and transmits only the critical and relevant portions of traffic information changes rather than all updates. This is achieved by calculating a volume of change and comparing it against a threshold, sending data only when significant changes occur that affect the vehicle's navigation needs.
Solution Approach 2:
The system applies different transmission criteria to different road sections based on their relevance to the vehicle's current location and route. Road sections closer to the vehicle or on the planned route receive higher relevance values, allowing selective updating of only those areas that matter to the driver.
2Quantity of substance
If the server transmits only selective traffic information, then the data transmission volume is reduced, but the completeness and accuracy of navigation updates deteriorates
Solution Approach 1:
The system uses feedback mechanisms by calculating criticality values that assess the importance of traffic information changes. The server continuously monitors traffic data and dynamically determines which changes warrant transmission based on their potential impact on the vehicle's navigation, ensuring that only meaningful updates are sent.
Solution Approach 2:
The system changes parameters such as criticality values, relevance values, and volume of change thresholds to dynamically adjust what information is transmitted. These parameter changes allow the system to adapt to different traffic conditions, vehicle locations, and route plans while maintaining navigation accuracy.
3Measurement precision
If the server processes and evaluates all traffic information changes, then the relevance and criticality assessment is accurate, but the computational complexity and processing time increases
Solution Approach 1:
The server segments the navigation map into multiple road sections and processes each section independently. This allows parallel processing of different geographic areas, reducing the overall computational burden while maintaining accurate criticality and relevance assessments for each segment based on the vehicle's location and route.
Data Source
AI summary
A method updates traffic information relating to a vehicle. The method includes ascertaining a change in traffic information for each road section of a navigation map responsive to a request message from the vehicle. The method also includes determining a criticality value for the ascertained change in the traffic information for each road section, and determining a relevance value for each ascertained change. A volume of change of the traffic information relating to the navigation map is calculated based at least in part on the ascertained changes in the traffic information, the determined criticality value, and the determined relevance value for all road sections of the navigation map. The method includes transmitting a response message comprising the traffic information if the calculated volume of change exceeds a predefined threshold value. The vehicle can update the traffic information relating to the vehicle based on the transmitted response message.