Server-Based Navigation Probability Calculation for Mobile Bodies
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Solution Overview
Problem
Current navigation systems lack an effective method to notify mobile bodies, such as vehicles and pedestrians, about approaching specific areas affected by events like traffic jams or accidents, using dynamic map information and event reliability to calculate probabilities and provide real-time alerts.
Innovation Solution
A server computer calculates the areas a mobile body may arrive at, estimates the probability of encountering an event, extracts avoidance positions, and notifies the mobile body of the encountering probability based on dynamic map information, event reliability, and estimated arrival time, using a combination of area calculation, arriving probability, avoidance position extraction, and notification mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation systems provide detailed real-time event notifications to mobile bodies, then the reliability and safety of navigation is improved, but the device complexity and computational requirements increase
Solution Approach 1:
A server computer acts as an intermediary between event sources and mobile bodies, centralizing the complex calculations for determining notification areas and encountering probabilities. The server receives event information, performs sophisticated area calculations based on mobile body movement patterns, and sends notifications to mobile bodies, thereby distributing system complexity away from individual mobile bodies while improving overall navigation reliability
Solution Approach 2:
The system pre-calculates multiple notification areas based on predicted mobile body movement patterns before the mobile body actually encounters events. By determining notification areas in advance based on dynamic map information and movement history, the system prepares notification data proactively, reducing real-time computational burden while maintaining high reliability
2Measurement precision
If the system calculates multiple notification areas based on dynamic map information to improve notification accuracy, then the measurement precision of event location is improved, but the loss of time for calculation increases
Solution Approach 1:
The server computer pre-calculates multiple notification areas based on predicted mobile body movement patterns and dynamic map information before real-time notification is needed. By determining multiple potential notification areas in advance based on historical movement data and map information, the system reduces real-time computational burden while maintaining high location accuracy
Solution Approach 2:
The system dynamically adjusts notification areas based on real-time mobile body movement patterns and changing map conditions. Multiple notification areas are calculated to account for different possible movement trajectories, allowing the system to maintain high measurement precision while adapting to dynamic conditions without excessive real-time calculation
3Loss of information
If the system provides comprehensive event information and encountering probabilities to mobile bodies, then the loss of information is reduced, but the device complexity for processing and transmitting data increases
Solution Approach 1:
The server computer serves as an intermediary that aggregates event information from multiple sources, calculates encountering probabilities, and formats comprehensive notifications. This centralization reduces information loss by ensuring complete event data is captured and processed, while distributing the data processing complexity to the server rather than requiring complex processing in each mobile body device
Solution Approach 2:
The system uses feedback from mobile body movement patterns and event outcomes to refine notification accuracy and information completeness. By analyzing actual mobile body trajectories and event encounters, the server optimizes the information provided in notifications, reducing information loss over time while managing processing complexity through learned patterns
Data Source
AI summary
A method for notifying a mobile body that the mobile body is approaching a particular area comprising calculating a plurality of areas where the mobile body may arrive on the basis of dynamic map information; calculating, for each event occurring in the plurality of areas, an arriving probability of arriving at a region affected by the event; extracting an avoidance position for enabling the mobile body to avoid arriving at the region affected by the event; calculating an encountering probability of meeting the region affected by the event on the basis of a reliability of the event, the arriving probability, and the avoidance position, and notifying the mobile body of the encountering probability.