Dynamic Arrival Time Adjustment for Destination Conditions
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Solution Overview
Problem
Current navigation systems do not account for conditions at a destination, such as weather, when routing a vehicle, potentially exposing occupants to unfavorable conditions upon arrival.
Innovation Solution
A method and system that determine the arrival time at a destination and adjust the route or navigation to avoid unfavorable conditions by using processors, sensors, and data sources to forecast conditions and dynamically adjust the vehicle's arrival time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the navigation system uses traditional routing based on shortest time or distance, then the routing efficiency is improved, but the vehicle may arrive at the destination during unfavorable conditions such as bad weather
Solution Approach 1:
The system performs preliminary action by checking forecasted weather conditions and other destination conditions before finalizing the routing decision. The navigation system retrieves forecasted data for the destination at the estimated arrival time and uses this information to determine whether to adjust the route or arrival time, thereby preventing the vehicle from arriving during unfavorable conditions.
Solution Approach 2:
The system applies dynamics by making the routing decision adaptive based on real-time and forecasted conditions. Instead of using a static routing algorithm, the system dynamically adjusts the route or arrival time based on current weather forecasts, traffic conditions, and other destination-specific factors, allowing the navigation system to respond flexibly to changing circumstances.
2Ease of operation
If the navigation system adjusts the route or arrival time to avoid unfavorable conditions, then the comfort of occupants is improved, but the travel time increases
Solution Approach 1:
The system applies parameter changes by modifying either the arrival time parameter or the route parameters based on forecasted conditions. When unfavorable conditions are detected, the system changes the arrival time parameter to a different time window or adjusts the route parameters to take an alternative path, thereby achieving comfortable arrival conditions while managing the time loss through calculated parameter adjustments.
3Adaptability or versatility
If the navigation system incorporates condition forecasting and dynamic route adjustment, then the adaptability to destination conditions is improved, but the system complexity increases
Solution Approach 1:
The system applies universality by integrating multiple functions into the existing navigation system framework. The navigation system not only provides traditional routing but also incorporates weather forecasting, condition assessment, and dynamic route adjustment capabilities, allowing a single system to handle both conventional navigation tasks and adaptive condition-based decision-making without requiring entirely separate systems.
Data Source
AI summary
An estimated time of arrival of a vehicle can be adjusted based on conditions at a destination. An arrival time at a destination can be determined. It can be determined whether a condition will exist at the destination at the arrival time. Responsive to determining that the condition will exist at the destination at the arrival time, a route and/or a navigation of the vehicle can be adjusted to arrive at the destination to avoid the condition.