Time-Inclusive Route Planning With Dynamic Waypoint Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional mapping applications fail to provide accurate departure and arrival times, do not account for time-of-day and day-of-week variations in traffic, and lack features for deeper trip planning, such as splitting trips over multiple days or suggesting stops like hotels and restaurants.
Innovation Solution
A time-based trip planning system that allows users to input desired departure and arrival times, considers traffic variations, and offers suggestions for stops along the route, automatically updating timing information based on user preferences and trip length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mapping applications provide only predicted route length without time-based planning, then the system complexity remains low, but the accuracy of departure and arrival time information deteriorates
Solution Approach 1:
The system performs preliminary calculations of departure and arrival times based on user-input preferences (desired departure time, desired arrival time, or trip duration) before the actual trip. It pre-determines optimal routes and timing information, allowing users to plan ahead with accurate time estimates rather than calculating during the trip.
Solution Approach 2:
The system dynamically adjusts route recommendations and timing information based on user preferences and trip characteristics. It adapts the level of detail and type of information provided (e.g., showing intermediate stops for long trips versus direct routes for short trips) based on the specific trip context.
2Measurement precision
If conventional mapping applications do not consider time-of-day and day-of-week variations, then the computational requirements remain low, but the accuracy of travel time predictions deteriorates
Solution Approach 1:
The system pre-processes and stores traffic pattern data organized by time-of-day and day-of-week categories before actual trip planning. This preliminary organization allows the system to quickly retrieve appropriate travel time estimates without performing complex real-time calculations, reducing computational requirements during actual use.
3Adaptability or versatility
If conventional mapping applications provide basic route directions without trip planning features, then the ease of operation remains high, but the usefulness for deeper trip planning deteriorates
Solution Approach 1:
The system automatically segments long trips into manageable portions with suggested intermediate stops (hotels, restaurants, attractions) based on trip duration and user preferences. It divides a multi-day trip into daily itineraries with specific routes and timing, making complex long-distance planning accessible without requiring manual coordination of multiple components.
Solution Approach 2:
The system merges route planning with trip planning by integrating suggestions for hotels, restaurants, and points of interest directly into the route recommendations. It combines navigation directions with accommodation and dining reservations, allowing users to plan entire trips in one interface rather than coordinating separate applications.
4Loss of information
If conventional mapping applications do not suggest intermediate stops, then the device complexity remains low, but the ability to provide comprehensive trip information deteriorates
Solution Approach 1:
The system dynamically determines the level of detail for trip information based on trip characteristics. For short trips, it provides basic route information; for medium trips, it suggests optional stops; for long trips, it automatically recommends intermediate accommodations and meals. This dynamic adaptation ensures comprehensive information is provided when needed without unnecessarily complicating simple trip planning.
Data Source
AI summary
Timing information and deeper trip planning can enhance conventional mapping functionality. A user provides a specified time of arrival and/or departure information along with a starting and end point, and receives a travel route with estimated arrival and departure times based on time-specific information, such as traffic or construction at specific times of day. The user can choose or be prompted to add one or more waypoints along the way. The user can get recommendations for hotels, restaurants, points of interest, and other such locations based on location, time of day, travel time, or other such aspects. Upon selecting a waypoint, the amount of time the user will be at that waypoint and the additional driving time are used to adjust one or more other times of the trip, such as the starting or departure times, or times of other waypoints.