Indoor Traffic Prediction via Mobile Device Data Aggregation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face challenges in managing time effectively when visiting businesses due to unpredictable indoor traffic and wait times, as existing technologies lack efficient methods to provide real-time indoor traffic information.
Innovation Solution
A system where mobile devices collect and transmit location, time, and speed information to a server, which analyzes this data to determine average wait times and delivers indoor traffic information back to users, allowing them to adjust schedules and plan visits optimally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users visit businesses without indoor traffic information, then they can access services, but they waste time due to unpredictable wait times and high traffic periods
Solution Approach 1:
The system performs preliminary actions by collecting location and time data from multiple mobile devices before users need the information. The server processes this data to determine average wait times and indoor traffic patterns in advance, then delivers this pre-computed information to users before they visit businesses, enabling them to plan their visits optimally and avoid high-traffic periods.
Solution Approach 2:
The system implements feedback by continuously collecting location, time and speed information from mobile devices, processing this data to determine average wait times, and delivering this information back to users. Users can then use this feedback to adjust their visit times, and the system continues to collect new data reflecting these changed patterns, creating a closed-loop system that progressively improves time management.
2Loss of information
If the system collects and processes location data from multiple mobile devices, then indoor traffic information becomes available, but system complexity increases
Solution Approach 1:
The server acts as an intermediary that receives location, time and speed information from multiple mobile devices, processes this data to determine average wait times, and delivers the processed indoor traffic information back to users. This intermediary approach allows the system to manage complexity centrally while providing valuable information to multiple users without requiring complex peer-to-peer interactions between devices.
Data Source
AI summary
In some implementations, a mobile device can collect location, time and speed information associated with a building. The mobile device can transmit the location, time and speed information to a server. The server can collect location, time and speed information from multiple mobile devices. The server can determine average wait times (e.g., indoor traffic information) associated with areas of interest at a business or indoor location. The server can deliver the average wait times to mobile devices. The mobile devices can use the indoor traffic information to adjust reminders, calendar events, suggest the best times to visit a business or suggest which of several businesses to visit.