Amusement Park Mobile App Optimizing Ride Navigation
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Solution Overview
Problem
Visitors to amusement parks and waterparks face challenges in efficiently navigating and utilizing their time due to the large size of the parks and long wait times for attractions, with existing mobile applications providing limited convenience and entertainment value once inside the park.
Innovation Solution
A mobile application that determines user preferences and location to navigate them to attractions with shorter wait times, offers interactive entertainment features, and dynamically adjusts ride experiences based on user engagement, providing discounts and rewards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If visitors manually plan their attraction schedule before arriving at the park, then they can identify attractions of interest, but they spend excessive time selecting and navigating between attractions with no real-time wait time optimization
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal attraction sequences and wait times before the user needs them. The server continuously monitors attraction wait times and pre-determines the next best attraction to visit, so when the user queries the system, the recommendation is already prepared and optimized for minimal waiting.
Solution Approach 2:
The system implements continuous feedback loops where wait time data from attractions is constantly collected, processed, and used to update recommendations in real-time. The system monitors user progress through the park and dynamically adjusts attraction recommendations based on current wait times, ensuring the user always receives optimized routing information.
2Loss of information
If the park provides detailed attraction information and maps, then users can identify available attractions, but the applications do not provide added convenience or entertainment value once users are present at the park
Solution Approach 1:
The system transforms static attraction information into dynamic, adaptive recommendations that change based on real-time conditions. Instead of providing fixed maps and attraction lists, the system continuously updates attraction recommendations, wait times, and routing information based on current park conditions, user preferences, and real-time wait time data from multiple attractions.
Solution Approach 2:
The mobile application serves multiple functions beyond basic information provision: it provides real-time wait time optimization, dynamic routing navigation, attraction recommendations based on user preferences, entertainment through games and challenges, and social features. This multi-functional approach replaces the need for separate guides, maps, and entertainment options.
3Productivity
If visitors attempt to visit multiple attractions during their park visit, then they can experience more entertainment, but they face long wait times that reduce overall efficiency
Solution Approach 1:
The system pre-calculates optimal attraction sequences that minimize total wait time before the user begins their visit. By analyzing historical and real-time wait time data, the system determines the most efficient order to visit multiple attractions, allowing users to maximize the number of attractions visited within their available time.
Solution Approach 2:
The system continuously monitors wait times at all attractions and dynamically adjusts the recommended attraction sequence. As users progress through the park and wait times change, the system provides real-time feedback and updates the optimal route, enabling users to adapt their visit plan to minimize total waiting time and maximize attraction throughput.
Data Source
AI summary
A mobile application for execution upon an electronic device for an amusement park or waterpark. The mobile application provides information, entertainment or other convenience data to the user while the user is within the park. The mobile application may be configured to determine a position of the electronic device within the park and display notifications including discounts at nearby vendors or restaurants, menus of nearby eateries, or ride recommendations based upon wait times. The mobile application may allow the user to make reservations at nearby restaurants within the park. The mobile application may generate an efficient ride sequence for the user based upon characteristics of either the user or the user's participation within the park and navigate the user around the park according to the ride sequence. Puzzles, games, or other entertainment or educational activities may be displayed to the user for providing rewards based upon their participation.