Dynamic Transit Route Adjustment for Event Demand
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Solution Overview
Problem
Conventional transportation systems fail to adapt to changing passenger demand and updated travel information, as they operate on fixed routes or schedules, limiting their ability to respond to dynamic passenger needs.
Innovation Solution
A dynamic transit management system that determines tentative routes based on multiple inputs, including passenger requests, event information, and geographical conditions, and adjusts these routes to establish a finalized route for transporting passengers to events, which is then published to a database for operator pairing and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional fixed route or fixed schedule transportation is used, then system simplicity is maintained, but adaptability to changing passenger demand and updated travel information deteriorates
Solution Approach 1:
The patent implements dynamic route determination by continuously receiving real-time inputs from multiple sources including passenger demand data, event information, traffic conditions, and weather data. The system dynamically adjusts transit routes and schedules based on changing conditions rather than operating on fixed predetermined patterns, directly resolving the contradiction between adaptability and complexity by making the system responsive to real-time data
Solution Approach 2:
The system incorporates multiple feedback loops where real-time data from passengers, events, traffic authorities, and weather services continuously inform route adjustments. This feedback mechanism enables the system to adapt to changing conditions while maintaining operational efficiency, addressing the contradiction by using information flow to drive dynamic adaptation without excessive complexity
2Adaptability or versatility
If multiple real-time inputs are processed to determine dynamic routes, then adaptability to passenger demand improves, but computational complexity and data processing requirements worsen
Solution Approach 1:
The patent segments the complex data processing task into distinct functional modules: a data reception module that collects inputs from multiple sources, a route determination module that processes the data, and a publishing module that distributes optimized routes. This segmentation reduces overall system complexity by dividing the computational burden into manageable, specialized components that can operate independently
Solution Approach 2:
The system introduces intermediary components including a centralized database for storing and managing multi-source data, and algorithmic processors that act as mediators between raw data and route decisions. These intermediaries simplify the computational complexity by providing structured data flow and standardized processing interfaces between different system components
3Productivity
If tentative routes are dynamically adjusted based on real-time data, then passenger transportation efficiency improves, but route determination time and computational resources worsen
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing data from multiple sources in a centralized database before route determination is needed. Event information, traffic patterns, and weather data are collected and organized in advance, allowing the route determination algorithm to quickly retrieve and process pre-organized information rather than gathering data in real-time, thus reducing route determination time while maintaining high productivity
Solution Approach 2:
The patent employs parameter changes by adjusting route characteristics such as departure times, stopping points, and vehicle allocation based on processed data. The system changes operational parameters dynamically to optimize ridership while using efficient algorithms that minimize computational time, resolving the contradiction between productivity optimization and time consumption in route determination
Data Source
AI summary
This application relates to a method for establishing a finalized route for transporting passengers throughout a region to an event, is described. The method includes determining a tentative route for transporting the passengers to the event, where determining the tentative route includes: determining event information for the event that is scheduled to occur in the region, where the event information includes at least one of (i) a time associated with the event or (ii) a location associated with the event. The method further includes determining the finalized route for transporting the passengers to the event by adjusting the tentative route, where adjusting the tentative route includes at least one of (i) determining a change in status of the tentative route or (ii) determining a geographical condition associated with the region. The method further includes publishing the finalized route.