Dynamic Route Adjustment for Public Transit Dissatisfaction
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Solution Overview
Problem
Public transportation systems face user dissatisfaction due to inefficiencies such as rigid schedules, inconveniently located stations, long waiting times, and uncoordinated transfers, which are exacerbated by increasing population density and the need for network optimization to reduce pollution and fossil fuel dependence.
Innovation Solution
A method involving sensor monitoring to collect data on transportation routes, generating graphs with nodes representing stops and associated densities and leaving rates, comparing these against predetermined thresholds to determine user dissatisfaction levels, and generating outputs to identify and address these issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If public transportation operates on fixed routes and schedules, then operational simplicity is maintained, but user satisfaction deteriorates due to inability to adapt to changing demand and conditions
Solution Approach 1:
The patent implements dynamic route adjustment where transportation paths are continuously modified based on real-time sensor data about passenger density, traffic conditions, and demand patterns. The system transitions from static fixed routes to dynamic adaptive routes that automatically reconfigure to optimize service quality while maintaining operational feasibility
Solution Approach 2:
The system employs continuous feedback loops using sensors distributed throughout the transportation network to monitor passenger flow, vehicle occupancy, and route performance. This feedback is processed to automatically adjust routing decisions, creating a closed-loop control system that adapts to changing conditions while managing complexity through automated decision-making
2Measurement precision
If more sensors and monitoring equipment are deployed to collect route information, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent designs multi-functional sensor nodes that simultaneously perform multiple tasks: collecting passenger density data, tracking vehicle location, monitoring traffic conditions, and communicating with central and decentralized control systems. This universal approach maximizes measurement precision while minimizing the number of separate devices needed, thereby controlling system complexity
Solution Approach 2:
The system merges sensing, processing, and communication functions into integrated smart nodes distributed throughout the transportation network. By combining multiple functions into unified components, the system achieves high measurement precision without proportionally increasing overall system complexity
Data Source
AI summary
An aspect of this invention is a method that includes monitoring sensors to collect information for a transportation route, and generating a graph from the collected information where the graph includes a plurality of nodes, each node representing a stop on the at least one transportation route. Each of respective nodes is associated with a corresponding transportation stop density and a corresponding passenger leaving rate. The corresponding transportation stop density is compared with at least one predetermined density threshold and the corresponding passenger leaving rate is compared with at least one predetermined leaving rate threshold to determine a level of dissatisfaction for each of the respective nodes. A tangible output is generated that identifies a level of user dissatisfaction for each of the plurality of nodes.