Transportation System Prioritizing Users for Traffic Incident Plans
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Solution Overview
Problem
Disruptions in public transportation lead to increased travel times, crowding, and economic losses for both passengers and service providers, with existing solutions relying on individual judgment for detours and spare time utilization, which can be inefficient and ineffective.
Innovation Solution
A system and method that analyzes transportation operation information to identify affected users, prioritizes them based on characteristics, and provides alternative transportation plans or uses for spare time, utilizing machine-learned results to optimize route changes and reduce economic losses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a centralized system analyzes transportation operation information and provides alternative plans to all affected users, then economic loss reduction is improved, but system complexity increases
Solution Approach 1:
The system segments users into different priority groups (first priority, second priority, third priority) based on their characteristics and needs. This segmentation allows the complex system to manage multiple users efficiently by applying different strategies to different segments, reducing the overall system complexity while maintaining comprehensive coverage for economic loss reduction.
Solution Approach 2:
The processor acts as an intermediary that receives transportation operation information from service providers, analyzes it, and generates alternative plans. This intermediary component centralizes the complex analysis and decision-making functions, allowing individual users to receive simplified recommendations without each user needing to independently analyze the complex transportation data.
2Measurement precision
If user information is collected and analyzed in real-time, then alternative plan accuracy is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary analysis of transportation operation information to identify affected users and their characteristics before generating alternative plans. By pre-segmenting users into priority groups and pre-analyzing their characteristics, the system reduces the real-time processing burden while maintaining high accuracy in the alternative plans generated.
Solution Approach 2:
The system applies different levels of analysis and data collection to different user segments based on their priority levels. First priority users receive more comprehensive analysis and personalized alternative plans, while lower priority users receive standardized recommendations. This local quality approach optimizes data processing time by not uniformly applying high-resource analysis to all users.
Data Source
AI summary
In an approach for reducing economic loss due to traffic events, a processor receives a set of transportation operation information from one or more transportation service providers about a traffic event. A processor analyzes the set of transportation operation information to identify an area affected by the traffic event and one or more users affected by the traffic event. A processor gathers a set of information about each user of the one or more users affected by the traffic event. A processor prioritizes the one or more users affected by the traffic event. A processor determines an alternative plan for each user of the one or more users affected by the traffic event based on the set of information and a priority number given to each user. A processor proposes the alternative plan to each user of the one or more users affected by the traffic event.