Traffic Causality Prediction System for Congestion Management
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Solution Overview
Problem
Current navigation software does not provide users with clear information about the causes of traffic congestion or alternatives to avoid it, leading to frustration and inefficient route choices.
Innovation Solution
A system that uses traffic models and real-time data from sensors and crowd-sourcing to predict the causes of traffic congestion and provide users with detailed information on expected wait times and alternate routes, including explanations for route selections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If navigation software provides basic route guidance, then users can navigate from start to destination, but users lack information about congestion causes and alternatives leading to frustration
Solution Approach 1:
The system segments traffic information into distinct components: congestion detection, cause identification (using multiple specialized models for accidents, weather, events), and alternative route generation. This modular segmentation allows comprehensive information provision while maintaining manageable system structure through division of functions.
Solution Approach 2:
The patent introduces an intermediary traffic analysis system that sits between raw traffic data and users. This intermediary processes sensor data, applies multiple traffic models, identifies congestion causes, and translates complex data into actionable insights for users, thereby providing information without exposing system complexity.
2Loss of time
If users reroute to alternate routes without congestion information, then users attempt to avoid congestion, but alternate routes may also be congested wasting time
Solution Approach 1:
The system performs preliminary analysis of multiple potential routes before the user commits to a choice. It evaluates congestion conditions, identifies causes, and predicts future states of alternate routes in advance, allowing users to make informed decisions before departing or rerouting, thereby avoiding wasted time on congested alternatives.
Solution Approach 2:
The system provides feedback to users about congestion conditions on both current and alternate routes, including expected wait times and causes. This feedback loop enables users to understand why certain routes are congested and make better routing decisions, reducing time loss from poor route choices.
3Measurement precision
If multiple traffic models are used to predict congestion causes, then accurate congestion forecasting is achieved, but system complexity increases
Solution Approach 1:
The system segments the traffic prediction function into multiple specialized models, each handling a specific congestion cause (accidents, weather, events, general traffic patterns). This segmentation improves prediction accuracy for each specific cause while organizing system complexity into manageable, specialized modules rather than one monolithic complex system.
Solution Approach 2:
The patent creates a universal traffic analysis platform that handles multiple types of congestion causes through different models. This multi-functional system provides comprehensive coverage of various congestion scenarios while sharing common infrastructure (data collection, processing pipeline, user interface), thereby managing overall complexity through resource sharing.
Data Source
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AI summary
One or more techniques and/or systems for providing congestion information for a road segment presently experiencing traffic congestion and/or likely to experience traffic congestion in the future are provided. In some embodiments, traffic models are configured to determine road segments where traffic congestion is likely to occur, to determine a cause of traffic congestion, and/or to determine the effect of such traffic congestion (e.g., the duration of such traffic congestion, the expected time delays due to such traffic congestion, etc.). Congestion information indicative of the cause of congestion and/or the effect(s) of such traffic congestion, for example, may be provided to a user to explain to the user why the congestion is occurring, to describe one or more road segments to avoid, and/or to explain why a particular route was selected as a preferred route to a destination, for example.