Traffic Forecasting via Mobile Sensor Data Fusion
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Solution Overview
Problem
Current methods for providing road traffic information are limited by the lack of accurate and comprehensive data, particularly in areas without road sensors and the reliance on manual observations, which are often incomplete and lack detail, leading to inadequate traffic congestion management.
Innovation Solution
Combining historical and current data on road traffic conditions to generate expected traffic flow conditions by fitting actual traffic data to historical travel profiles, using sensors and mobile data sources to create accurate and detailed traffic forecasts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual observations and limited sensor networks are used, then device complexity is reduced, but measurement precision and data completeness deteriorate
Solution Approach 1:
The patent introduces mobile devices (smartphones, tablets) as intermediary data collection points between the driver and the central processing system. These mobile devices carry sensors that can detect traffic conditions, and their data is transmitted to a central server for processing, combining the simplicity of manual observation with the precision of electronic sensing across multiple locations
Solution Approach 2:
The patent makes mobile devices universal data collection tools that can function in multiple roles: they serve as navigation devices, communication devices, and traffic sensing devices. This multi-functionality allows widespread deployment without adding specialized infrastructure complexity, while gathering comprehensive traffic data from numerous locations simultaneously
2Measurement precision
If road sensors are installed on all roads, then measurement precision improves, but device complexity and cost increase
Solution Approach 1:
Instead of installing physical sensors on every road segment, the patent uses mobile devices carried by drivers as portable copies of sensing functionality. Each mobile device replicates the sensing capability temporarily at its location, providing comprehensive coverage without permanent infrastructure installation. The data from these temporary copies is aggregated to create a complete picture of traffic conditions
3Device complexity
If manual observations are used, then device complexity is reduced, but quantity of information and detail level deteriorate
Solution Approach 1:
The patent replaces manual observation mechanisms with automated electronic sensing in mobile devices. These devices automatically collect traffic data without human intervention, capturing multiple parameters simultaneously (position, speed, traffic density, weather conditions) and transmitting them electronically to create comprehensive digital records of traffic conditions across numerous locations and time periods
Data Source
AI summary
Techniques are described for determining and using information regarding expected road traffic flow conditions information for vehicles traveling on roads. The expected road traffic flow conditions for a particular portion of a road may be generated by combining historical representative information about road traffic flow conditions for that road portion with current information about actual traffic flow on or near that road portion. The combination may, for example, provide benefits for estimating expected traffic flow conditions information for roads with structural flow obstructions that cause reduced traffic flow at certain road locations and times—for example, the expected traffic flow conditions information may be based at least in part on fitting or otherwise adapting partial actual traffic flow information about a vehicle's actual travel path to a historical travel profile for a road that includes representative traffic flow information for various combinations of road locations and time periods.