Specialized Vehicle Traffic Estimation from Generic Route Data
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Solution Overview
Problem
Navigation systems often provide inaccurate traffic information for specialized vehicles like mopeds and scooters due to their low representation on roads, as existing data is primarily based on more common vehicles, leading to unreliable travel time predictions.
Innovation Solution
A method that adjusts initial driving information for generic vehicles to create specialized traffic information by using vehicle progress data from reference trips and performance factors associated with speed limits, maneuver types, traffic incidents, and other conditions, employing machine learning algorithms to determine accurate adjustments for individual road links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traffic information is created using data from generic vehicles, then the quantity of available data increases, but the accuracy for specialized vehicles deteriorates
Solution Approach 1:
The patent segments traffic information into generic vehicle data and specialized vehicle data. It collects data from multiple specialized vehicles traveling along the same route, separates their travel times from generic vehicle data, and creates specialized traffic information specifically for specialized vehicles like mopeds and scooters.
Solution Approach 2:
The patent performs preliminary data collection and analysis by gathering travel time data from specialized vehicles before creating the adjusted traffic information. It pre-processes this data to determine adjustment values that will be applied to generic traffic information, enabling accurate predictions before actual navigation queries are made.
2Measurement precision
If traffic information is created using data from specialized vehicles only, then the accuracy for specialized vehicles improves, but the reliability of data deteriorates due to small sample size
Solution Approach 1:
The patent merges data from multiple specialized vehicles traveling along the same route to create a sufficient sample size. It combines their travel time data with generic vehicle data, applies adjustments based on the specialized vehicle characteristics, and produces reliable traffic information that maintains both statistical reliability and vehicle-specific accuracy.
3Measurement precision
If adjustment values are determined for each individual road link, then the precision of traffic information improves, but the complexity of processing increases
Solution Approach 1:
The patent applies local quality by determining adjustment values for each individual road link rather than applying a uniform adjustment across entire routes. This allows the traffic information to account for local conditions specific to each road segment, such as intersections, traffic lights, or road characteristics that affect specialized vehicles differently.
Data Source
AI summary
A method, apparatus and computer program product are provided for creating traffic information for a specialized type of vehicle. The method may include receiving initial driving information for a generic type of vehicle along a planned traffic route. The generic type of vehicle travels along the planned traffic route in larger numbers than the specialized type of vehicle. The method further includes determining an adjustment to the initial driving information for the specialized type of vehicle along the planned traffic route. The method further includes creating a specialized driving information based on the initial driving information and the adjustment that was determined. The method still further includes providing the specialized driving information relating to the planned traffic route for the specialized type of vehicle. A corresponding apparatus and computer program product are also provided.