Server Segmentation for Vehicle-Specific Traffic Guidance
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Solution Overview
Problem
Existing traffic information systems fail to provide vehicle-specific information, leading to inaccurate or unnecessary guidance for different vehicle types, such as buses, trucks, and high-performance vehicles, due to the lack of differentiation in traffic data collection and processing.
Innovation Solution
A server and method that collect and process traffic information separately for each vehicle type, generating specialized traffic information based on vehicle attributes and GPS trajectory data, and providing directions accordingly, with speed corrections when the number of probes is insufficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traffic information is collected and provided without regard to vehicle type, then the system is simple and easy to operate, but the accuracy and relevance of traffic information for specific vehicle types deteriorates
Solution Approach 1:
The patent segments traffic information collection and processing by vehicle type. The server collects GPS trajectory information and vehicle attribute information, then processes this data separately for different vehicle types (e.g., buses, trucks, high-performance vehicles) to generate vehicle-type-specific traffic information. This segmentation resolves the contradiction by maintaining system simplicity while improving information accuracy through structured data organization.
Solution Approach 2:
The patent applies local quality by providing different traffic information characteristics to different vehicle types. Instead of uniform information for all vehicles, the system tailors traffic information to local needs of specific vehicle types, such as providing bus-specific route information for buses or speed-appropriate guidance for trucks, thereby improving relevance without significantly complicating the overall system.
2Device complexity
If traffic information is provided without vehicle type differentiation, then the device complexity is low, but the reliability of traffic information for specific vehicle types deteriorates
Solution Approach 1:
The system segments traffic information processing by vehicle type, collecting GPS and attribute data separately for different vehicle categories. This segmentation improves reliability by ensuring each vehicle type receives appropriate information while keeping the system manageable through structured data storage and processing architecture.
Solution Approach 2:
The patent changes parameters in traffic information based on vehicle type. The server modifies traffic information parameters (such as speed limits, route recommendations, and timing) according to the specific vehicle type, thereby improving reliability without requiring complex system redesign, as the changes are applied through parameter adjustment rather than structural complexity.
3Quantity of substance
If general traffic information is provided to all vehicles, then the quantity of information processed is reduced, but the quality of vehicle-specific traffic information deteriorates
Solution Approach 1:
The patent segments information processing by vehicle type, collecting and processing GPS trajectory data and vehicle attribute data separately for each vehicle type. This segmentation increases the quality of vehicle-specific information while managing information volume through structured collection and processing, ensuring high-quality tailored information without overwhelming data processing requirements.
Solution Approach 2:
The system focuses on improving local quality by providing vehicle-type-specific traffic information. Instead of processing all possible vehicle data uniformly, the server concentrates on collecting and processing information relevant to specific vehicle types, thereby enhancing information quality while optimizing the quantity of data processed for each vehicle category.
4Loss of time
If traffic information is not corrected based on vehicle type, then the processing time is reduced, but the accuracy of speed information deteriorates
Solution Approach 1:
The patent segments speed information processing by vehicle type. The server collects GPS trajectory information and vehicle attribute information, then processes speed data separately for different vehicle types (e.g., buses, trucks, high-performance vehicles) to generate vehicle-type-specific speed information. This segmentation improves speed information accuracy while managing processing time through efficient data organization.
Solution Approach 2:
The patent changes speed information parameters based on vehicle type. The server adjusts speed limits, average speeds, and timing parameters according to the specific vehicle type, thereby improving accuracy without significantly increasing processing time, as the parameter adjustments are applied through efficient data processing rather than complex calculations.
Data Source
AI summary
A method for providing vehicle information, which is carried out using a server, includes steps of: receiving vehicle attribute information including a vehicle type and GPS trajectory information from a vehicle, storing the vehicle attribute information and the GPS trajectory information for each vehicle type based on the vehicle attribute information, generating specialized traffic information associated with a specialized vehicle type needing the specialized traffic information and generating normal traffic information associated with a normal vehicle type, and providing the specialized vehicle type with directions information based on the specialized traffic information, when a current situation is a special situation, and otherwise providing the normal vehicle type with directions information based on the normal traffic information.