Real-Time Traffic Information Synthesis for Route Customization
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Solution Overview
Problem
Current IT tools for vehicle drive assistance fail to provide concise and intelligible real-time traffic information, limiting user customization and requiring user interaction for route choices.
Innovation Solution
A data processing method that synthesizes customized traffic information in real-time using a distributed system, including a client device and a server connected to databases, which generates a concise traffic newscast by analyzing topological graphs, traffic data, and user preferences to provide optimized route suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current IT tools provide real-time traffic information, then users receive traffic updates, but the information is not concise and intelligible enough for quick decision-making
Solution Approach 1:
The patent segments traffic information into hierarchical levels (critical, important, optional) and presents only the most relevant segments to the user based on their situation, thereby reducing information overload while maintaining intelligibility
Solution Approach 2:
The system dynamically changes information parameters (level of detail, presentation format) based on user context such as time of day, current location, and travel preferences, optimizing both conciseness and intelligibility for different scenarios
2Adaptability or versatility
If current IT tools provide route information, then users receive route suggestions, but customization possibilities are limited and require user interaction
Solution Approach 1:
The system automatically synthesizes customized traffic information by self-adjusting to user preferences and contextual factors without requiring explicit user interaction, achieving both high customization and automation
Solution Approach 2:
The system incorporates feedback loops that learn from user behavior patterns and automatically adjust information presentation and route suggestions, enhancing customization while reducing the need for direct user input
3Loss of time
If current IT tools provide traffic information, then users receive updates, but the information is not provided in good time for drive and route choices
Solution Approach 1:
The system performs preliminary analysis of traffic patterns and predicts future conditions, providing users with advance information that enables timely route decisions before traffic situations deteriorate
Solution Approach 2:
The information system dynamically adapts its update frequency and timing based on real-time traffic volatility and user proximity to decision points, ensuring information arrives at the optimal moment for each specific situation
Data Source
AI summary
A data processing method (100) for synthesizing in real time customized traffic information for a user who wants to reach a destination position from a departure position, the data processing method (100) comprising the steps of: —obtaining (103) data which define a topological graph, said topological graph being an oriented graph containing information on the connection between segments of a road network, said topological graph comprising nodes which represent points of connection between two adjacent segments and arcs which connect nodes and which correspond to road or carriageway segments; —generating (104) data which define a routes graph (Gp), the routes graph (Gp) being a subset of the topological graph, having a departure node (10) associated with the departure position, a destination node (20) associated with the destination position, intermediate nodes between the departure node (10) and the destination node (20), arcs (1-5) which connect the nodes of the routes graph to one another, the generating step (104) comprising an operation of identifying on the routes graph a plurality of alternative routes which extend from the departure node (10) to the destination node (20) of the routes graph passing through intermediate nodes and arcs of the routes graph (Gp); —noting (105) traffic and/or weather data on the routes graph (Gp) and obtaining data adapted to define an annotated routes graph; —obtaining (106) data adapted to define a simplified routes graph reducing the number of intermediate nodes of the annotated routes graph by defining aggregate segments as sequences of arcs of the same alternative route which meet one or more homogeneity criteria of the traffic and/or weather data.