Intersection-Specific Route Optimization Using Real-Time Traffic Data
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Solution Overview
Problem
Current navigational systems fail to provide drivers with real-time, accurate route choices based on intersection-specific traffic conditions, neglecting parameters like traffic flow rates, pedestrian counts, and time delays, which limits their ability to optimize travel routes effectively.
Innovation Solution
A method and device that identify intersections along an initial route, modify it based on user preferences and real-time traffic conditions, and continuously update the route selection using data from smart traffic cameras and sensors to account for per-intersection traffic data, ensuring optimal navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current navigational systems provide route selection based on basic parameters (fuel economy, travel time, congestion), then the system complexity is low, but the measurement precision and reliability of route optimization are insufficient
Solution Approach 1:
The patent segments the navigation system into multiple independent modules: intersection detection module, traffic condition data collection module (with multiple sub-components for different data types), route modification module, and route recommendation module. This segmentation allows each module to handle specific tasks with high precision without increasing overall system complexity, as modules can be developed and maintained independently.
Solution Approach 2:
The patent transitions from traditional 2D map-based navigation to a multi-dimensional approach by incorporating vertical intersection layers, multiple data dimensions (traffic flow, pedestrian count, vehicle types, signal timing), and time dimensions (real-time and historical data). This dimensional expansion enables more precise route optimization without proportionally increasing system complexity through structured data organization.
2Reliability
If the system collects comprehensive traffic information from multiple sources (mobile devices, roadside devices, cameras), then the reliability of navigation data improves, but the difficulty of detecting and measuring traffic conditions increases
Solution Approach 1:
The patent implements a universal data collection framework where a single communication interface and processing architecture can handle multiple data types from diverse sources (mobile devices, roadside detectors, cameras, sensors). This multi-functional system reduces the difficulty of detecting and measuring various traffic parameters by providing a unified approach rather than separate systems for each data type.
Solution Approach 2:
The patent introduces intermediary components including communication interfaces that standardize data exchange between heterogeneous sources, and processing modules that act as mediators between raw data collection and route optimization. These intermediaries simplify the detection and measurement process by providing standardized protocols and abstraction layers.
3Productivity
If the system provides real-time route modifications based on multiple traffic parameters, then the productivity of traffic flow optimization improves, but the loss of time for data processing and route calculation increases
Solution Approach 1:
The patent performs preliminary actions by pre-identifying intersections along possible routes, pre-collecting and organizing traffic condition data from multiple sources, and pre-processing the data into standardized formats before route calculation is needed. This preliminary preparation significantly reduces the time required for actual route optimization while maintaining high productivity in traffic flow management.
Solution Approach 2:
The patent implements feedback mechanisms where real-time traffic condition data from intersections is continuously monitored and fed back into the route optimization system. This feedback loop enables the system to make rapid, informed route modifications based on current conditions, improving traffic flow optimization productivity without excessive calculation time because the system only processes relevant updated data.
4Measurement precision
If the system considers multiple intersection-specific parameters (traffic flow rates, pedestrian counts, vehicle types, time delays), then the measurement precision of traffic conditions improves, but the device complexity for data collection and processing increases
Solution Approach 1:
The patent segments the data collection system into specialized sub-components for different parameter types: traffic flow detection devices, pedestrian counting devices, vehicle type classification devices, and signal timing measurement devices. Each segmented component focuses on measuring specific parameters with high precision, avoiding the complexity of a single monolithic system that must handle all parameters simultaneously.
Solution Approach 2:
The patent organizes multiple intersection-specific parameters into structured data dimensions and categories, transforming complex multi-parameter measurement into organized dimensional data. This dimensional organization allows the system to handle diverse parameters (traffic flow, pedestrians, vehicles, timing) systematically, reducing processing complexity while maintaining measurement precision.
Data Source
AI summary
A traffic control system and a method for optimizing navigational routing based on per-intersection real-time traffic conditions data. One aspect is a method of providing navigational guidance. The method includes identifying at least one intersection along at least one initial route to a destination; modifying the at least one initial route based on user preferences and traffic conditions data associated with the at least one intersection to yield at least one modified route; receiving a selection of a route from among the at least one modified route; receiving updated traffic conditions data for at least one corresponding intersection along the route selected; and modifying the route selected based on the updated traffic conditions data.