Route Processor Combining Real-Time and Likelihood Data
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Solution Overview
Problem
Traditional map-based routing systems face limitations as real-time information is less useful for longer or more complex trips, while statistical likelihoods fail to account for unusual traffic changes, and vice versa.
Innovation Solution
A system and method that combines real-time and likelihood information by using a route processor to adjust real-time data with historical probability-based routing information, providing a more accurate route recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time information is used for routing, then routing accuracy for short trips is improved, but routing reliability for long or complex trips deteriorates
Solution Approach 1:
The patent combines real-time traffic information with historical likelihood information into a unified routing system. The route processor integrates both data sources, weighting real-time information for immediate accuracy and historical data for long-term reliability, especially for complex multi-leg trips where real-time data alone becomes less reliable.
2Reliability
If statistical likelihood information is used for routing, then routing reliability for long trips is improved, but adaptability to unusual traffic changes deteriorates
Solution Approach 1:
The routing system dynamically adjusts the weight given to real-time versus historical information based on trip characteristics. For short trips, real-time information is weighted heavily for immediate adaptability. For long or complex trips, historical likelihood information is weighted more heavily for reliability, while still incorporating real-time updates when available, creating a dynamic balance between reliability and adaptability.
3Speed
If only real-time information is used, then responsiveness to current traffic conditions is improved, but usefulness for complex multi-leg trips deteriorates
Solution Approach 1:
The system performs preliminary routing planning using historical likelihood information for complex multi-leg trips, establishing a reliable baseline route structure in advance. Real-time information is then overlaid on this pre-planned structure, maintaining responsiveness to current conditions while ensuring the overall route structure remains reliable for complex journeys that require advance planning.
Data Source
AI summary
A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map/map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.