Dynamic Route Delivery System for Traffic Obstacle Handling
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Solution Overview
Problem
Existing route direction systems, such as those using Autonomous Navigation Units (ANU), often provide outdated directions that do not account for recent traffic obstacles like road closures or congestion, leading to suboptimal navigation for vehicle users.
Innovation Solution
A method and system that dynamically determines optimal routes by receiving current vehicle and point of interest locations, accessing both ANU and navigation server directions, and notifying users of traffic obstacles, offering updated route alternatives via a wireless network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Autonomous Navigation Unit directions are used, then navigation is provided without real-time traffic updates, but route accuracy deteriorates due to outdated traffic information
Solution Approach 1:
The system implements feedback by continuously monitoring traffic conditions through multiple sources (navigation servers, user reports, traffic sensors) and comparing them against the stored ANU directions. When traffic obstacles are detected, the system feeds back updated route information to users, ensuring route accuracy is maintained despite using pre-stored ANU directions.
Solution Approach 2:
The system performs preliminary actions by pre-storing multiple alternative routes in the database before users need them. When traffic obstacles are detected, these pre-prepared alternative routes can be immediately provided to users without requiring real-time route calculation, thus maintaining route accuracy while reducing response time.
2Loss of information
If multiple route direction sources are integrated, then route information completeness is improved, but system complexity increases
Solution Approach 1:
The system introduces an intermediary component - a traffic monitoring and route comparison module - that sits between multiple route direction sources (ANU, navigation servers, user reports) and the user. This intermediary standardizes data from different sources, compares them systematically, and presents unified route information, thereby improving completeness while managing complexity through modular architecture.
3Reliability
If real-time traffic monitoring is implemented, then navigation reliability is improved, but information processing time increases
Solution Approach 1:
The system applies partial action by monitoring only critical traffic parameters (major obstacles, significant delays) rather than analyzing all traffic data in real-time. This selective monitoring approach maintains navigation reliability for important route decisions while reducing information processing time by focusing computational resources on key traffic factors that actually impact route selection.
Data Source
AI summary
A method and system for dynamic determination of optimal route delivery receives a point of interest location, a current vehicle location, and a date of first set of route directions from a telematics unit over a wireless network by a software application running on a navigation server. The application accesses the first set of route directions and a second set of route directions from a database located on a telematics service provider premises. Both the first and second set of route directions are between the current vehicle location and the point of interest. If there is a traffic obstacle along a route between the current vehicle location and the point of interest location and the traffic obstacle was implemented after the first set of directions, a live advisor sends a notification to a user and provides the user with an alternate method of delivering route directions over the wireless network.