Smart Highway Routing for Real-Time Congestion and Collision Avoidance
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Solution Overview
Problem
Current solutions for traffic congestion and vehicle accidents, such as expanding road infrastructure and satellite-based navigation systems, are inadequate as they fail to optimize and regulate traffic relative to existing infrastructure and do not effectively predict or prevent traffic jams and accidents.
Innovation Solution
A computerized method and system that continuously monitors traffic and adjusts vehicle routes in real-time by changing or replacing them to avoid congestion and imbalance at or near junctions, using a network of road units and mobile units with ID tags and receivers to provide efficient routing and collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If road infrastructure is expanded to increase traffic load capacity, then traffic congestion is temporarily relieved, but land reserves are limited and environmental impact increases
Solution Approach 1:
The system dynamically adjusts traffic routing in real-time based on congestion levels, traffic patterns, and road conditions. The central computer continuously monitors traffic flow and modifies vehicle routes dynamically, transforming the static road infrastructure into a dynamic system that adapts to changing traffic demands without requiring physical expansion.
Solution Approach 2:
The system changes traffic flow parameters by redirecting vehicles to alternative routes, adjusting speed recommendations, and modifying traffic patterns through the smart routing system. This allows the existing infrastructure to handle variable traffic loads by changing operational parameters rather than physical capacity.
2Ease of operation
If satellite-based navigation systems are used to provide routing assistance, then vehicle navigation is improved, but the system fails to predict traffic jams and prevent accidents
Solution Approach 1:
The system implements continuous feedback loops where the central computer receives real-time data from road units, mobile units, and traffic sensors, processes this information, and provides updated routing recommendations. This feedback mechanism enables the system to predict traffic jams and potential accidents by analyzing patterns in the incoming data and adjusting routes proactively.
Solution Approach 2:
The system performs preliminary actions by predicting traffic congestion and accident risks before they occur, then proactively redirecting vehicles to alternative routes. The central computer analyzes traffic patterns and sends advance warnings and route modifications to vehicles before they encounter problems, rather than reacting after issues arise.
Data Source
AI summary
A computerized method and system provide for vehicle routing by providing a route of travel for a vehicle to a destination point. The traffic is continuously monitored, and should the traffic become congested and/or unbalanced, at, proximate to, or beyond (downstream) a junction along the route of travel, the route of travel for the vehicle is modified by at least one of: 1) changing at least a portion of the route of travel of the vehicle; or, 2) replacing the route of travel of the vehicle with a new route of travel.