Adaptive Traffic Control Using Vehicle-State Routing Feedback
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Solution Overview
Problem
Contemporary traffic management systems fail to optimize traffic flow efficiently, leading to unnecessary vehicle slowdowns or stops due to static signs and timed signals, and do not effectively utilize vehicle communication systems to manage congestion or reward cooperative vehicle behavior.
Innovation Solution
An adaptive traffic management system that uses refined location and state information from vehicles to provide customized dynamic traffic control instructions, allowing for optional route alternatives, dynamic re-routing, and interactive traffic control devices to manage traffic flow, reduce congestion, and incentivize cooperative behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static traffic signs and timed signals are used, then traffic control is simple and reliable, but traffic flow efficiency deteriorates and unnecessary vehicle slowdowns occur
Solution Approach 1:
The patent transforms static traffic signs and timed signals into dynamic, adaptive traffic control devices that can change their behavior in real-time based on actual traffic conditions. The system uses vehicle sensor data to dynamically adjust traffic signal timing and routing instructions, allowing the traffic control system to adapt to changing traffic patterns rather than following fixed schedules.
Solution Approach 2:
The system implements a feedback mechanism where vehicle sensors continuously provide real-time traffic condition data to the traffic control system. This feedback loop enables the system to monitor actual traffic flow, congestion levels, and vehicle positions, then adjust traffic signal timing and routing recommendations accordingly to optimize traffic flow efficiency.
2Adaptability or versatility
If traditional timed traffic signals are used, then system complexity is low, but traffic congestion management capability deteriorates
Solution Approach 1:
The traffic control system is designed with multi-functionality, serving both traditional traffic signal control and advanced congestion management functions. The same infrastructure handles basic traffic signal timing while simultaneously processing vehicle sensor data, generating dynamic routing instructions, and providing real-time traffic optimization, eliminating the need for separate specialized systems.
Solution Approach 2:
The system introduces an intermediary layer between vehicles and traffic signals in the form of a communication network and processing system. This intermediary receives sensor data from vehicles, processes the information to determine optimal traffic control strategies, and transmits control instructions back to traffic signals and vehicle displays, enabling sophisticated congestion management without direct vehicle-to-signal complex interactions.
3Productivity
If dynamic routing instructions are provided to all vehicles, then traffic flow optimization improves, but communication system load increases
Solution Approach 1:
Instead of providing uniform routing instructions to all vehicles, the system applies local quality by tailoring routing recommendations to specific vehicles based on their individual sensor data, current positions, and traffic conditions. Each vehicle receives customized instructions relevant to its specific situation rather than blanket recommendations, optimizing traffic flow while reducing unnecessary communication overhead.
Solution Approach 2:
The system implements partial action by providing dynamic routing instructions selectively to vehicles that would benefit most from them, rather than to all vehicles. The traffic control system identifies which vehicles are in congestion-prone areas or have suboptimal routes and provides targeted routing recommendations only to those vehicles, reducing overall communication load while maintaining traffic optimization benefits.
Data Source
AI summary
Various embodiments include methods and interactive traffic control devices for interactively controlling traffic, which may include receiving refined location and state information associated with individual vehicles on a roadway, and determining customized dynamic traffic control instructions for a first one or more of the individual vehicles. The determined customized dynamic traffic control instructions may be based on the received refined location and state information and offer an optional route alternative to a set limited number of the individual vehicles. The first customized dynamic traffic control instructions may be transmitted by the interactive traffic control device to the first one or more of the individual vehicles.