Self-Organizing Traffic Control via V2V Priority Negotiation
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Solution Overview
Problem
Existing traffic control systems at intersections often lead to inefficiencies and potential conflicts due to reliance on fixed infrastructure, which can result in increased travel times and congestion, especially during peak hours.
Innovation Solution
A self-organizing traffic control system using vehicle-to-vehicle (V2V) communication to establish dynamic traffic control plans, where vehicles communicate to avoid conflicts and prioritize each other, allowing for real-time adjustments based on traffic conditions and vehicle priority status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed infrastructure traffic control systems are used, then traffic safety is improved, but travel time increases and congestion worsens during peak hours
Solution Approach 1:
The patent transforms static traffic light infrastructure into a dynamic system where vehicles autonomously negotiate priority through V2V communication. The traffic control plan is no longer fixed but adapts in real-time based on vehicle priority status, travel directions, and conflict zones, allowing priority vehicles to pass through intersections without stopping while maintaining safety through continuous coordination.
Solution Approach 2:
Vehicles equip themselves with traffic control capabilities through onboard systems that autonomously participate in priority negotiations. Each vehicle independently determines its priority status, identifies conflict zones, and engages in self-organized coordination with other vehicles, eliminating the need for centralized fixed infrastructure control while maintaining safety and reducing travel time.
2Reliability
If fixed infrastructure traffic control systems are used, then traffic safety is improved, but congestion increases during peak hours
Solution Approach 1:
The system dynamically adjusts traffic flow based on real-time conditions by allowing priority vehicles to negotiate passage through intersections. This creates a flexible traffic control mechanism that optimizes throughput during peak hours while maintaining safety through continuous V2V communication and coordination, unlike rigid fixed infrastructure systems.
Solution Approach 2:
Vehicles continuously exchange information about their priority status, position, and intended path through V2V communication. This feedback loop enables real-time adjustment of traffic control plans, allowing the system to respond to changing traffic conditions and optimize flow efficiency while maintaining safety through ongoing coordination among all participating vehicles.
3Ease of operation
If traditional infrastructure-based traffic control is used, then coordination is simplified, but dependency on infrastructure increases and flexibility decreases
Solution Approach 1:
Vehicles autonomously perform traffic coordination functions through onboard systems that independently negotiate priority and exchange control information. This self-service approach eliminates dependency on fixed infrastructure while maintaining coordinated operation through distributed V2V communication, providing both operational simplicity and high adaptability to various traffic scenarios.
Solution Approach 2:
The V2V communication system serves multiple functions simultaneously: priority negotiation, conflict zone identification, traffic control plan generation, and real-time coordination. This multi-functional approach replaces the need for specialized fixed infrastructure components while providing greater flexibility and adaptability across different traffic conditions and vehicle types.
Data Source
AI summary
Methods and software for managing vehicle priority proximate to a potential travel-priority conflict zone, such as a roadway intersection, where travel conflicts, such as crossing traffic, can arise. Coordination involves forming an ad-hoc network in a region containing the conflict zone using, for example, vehicle-to-vehicle communications and developing a dynamic traffic control plan based on information about vehicles approaching the conflict zone. Instructions based on the dynamic traffic control plan are communicated to devices aboard vehicles in the ad-hoc network, which display one or more virtual traffic signals to the operators of the vehicles and/or control the vehicles (for example, in autonomous vehicles) in accordance with the dynamic traffic control plan, which may account for a priority level associated with one or more of the vehicles.