Traffic Synchronization Controllers for Dynamic Flow Optimization
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Solution Overview
Problem
Modern transportation systems face congestion issues due to increased vehicle demand, leading to inefficiencies such as long delays, high fuel costs, pollution, and driver stress, particularly in metropolitan areas during peak times and special events, where existing traffic controls fail to optimize traffic flow effectively across varying conditions.
Innovation Solution
A system and method utilizing vehicle information agents and traffic synchronization controllers to collect and transmit data on vehicle progress, calculating optimal traffic flow and dynamically adjusting traffic control devices such as lights and signs to facilitate efficient traffic movement within a region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional fixed traffic controls are used, then system simplicity is maintained, but traffic flow optimization fails during varying conditions and time periods
Solution Approach 1:
The traffic control system transitions from fixed, static control parameters to dynamic, real-time adjustment based on actual traffic conditions. Traffic synchronization controllers continuously receive vehicle data and modify signal timing, phase sequences, and control states adaptively to match current traffic demand patterns.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring traffic conditions through vehicle information agents, processing this data through traffic synchronization controllers, and adjusting traffic control device states accordingly. This feedback mechanism enables the system to respond to changing traffic patterns and optimize flow in real-time.
2Loss of time
If real-time traffic optimization is implemented, then traffic efficiency improves, but system complexity and infrastructure requirements increase
Solution Approach 1:
The traffic control system is divided into discrete, modular components including vehicle information agents in individual vehicles, local traffic synchronization controllers at specific intersections or regions, and distributed traffic control devices. This segmentation allows incremental deployment and reduces overall system complexity while enabling real-time optimization.
Solution Approach 2:
Traffic synchronization controllers are designed to handle multiple functions including receiving data from various vehicle sources, processing different types of traffic information, generating optimized control strategies, and communicating with diverse traffic control devices. This multi-functionality reduces the need for specialized components for each function.
Data Source
AI summary
A system and method for self-optimizing traffic flow using shared vehicle information that utilizes multiple controllers in dynamic communication to optimize the flow of traffic. The system and method utilizes one or more traffic synchronization controllers (TSCs) (receivers) that receive information from one or more vehicle based transmitters called vehicle information agents (VIAs) and/or a network of traffic control devices (TCDs) associated with the traffic synchronization controllers to determine a variety of information related to traffic within a geographic region, including volume, speed, destination, intended route of the vehicle, as well as other vehicle related information, in order to determine the optimal flow of traffic within the region. The system and method then transmits traffic control signals to the various traffic control devices within the region or adjacent regions in order to optimally control the flow of traffic. The system and method may also share information amongst traffic synchronization controllers within the network in order to optimize the flow of traffic over a larger region.