Predictive Traffic Load Balancing via Cooperative Control
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Solution Overview
Problem
Current Intelligent Transportation Systems (ITS) fail to efficiently distribute traffic on complex urban networks, lacking the ability to apply predictive control and encourage high utilization of controlled car navigation, leading to inefficient traffic management and increased costs.
Innovation Solution
A system employing cooperative distributed model predictive control and robust privacy-preserving GNNS tolling concepts to dynamically assign efficient routes and encourage the use of path-controlled trips, integrating vehicle communication with traffic prediction and path planning layers for real-time traffic optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional ITS solutions are implemented for city-wide coverage, then infrastructure coverage is improved, but system complexity and cost increase significantly
Solution Approach 1:
The patent replaces traditional mechanical ITS infrastructure (physical sensors, traffic lights, communication systems) with a software-based navigation system that uses mobile devices and algorithms to provide traffic management functions. This substitution dramatically reduces infrastructure complexity while maintaining city-wide coverage through the existing network of mobile navigation users.
Solution Approach 2:
The navigation system performs multiple functions simultaneously: it provides route guidance to individual users, collects anonymized traffic flow data, predicts traffic conditions, and enables load balancing across the network. This multi-functionality eliminates the need for separate dedicated ITS infrastructure for each function, reducing overall system complexity.
2Area of stationary object
If traditional ITS solutions are implemented, then infrastructure coverage is improved, but cost increases significantly
Solution Approach 1:
The system leverages the existing mobile navigation applications and devices that users already have and use voluntarily. These self-service navigation tools collect their own location and route data, eliminating the need for costly deployment and maintenance of dedicated infrastructure sensors and communication systems across the entire city.
Solution Approach 2:
The patent changes the fundamental parameter of data collection from active sensing (using powered sensors and communication infrastructure) to passive data gathering from mobile devices. This parameter change transforms the system from infrastructure-intensive to user-device-intensive, dramatically reducing infrastructure costs while maintaining coverage.
3Productivity
If predictive control is applied to distribute traffic, then traffic efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary traffic prediction and route optimization before users need the information. By continuously analyzing traffic patterns and predicting future conditions, the system proactively suggests optimal routes in advance, enabling smooth traffic distribution without requiring complex real-time control interventions during congestion events.
Solution Approach 2:
The navigation system implements continuous feedback loops where anonymized location data from all users feeds into traffic prediction models, which then update route recommendations. This feedback mechanism enables adaptive traffic distribution that responds to changing conditions automatically, reducing the need for manual or complex centralized control systems.
Data Source
AI summary
Apparatuses, systems and methods applying an innovative non-discriminating and anonymous car related navigation driven traffic model predictive control, producing predictive load-balancing on road networks which dynamically assigns efficient sets of routes to car related navigation aids and which navigation aids may refer to in dash navigation or to smart phone navigation application. The system and methods are may enable, for example, to improve or to substitute commercial navigation service solutions, applying under such upgrade or substitution a new highly efficient proactive traffic control for city size or metropolitan size traffic.