Traffic Light Timing Using ADV Arrival Prediction
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Solution Overview
Problem
Autonomous driving vehicles (ADVs) face challenges in optimizing traffic flow at intersections due to the lack of real-time data integration with traditional density-based traffic light control systems, which can lead to inefficiencies and delays.
Innovation Solution
A system that communicates vehicle information from ADVs to a traffic light control system, allowing for predictive adjustments in traffic signal timing based on the vehicle's location and heading, thereby optimizing traffic flow by anticipating the arrival of ADVs at intersections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional density-based traffic light control systems are used, then the system structure is simple, but the traffic flow optimization is insufficient due to lack of real-time ADV data integration
Solution Approach 1:
The patent introduces a traffic light control system as an intermediary component that receives real-time location and heading data from ADVs, processes this information, and adjusts traffic signal timing accordingly. This mediator enables integration between ADVs and traditional traffic light systems without requiring complete system restructuring, thus improving traffic flow optimization while maintaining reasonable system complexity.
Solution Approach 2:
The system implements a feedback mechanism where ADV location and heading information is continuously transmitted to the traffic light control system, which then adjusts signal timing based on this feedback. This closed-loop feedback enables dynamic optimization of traffic flow by responding to real-time ADV movements and predictions.
2Loss of time
If fixed time delay traffic light control is used, then the control logic is simple, but delays occur because it cannot anticipate ADV arrivals
Solution Approach 1:
The traffic light control system performs preliminary actions by receiving and processing ADV location and heading data to predict future arrivals at intersections. Based on these predictions, the system proactively adjusts traffic signal timing before ADVs arrive, eliminating unnecessary delays and optimizing traffic flow in advance.
3Productivity
If real-time ADV data integration is implemented, then traffic flow efficiency improves, but the information processing requirements increase
Solution Approach 1:
The system extracts only the essential and relevant information from ADV data streams - specifically location and heading data needed for arrival prediction. By selectively extracting only the critical parameters rather than processing all available ADV information, the system achieves effective traffic flow optimization while minimizing information processing requirements.
Data Source
AI summary
In one embodiment, a system receives vehicle information from one or more ADVs. The system determines a location and a heading of each ADV from the vehicle information of the ADV. For each of the ADVs, the system determines if the ADV is approaching a traffic light junction based on the location and the heading of the ADV. The system sends the vehicle information of the ADVs to a traffic light control system in response to determining the ADV is approaching the traffic light junction, where the vehicle information is used by the traffic light control system to direct a traffic flow at the traffic light junction, including adjusting a time duration of a light signal at one or more traffic lights disposed at the traffic light junction in advance of the ADVs arriving at the traffic light junction.