Waymo llc (20240217510). TRAFFIC SIGNAL RESPONSE FOR AUTONOMOUS VEHICLES simplified abstract
Contents
TRAFFIC SIGNAL RESPONSE FOR AUTONOMOUS VEHICLES
Organization Name
Inventor(s)
Jens-Steffen Ralf Gutmann of Cupertino CA (US)
Andreas Wendel of Mountain View CA (US)
Nathaniel Fairfield of Mountain View CA (US)
Dmitri A. Dolgov of Los Altos CA (US)
Donald Jason Burnette of Mountain View CA (US)
TRAFFIC SIGNAL RESPONSE FOR AUTONOMOUS VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240217510 titled 'TRAFFIC SIGNAL RESPONSE FOR AUTONOMOUS VEHICLES
The abstract of the patent application discusses aspects related to determining whether a vehicle should continue through an intersection. For example, the vehicle's computers can identify when the traffic signal light will turn from yellow to red and estimate the vehicle's location at that time. Based on the estimated location of the vehicle in relation to a starting point of the intersection, the computers can decide if the vehicle should proceed through the intersection.
- The vehicle's computers can predict when the traffic signal light will change from yellow to red.
- The computers estimate the vehicle's location at the time of the signal change.
- A starting point of the intersection is identified for reference.
- By comparing the estimated location of the vehicle to a threshold distance past the starting point, the computers determine if the vehicle should continue through the intersection.
Potential Applications: - Autonomous vehicles navigation systems - Traffic management systems - Safety systems for vehicles at intersections
Problems Solved: - Enhancing safety at intersections - Improving traffic flow efficiency - Providing decision-making support for vehicles
Benefits: - Reduced risk of accidents at intersections - Optimized traffic flow - Enhanced efficiency in vehicle navigation
Commercial Applications: Title: "Smart Intersection Management System" This technology could be utilized by companies developing autonomous vehicles, traffic control systems, and smart city infrastructure projects. It has the potential to revolutionize how vehicles interact at intersections, leading to safer and more efficient traffic flow.
Questions about the technology: 1. How does this technology improve overall traffic safety at intersections? - This technology enhances safety by providing vehicles with real-time data to make informed decisions about proceeding through intersections, reducing the risk of accidents. 2. What are the potential implications of this technology on urban planning and infrastructure development? - This technology could influence the design of intersections and traffic management systems in urban areas, leading to more efficient and safer transportation networks.
Original Abstract Submitted
aspects of the disclosure relate to determining whether a vehicle should continue through an intersection. for example, the one or more of the vehicle's computers may identify a time when the traffic signal light will turn from yellow to red. the one or more computers may also estimate a location of a vehicle at the time when the traffic signal light will turn from yellow to red. a starting point of the intersection may be identified. based on whether the estimated location of the vehicle is at least a threshold distance past the starting point at the time when the traffic signal light will turn from yellow to red, the computers can determine whether the vehicle should continue through the intersection.
