17943665. CLOUD-BASED STOP-AND-GO MITIGATION SYSTEM WITH MULTI-LANE SENSING simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
Contents
- 1 CLOUD-BASED STOP-AND-GO MITIGATION SYSTEM WITH MULTI-LANE SENSING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CLOUD-BASED STOP-AND-GO MITIGATION SYSTEM WITH MULTI-LANE SENSING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 How does the system determine the optimal reference speed for each vehicle?
- 1.10 What data sources are used to detect stop-and-go waves and activate mitigation strategies?
- 1.11 Original Abstract Submitted
CLOUD-BASED STOP-AND-GO MITIGATION SYSTEM WITH MULTI-LANE SENSING
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Yashar Zeiynali Farid of Mountain View CA (US)
Kentaro Oguchi of Mountain View CA (US)
CLOUD-BASED STOP-AND-GO MITIGATION SYSTEM WITH MULTI-LANE SENSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17943665 titled 'CLOUD-BASED STOP-AND-GO MITIGATION SYSTEM WITH MULTI-LANE SENSING
Simplified Explanation
The abstract describes a patent application for a cloud-based system that activates mitigation strategies to reduce stop-and-go traffic by controlling vehicle speed.
- Mitigation strategies are provided through a cloud-based system
- Control vehicle can activate and operate based on stop-and-go waves
- Mitigation strategy involves maintaining vehicle at a reference speed
Potential Applications
This technology could be applied in transportation systems, smart cities, and autonomous vehicles to improve traffic flow and reduce congestion.
Problems Solved
This technology addresses the issue of stop-and-go traffic, which can lead to inefficiencies, delays, and frustration for drivers.
Benefits
The benefits of this technology include smoother traffic flow, reduced fuel consumption, lower emissions, and improved overall driving experience.
Potential Commercial Applications
Optimizing traffic flow in urban areas Enhancing autonomous vehicle systems Improving transportation efficiency
Unanswered Questions
How does the system determine the optimal reference speed for each vehicle?
The abstract does not provide details on how the system calculates the reference speed for each vehicle based on stop-and-go waves.
What data sources are used to detect stop-and-go waves and activate mitigation strategies?
The abstract does not specify the data sources or sensors used to detect stop-and-go waves and trigger the mitigation strategies.
Original Abstract Submitted
Systems and methods are provided for activating mitigation strategies through a cloud-based system. Embodiments of the systems and methods disclosed herein can provide mitigation strategies to reduce or eliminate the stop-and-go traffic. A control vehicle can activate a mitigation strategy and operate the vehicle in accordance with the mitigation strategy based on stop-and-go waves. The mitigation strategy may comprise maintaining the vehicle at a reference speed.
