Lyft, Inc. (20240344835). SYSTEMS AND METHODS FOR AUTONOMOUS VEHICLE PERFORMANCE EVALUATION simplified abstract
Contents
SYSTEMS AND METHODS FOR AUTONOMOUS VEHICLE PERFORMANCE EVALUATION
Organization Name
Inventor(s)
Kumar Hemachandra Chellapilla of Mountain View CA (US)
Emilie Jeanne Anne Danna of Sunnyvale CA (US)
David Tse-Zhou Lu of Menlo Park CA (US)
Sameer Qureshi of Sunnyvale CA (US)
Alexis Weill of San Francisco CA (US)
SYSTEMS AND METHODS FOR AUTONOMOUS VEHICLE PERFORMANCE EVALUATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240344835 titled 'SYSTEMS AND METHODS FOR AUTONOMOUS VEHICLE PERFORMANCE EVALUATION
Simplified Explanation: The patent application describes a system that can determine the best route for a transportation request by comparing a route for a non-autonomous vehicle with a route for an autonomous vehicle. The system then assigns an autonomous vehicle to fulfill the transportation request based on the selected route.
- Key Features and Innovation:
* Determining routes for transportation requests based on vehicle autonomy levels. * Selecting the best route for a transportation request by comparing performance metrics. * Assigning autonomous vehicles to fulfill transportation requests efficiently.
Potential Applications: This technology can be applied in ride-sharing services, delivery services, and public transportation systems to optimize route selection and vehicle assignment.
Problems Solved: This technology addresses the challenge of efficiently assigning vehicles to transportation requests based on their autonomy levels and performance metrics.
Benefits: The system can improve the efficiency of transportation services, reduce travel times, and enhance overall customer satisfaction.
Commercial Applications: Optimizing route selection and vehicle assignment in ride-sharing services can lead to cost savings, improved service quality, and increased customer loyalty.
Prior Art: Prior art related to this technology may include research on route optimization algorithms, autonomous vehicle fleet management systems, and transportation logistics solutions.
Frequently Updated Research: Stay updated on advancements in autonomous vehicle technology, route optimization algorithms, and transportation management systems to enhance the efficiency and effectiveness of this technology.
Questions about Autonomous Vehicle Route Optimization: 1. How does this technology impact the overall efficiency of transportation services? 2. What are the key factors considered when selecting the best route for a transportation request?
Original Abstract Submitted
systems, methods, and non-transitory computer-readable media can receive transportation information associated with a transportation request, the transportation information comprising a pick up location and a drop off location. a first route associated with the transportation request and a non-autonomous vehicle can be determined. a second route associated with the transportation request and an autonomous vehicle can be determined based on an operating design domain (odd) associated with one or more autonomous vehicles in a fleet of vehicles. at least one performance metric associated with the second route can be determined. the second route can be selected based at least in part on the at least one performance metric and a comparison of the first route and the second route. an autonomous vehicle from the fleet of vehicles can be assigned to the transportation request based on selection of the second route.
