18605352. MANAGING A FLEET OF VEHICLES simplified abstract (WAYMO LLC)
Contents
MANAGING A FLEET OF VEHICLES
Organization Name
Inventor(s)
Christopher Kennedy Ludwick of Los Altos CA (US)
Andrew Hughes Chatham of San Francisco CA (US)
Matthew Paul Mcnaughton of Mountain View CA (US)
Charles Bigelow Johnson of Atherton CA (US)
MANAGING A FLEET OF VEHICLES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18605352 titled 'MANAGING A FLEET OF VEHICLES
Simplified Explanation: The patent application relates to determining the next task for a vehicle in a fleet based on vehicle data, charger data, and demand data. Predictions and heuristics are used to make these determinations.
- Vehicle data, charger data, and demand data are used to determine the next task for a vehicle in a fleet.
- Predictions are made using the collected data to assist in determining the next vehicle task.
- Heuristics are also utilized in the process of determining the next vehicle task.
- The vehicle is directed to the next task based on the analysis of the data.
Potential Applications: 1. Fleet management systems 2. Autonomous vehicle operations 3. Electric vehicle charging optimization
Problems Solved: 1. Efficient allocation of tasks for vehicles in a fleet 2. Optimal utilization of charging infrastructure 3. Improved planning and scheduling for vehicle operations
Benefits: 1. Increased efficiency in fleet operations 2. Reduced downtime for vehicles 3. Enhanced overall performance of the fleet
Commercial Applications: Optimizing fleet operations through data-driven decision-making
Questions about the Technology: 1. How does the patent application improve the efficiency of fleet operations? 2. What role do predictions and heuristics play in determining the next vehicle task?
Original Abstract Submitted
Aspects of the disclosure relate to determining a next vehicle task for a vehicle of a fleet. Vehicle data from the vehicle, charger data about at least one charger, and demand data may be received and used to determine the next vehicle task. The vehicle may be directed to the next vehicle task. Determining a next vehicle task may further be based on predictions made using the vehicle data, the charger data, and the demand data. Heuristics may also be used in determining a next vehicle task.
