Waymo llc (20240219192). MANAGING A FLEET OF VEHICLES simplified abstract
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 20240219192 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 guide the vehicle to its next task.
- Vehicle data, charger data, and demand data are used to determine the next task for a vehicle.
- Predictions based on the collected data help in deciding the next vehicle task.
- Heuristics are employed in the process of determining the next vehicle task.
Potential Applications: This technology can be applied in fleet management systems, autonomous vehicle operations, and logistics companies to optimize vehicle tasks and improve efficiency.
Problems Solved: 1. Efficient allocation of tasks to vehicles in a fleet. 2. Enhanced decision-making process for vehicle operations. 3. Improved utilization of resources based on data analysis.
Benefits: 1. Increased productivity and efficiency in fleet management. 2. Cost savings through optimized task allocation. 3. Enhanced performance and reliability of vehicle operations.
Commercial Applications: Optimizing fleet operations, improving logistics efficiency, and enhancing autonomous vehicle systems are potential commercial applications of this technology.
Questions about Vehicle Task Determination: 1. How does the use of predictions based on vehicle, charger, and demand data improve the efficiency of fleet operations? 2. What role do heuristics play in determining the next task for a vehicle in a fleet?
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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.
