20240054890. FLEET TRACKING AND BEHAVIOR MODIFICATION IN GEOGRAPHIC AREAS OF INTEREST simplified abstract (Populus Technologies, Inc.)

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FLEET TRACKING AND BEHAVIOR MODIFICATION IN GEOGRAPHIC AREAS OF INTEREST

Organization Name

Populus Technologies, Inc.

Inventor(s)

Regina Ruby Lee Clewlow of San Francisco CA (US)

Fletcher Scott Foti of Oakland CA (US)

FLEET TRACKING AND BEHAVIOR MODIFICATION IN GEOGRAPHIC AREAS OF INTEREST - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240054890 titled 'FLEET TRACKING AND BEHAVIOR MODIFICATION IN GEOGRAPHIC AREAS OF INTEREST

Simplified Explanation

The patent application describes a mobility management system that acts as an intermediary between mobility operators and governing entities to manage vehicle behavior in a geographic region.

  • The system receives historical vehicle data, including GPS locations, from mobility operators.
  • It calculates aggregate behavior metrics for the vehicles based on the data.
  • If the behavior metrics exceed certain thresholds, the system suggests behavior modifications for the vehicles or operators.
  • The system can also train a machine-learned model using the historical data to predict the number and behavior of vehicles in the region at a specific time.
  • If the current number or behavior of vehicles meets governing criteria, the system adjusts vehicle rules accordingly.
      1. Potential Applications

- Transportation management systems - Fleet management systems - Smart city initiatives

      1. Problems Solved

- Ensuring compliance with governing rules and regulations - Improving overall behavior and efficiency of fleet vehicles - Predicting and managing traffic flow in a geographic region

      1. Benefits

- Enhanced monitoring and control of vehicle behavior - Increased efficiency and safety in transportation systems - Data-driven decision-making for mobility operators and governing entities


Original Abstract Submitted

systems and methods are disclosed herein for a mobility management system that serves as a data processing intermediary between mobility operators and governing entities that define rules associated with vehicle behavior occurring in a geographic region. the system receives from a mobility operator historical vehicle data including gps locations for fleet vehicles within the geographic region. the system determines aggregate behavior metrics for the vehicles using the behavior data. if the aggregate behavior metrics exceed one or more behavior thresholds for a specified time period, the system generates one or more suggested behavior modifications for the vehicles or mobility operators. moreover, the historical vehicle data may be used to train a machine-learned model to predict a number and behavior of vehicles within the geographic region at a specific time, and if the current number or behavior of vehicles satisfies pre-determined governing criteria, the system modifies one or more vehicle rules.

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