Truck and Driver data can be analyzed for prediction

Introduction

This article explains on how the truck and driver information can be stored as ML model and can be used for analysis and predictions

Topic

This idea can be useful for organizations that do delivery using trucks.  We can store the truck location information and driver mileage data and use the charting capabilities of HANA and SageMaker to come up with statistics and predictions

Data structures

Truck location data can have the following fields for example:

Truckid, DriverId, Latitude, Longitude, Event, Velocity

Driver data can have the following fields:

DriverId, TotalMilesdriven

 

Then we can see who is the most risky driver and most safe driver by using the above data.  Most risky could be the drivers who have more number of abnormal events per miles driven and safe driver would have the less

abnormal events.

Points of Interest

SAP HANA and Amazon SageMaker can be used to build in the data models and charts for the above.

History

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