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  • Introduction
  • Integrating the SDK
    • Getting Started
    • Android Quick Start
      • 1. Including the SDK
      • 2. Initialization
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    • iOS Quick Start
      • 1. Including the SDK
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    • React Native Quick Start
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    • Flutter Quick Start
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    • What Comes After Integration
    • Integration (FAQ)
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  • Sentiance Insights
    • Overview of Sentiance Insights
      • Driving Insights
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  • FAQ
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  • Important topics
    • SDK
      • Appendix
        • Android
          • Android 10 Update Behavior
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          • Manifest Permissions
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        • iOS
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        • Controlled Detections
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          • Android
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        • React Native
          • core
            • Definitions
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            • Definitions
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            • Definitions
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            • Definitions
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          • legacy
            • Definitions
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            • Definitions
            • Examples
        • Flutter
      • Battery Optimization on Android
      • How To
        • Check the Location Permissions
        • Utilize the Event Timeline API
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      • Troubleshooting
        • Android
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      • Changelog
        • Android
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        • React Native
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    • Authentication and Authorization
    • User Creation (via Authentication Code)
    • User Deletion
    • PlayStore Location Access Review
    • Privacy Report & Dashboard
    • Crash Detection
    • Important Security Notice
    • Injecting Fake Data
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    • Merging Scores for Motorcycles and Cars
  • Links
    • SDK Standard License
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    • Technical & Organizational Measures
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On this page
  1. Sentiance Insights
  2. Overview of Sentiance Insights
  3. Driving Insights

Transports

Broadly speaking, our platform offers the following key features:

  1. Transport Mode Classification:

    • Automatically detects the mode of transportation used by the user (e.g., car, bicycle, train, etc.).

    • Provides exact start and stop times for each transport segment.

    • Supports consecutive transports in time, such as walking followed by taking a car.

    • Handles gaps in transports when the user stops moving for a certain time period.

  2. Map Matching of Transports:

    • Analyzes the transport mode and GPS locations to determine the most likely route taken on the map of available roads.

    • Enhances the accuracy of distance calculations for each transport by incorporating road network data.

    • Improves overall route understanding and ensures precise distance estimations compared to using GPS locations alone.

These features work in tandem to deliver comprehensive and reliable insights into user mobility behavior. By automatically detecting transport modes and accurately mapping the routes taken, our platform provides valuable information on user journeys, enabling businesses and users to make informed decisions and optimize their travel experiences.

Frequently Asked Questions (FAQs):

What transport modes are available on-device?

The on-device transport classifier supports the following modes: walk, bike, run, idle, car, motorbike, bus, train, and tram.

How are the map-matched trajectories computed on-device?

The on-device algorithm utilizes the raw waypoints received from the GPS module of the devices, which are pre-processed before being used. The distance between these waypoints is calculated as a straight-line distance, also known as a bird distance.

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Last updated 1 month ago