> For the complete documentation index, see [llms.txt](https://docs.sentiance.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sentiance.com/sentiance-insights/overview-of-sentiance-insights/driving-insights/transports.md).

# 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.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.sentiance.com/sentiance-insights/overview-of-sentiance-insights/driving-insights/transports.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
