Knowledge

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MapGPT taps into Mapbox' proprietary map data layers, which encompasses essential geographic information such as road networks, points of interest, addresses, and real-time traffic data. These data layers serve as the foundation for MapGPT's location-aware interactions, ensuring accurate and contextually relevant responses.

Suppose a user asks, "Where's the nearest station?", "How's the traffic ahead?", or "What can you tell me about this city?". In such cases, the AI assistant adeptly determines if the user is seeking a charging or fuel station, offers current traffic updates, or unveils hidden facets of a city you thought you knew inside out. As well as provide interesting facts or stories as a source of conversation, entertainment, and utility.

What is sent to MapGPT?

The data sent to MapGPT can be categorized into five main contexts: App, User, Vehicle, Route, and EV. Each of these contexts contains specific details that aid MapGPT in understanding and efficiently processing requests. This data is notably adaptable, allowing customization and expansion based on customer requirements. Contact sales for information.

Full context overview

Context	Description
App	Details about the application, such as localization preferences, battery status, and more.
User	Information about the user's current location, point of interest, and prevailing weather conditions.
Vehicle	Specifics about the user's vehicle including type, battery status, and current conditions within the vehicle.
Route	Data about the active navigation route, such as ETA, distance remaining, and potential alternate routes.
EV	Details about electric vehicles, primarily focused on nearby charging stations.

App context

Context	Description
Locale	The language and regional settings of the application.
Temperature units	Measurement units (e.g., Celsius or Fahrenheit) used for temperature display.
Distance units	Measurement units (e.g., Kilometers or Miles) used for distance display.
Client time	Current time from the application's perspective.
Timezone	The timezone in which the application is operating.
Battery level	Percentage indicating the application device's remaining battery life.
Map context	Features and bounds of the current map display.
Volume level	Audio output level for the application.
Media	Active media context, like now playing song or media state.

User context

Context	Description
Location coordinates	Coordinates used for reverse geocoding, and searching nearby places.
Feature text	Descriptive text associated with the user's current location or point of interest.
Place name	Recognizable name or title of the user's location or destination.
Weather forecast	Predicted weather conditions for the user's location.

Vehicle Context

Context	Description
Fuel	Type of fuel or energy source the vehicle uses. Examples are gasoline, diesel, biodiesel, electric, hydrogen, and hybrid.
Name	Model or designation of the vehicle.
Battery level	For electric and hybrid vehicles, the percentage of battery remaining.
Drive mode	Current gear setting of the vehicle. Examples include parking, drive, and reverse.
HVAC temperature	The set temperature of the vehicle.
AC status	Active status of the air conditioning system (e.g., on, off).

Route Context

Context	Description
Active	Indicates when the navigation experience is following turn-by-turn guidance.
ETA	Predicted time of arrival to the current waypoint.
Time left	Duration remaining to reach the route destination.
Distance left	Distance remaining to reach the route destination.
Max congestion	Highest congestion level on the current route.
Typical duration	Usual travel time for the current route under normal conditions.
Alternate routes	Available alternative routes to the current destination.
Speed	Current speed of the vehicle.
Speed limit	Maximum permissible speed for the current road segment.
Origin & destination	Start and end points of the current route.

EV Context

Context	Description
Nearby stations	A list of nearby charging stations and their information, useful for electric vehicles.

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