Product overview and features

IBM® IoT Connected Vehicle Insights is a foundational real-time infrastructure platform that provides features to support emerging autonomous driving capabilities. IBM IoT Connected Vehicle Insights is a highly scalable and low-latency dedicated cloud computing offering.

By using IBM IoT Connected Vehicle Insights, you can build and manage fleet operations, monitor and improve driver behaviour, and much more.

IBM IoT Connected Vehicle Insights was previously named IoT for Automotive. Some code samples and resources for the offering might still refer to the former name.

The connected car

Cars are moving miniature data centers, and they have a multitude of onboard sensors that can capture and send data in real time. IBM IoT Connected Vehicle Insights can connect millions of cars and integrate big data from other sources, including weather systems, geographic map services, traffic systems, and more.

IBM IoT Connected Vehicle Insights supports the most common automotive data standards and communication message formats. For more information, see Supported standards and protocols. IBM IoT Connected Vehicle Insights also supports many use cases and provides services that can help automotive industries in the development and operation of world-leading connected car services.

Situational detection for vehicles, drivers, and environmental objects is available as soon as events occur to enable vehicle-to-everything (V2X) solutions, including vehicle-to-vehicle (V2V) communication through the cloud. The agent-based data cache and rule engine system provide high performance and low-latency access to vehicle-related data.

In terms of device enablement, IBM IoT Connected Vehicle Insights provides the following support.

Various types of devices. REST is the default configuration for incoming communications. Other protocols can be enabled through configuration and custom plugins. MQTT, Kafka and other CVI initializing communication can be used without any additional platform side configuration.
Customer specific use cases through process customization.
Vehicle and driver data management, through use of IBM Maximo Asset Management.

Analytics

The data analytic capabilities of IBM IoT Connected Vehicle Insights are vast and provide powerful insights about vehicles and their movement, drivers, and events in the surrounding environment. Historical and real time data analysis is available. IBM IoT Connected Vehicle Insights can detect and act upon situational events of interest by using data from vehicle sensors, geographical, weather, traffic, and other systems. For example, you can complete the following actions:

Analyze driver behavior and diagnose potential safety risks or quality issues.
Get contextual awareness of a vehicle and its surrounding environment on a map.
Find the shortest driving route between specified start and end coordinates.
Create and analyze trajectory patterns in vehicle journeys.
Most Probable Path (MPP) and Destination Prediction (DP) model building. Create a prediction model for MPP and DP by machine learning of past trajectory data.

You can use the analytic insights in real time to optimize driving experience, problem prevention, event identification, vehicle and traffic situation detection, and reduce costs.

Vehicle insights

IBM IoT Connected Vehicle Insights provides detailed insights into vehicle usage, in-car events, and performance. IBM IoT Connected Vehicle Insights continuously streams data from connected vehicle sensors and analyzes data at a granular level together with the surrounding contextual and environmental information.

Automotive engineers can be connected to vehicle data throughout a vehicle's life to improve and enhance its capabilities and avoid quality issues and recalls. Service technicians can anticipate vehicle or device failures and reduce maintenance and repair durations. Car sharing and fleet operators can monitor detailed vehicle usage, fuel consumption, security, and many other in-car activities of interest.

Driver insights

IBM IoT Connected Vehicle Insights provides intelligent and actionable insights into the driving patterns of a vehicle operator. IBM IoT Connected Vehicle Insights detects dangerous driving, including speeding, drifting, harsh accelerating or braking, and fatigued driving. This data can be combined with other contextual data sources and enable vehicles to make adjustments that help keep you safer.

Environmental insights

IBM IoT Connected Vehicle Insights extends the power of cognitive computing to link drivers and vehicles to the surrounding environment to improve the mobile experience.

The environmental insights and capabilities of IBM IoT Connected Vehicle Insights give vehicle and driver data up-to-date and more meaningful context. By also streaming data from other geographical and environmental systems, IBM IoT Connected Vehicle Insights adds context and situational awareness to vehicle data and provides a deeper insight into vehicle movement and driving behavior.

Automotive application development

IBM IoT Connected Vehicle Insights is extensible with IBM and third-party data sources, APIs, and applications.

By using domain-specialized and automotive analytics application APIs, you can build real-time applications that leverage the analytics of IBM Watson™ IoT. By analyzing vehicle data from in-car sensors and systems, you can improve the in-car experience and develop automotive business models. IBM IoT Connected Vehicle Insights also supports continuous engineering and embedded software development to speed the delivery of new in-vehicle services and updates.

More feature information

Context Mapping. Provides powerful geospatial functions and map-based analytics to add contextual insights into the vehicle data retrieved by the VDH. From multiple data sources, real time driving situations are identified. See Context Mapping.
Cognitive Routing. Learns from historical data and predicts the best route for you. See Overview of cognitive routing.
Multitenancy. Supports management of multiple customers and isolation of assets and data per customer on a single instance. IBM IoT Connected Vehicle Insights uses IBM Maximo Asset Management to manage customers and tenants in a multitenant environment. See Managing a multitenant environment.

A dedicated private cloud solution

IBM IoT Connected Vehicle Insights (Dedicated SaaS) is a service on IBM Cloud that you can use to build intelligent automotive solutions and applications. A Development Edition of the service is also available for exploring, evaluating, and testing IBM IoT Connected Vehicle Insights in a non-production environment that has fewer than 100 vehicles.