Anonymized Driving Events Data

**Description**
The Mobito driving events data provides anonymized insights into harsh driving behaviors, including harsh braking, acceleration/deceleration, sharp cornering (left/right), and crash events.

**Data Source**
The data is sourced by millions of vehicles globally from our vetted partners including:

- Automotive OEMs; vehicles with embedded connectivity from the car manufacturer
- Fleets with after-sales in-vehicle hardware telematics devices

**Driving event types**
Common event types used to characterize driving behaviour include:

- Braking
- Cornering (left/right)
- Speeding up/ acceleration
- Crash (while driving or parked)

**Use Cases**
This data enables road safety analysis, infrastructure planning, and driver behavior profiling.

- Road safety: Helps road operators and municipalities identify high-risk road segments based on driving behavior and near-miss incidents, allowing for better maintenance planning and prioritization
- Road infrastructure: Assists in planning and assessing the impact of infrastructure improvements on traffic flow and safety
- Driving behaviour analysis: Supports automotive engineers in developing driver personas based on behavior patterns to inform the design of next-generation vehicles

**Driving Events Data Schema**
The following list provides the main data attributes that are available via the Mobito Driving Events Data Product:

- unique_id
- start_time
- end_time
- latitude
- longitude
- start_speed
- end_speed
- acceleration_direction
- vehicle_type
- event_type

**Driving Events Data Specs**
**Historicity**
Historical data availability as of 2021. Availability differs per country.

**Geographical granularity**
Data can be delivered on the following geographical levels:

- Country
- State/ province
- City
- Custom polygon area
- Specific road segment

**Vehicle Types**
The following vehicle types area available in the datasets (availability varies per country):

- Passenger car
- Light commercial vehicle (LCV). This is a van type of vehicle. Examples: (Renault Master, Renault Trafic, Mercedes-Benz Sprinter, Peugeot Boxer, Volkswagen Crafter, Fiat Ducato, Opel Crossland, Citroen Berlingo etc.)
- Heavy truck (more than 3.5 tones)
- Bus
- Other (unclassified)

**Car brands and models**
MOBITO offers multi-brand vehicle data. However, vehicle make and model details are available for only a limited portion of our total car park.

For more details, visit the Mobito [Driving Events Data](https://support.mobito.io/en/articles/10640728-driving-events-data-product) page.

搜集汇总

背景与挑战

背景概述

该数据集提供全球范围内匿名化的驾驶行为数据，涵盖急刹、加速/减速、急转弯和碰撞等事件类型，适用于道路安全分析、基础设施规划和驾驶行为分析。数据包含时间、位置、速度、车辆类型等属性，来源包括汽车制造商和车队服务提供商。