遇见数据集

NexTraq GeoSpatial Vehicle Tracking Data for US and Canada (1.2M Vehicles)

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Datarade2024-04-19 收录
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资源简介:

GPS Data (Geolocation) date and time: • Latitude and longitude • Direction of travel (heading) • Speed Engine Fault Data (Sample of Data Elements): • Vehicle active (driving, idling, stopped) • Odometer • Fuel level (percentage) • Driver seat belt status • Engine operational time Historical Street Level Context: • Historical Road Level Data and classification at time of event – Understand driving behavior with historical street level detail Trip Data • Aggregated data elements of vehicle trip (from ignition on to ignition off): • Trip begin and end date and time • Start and End latitude and longitude • Idling Time, Drive Time, Stopped Time • Distance Traveled Accelerometer Data (Driver Behavior) Acceleration, Braking, and Cornering Events: • Latitude and longitude of event • Date and Time of Event • G-Force values (x-axis, y-axis) 3.8 M data points collected for driver behavior: More than half of the vehicles monitored are urban based light duty vehicles. • 50% LCV, 30% HCV, 15% MCV

提供机构:
Nextraq
搜集汇总
数据集介绍
NexTraq GeoSpatial Vehicle Tracking Data for US and Canada (1.2M Vehicles) 数据集图片
背景与挑战
背景概述
该数据集涵盖美国和加拿大120万辆车辆的GPS追踪信息,包括地理位置、行驶方向、速度、发动机故障数据、历史街道背景、行程汇总以及加速计数据(用于分析驾驶员行为),共收集了380万条驾驶员行为数据点,其中车辆类型以轻型商用车为主。
以上内容由遇见数据集搜集并总结生成
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