Livorno, Urban driving, Automated and connected vehicle and smart traffic light

<strong>Scenario description</strong>: Test session for AD+connected car and connected cars approaching an intersection regulated by a "smart" traffic light. <strong>Session description</strong>: A "smart" traffic light sends SPaT and MAP messages describing the topology, actual status of the traffic light to other connected vehicles and to the oneM2M platform on the cloud.<br> An AD vehicle consumes the information and autonomously adapts its speed in order to cross the intersection without violating the traffic light phases, considering also other vehicles moving in front. Goal is to record data for the technical evaluation. <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_Livorno_UrbanDriving_Vehicle_all</strong>: Data generated from the vehicle sensors This dataset refers to the vehicle datasets generated from the vehicle sensors during Urban Drining in Livorno. This includes the data coming from the CAN bus and GPS. It includes following kind of dataset: Vehicle: general data (speed, battery); PositioningSystem: data from GPS; VehicleDynamics: data about dynamic (acceleration...); LateralControl: steering and lane control data <strong>AUTOPILOT_Livorno_UrbanDriving_V2X_all</strong>: V2V messages during platooning sessions This dataset refers to the V2V messages exchanged between ITS stations (vehicles and RSUs) during the Urban Drining in Livorno. <strong>AUTOPILOT_Livorno_UrbanDriving_IoT_all</strong>: Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by Urban Driving devices, applications and services across the oneM2M platform.

**场景描述**：面向自动驾驶（AD）与联网汽车，以及驶经“智能”交通信号灯管控的交叉路口的联网汽车所开展的测试会话。

**会话描述**：“智能”交通信号灯将发送SPaT与MAP消息，向其他联网汽车以及云端的oneM2M平台描述道路拓扑结构与交通信号灯实时状态。自动驾驶车辆将接收并利用此类信息，自主调整车速，确保在不违反交通信号灯相位规则的前提下通过交叉路口，同时兼顾前方行驶的其他车辆。本次测试的目标为记录数据以支撑技术评估。

**数据集描述**：

**AUTOPILOT_Livorno_UrbanDriving_Vehicle_all**：车辆传感器生成数据集。该数据集对应利沃诺市区驾驶场景下，由车辆传感器生成的车辆类数据，涵盖来自控制器局域网总线（CAN Bus）与全球定位系统（Global Positioning System，GPS）的相关数据。其包含以下类型的数据集：
- 车辆（Vehicle）：通用数据（车速、电池电量）；
- 定位系统（PositioningSystem）：全球定位系统相关数据；
- 车辆动力学（VehicleDynamics）：动力学相关数据（如加速度等）；
- 横向控制（LateralControl）：转向与车道控制相关数据。

**AUTOPILOT_Livorno_UrbanDriving_V2X_all**：编队行驶会话期间的车车通信（Vehicle-to-Vehicle，V2V）消息数据集。该数据集对应利沃诺市区驾驶场景下，智能交通系统（Intelligent Transportation System，ITS）站点（含车辆与路边单元（Road Side Unit，RSU））之间交互的相关消息。

**AUTOPILOT_Livorno_UrbanDriving_IoT_all**：从oneM2M平台提取的物联网数据集。该数据集对应利沃诺市区驾驶场景下，各类设备、应用与服务通过oneM2M平台交互的消息。