Livorno, Highway pilot, one automated and connected car

<strong>Scenario description</strong>: Precondition: A vehicle is driving in the first lane of a “smart highway” at 90 km/h with all the devices working correctly and connected to all services needed. Actions or events: 1 The puddle monitoring system of the highway triggers a puddle hazard warning for a specific extended zone. 2 The AD car receives the information by IoT based services and sets a speed limitation according to the area interested by hazard conditions: it smoothly decelerates in order to enter in the area at the proper speed. 3 At the end of the dangerous area, as notified by the “smart road”, the vehicle will recover the legally allowed cruise speed. Relevant situations: How the AD function interacts with different IoT input: from oneM2M platform (advisory speed limit due to puddles); from I2V (DENM, puddle hazard warning); from V2V (CAM with info from other vehicles). <strong>Session description</strong>: Test session with one AD+connected car, lap of 12,3 km on the highway. <strong>Datasets description</strong>: <strong>AUTOPILOT_Livorno_HighwayPilot_Vehicle_all</strong>: Data generated from the vehicle sensors This dataset refers to the vehicle datasets generated from the vehicle sensors during Highway Piloting 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_HighwayPilot_V2X_all</strong>: V2V messages during the Highway Pilot sessions This dataset refers to the V2V messages exchanged between ITS stations (vehicles and RSUs) during the Highway Piloting in Livorno. <strong>AUTOPILOT_Livorno_HighwayPilot_IoT_all</strong>: Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by HighwayPilot devices, applications and services across the oneM2M platform.场景描述： 前置条件：一辆车辆以90 km/h的速度行驶于“智慧高速公路”的第一车道，所有设备均运行正常且已接入所需的全部服务。 行动与事件： 1. 高速公路的积水监测系统针对特定扩展区域触发积水危险预警。 2. 自动驾驶（AD）车辆通过物联网（IoT）服务接收该信息，并根据受危险状况影响的区域设置车速限制：车辆将平稳减速，以合适车速驶入该危险区域。 3. 当驶离危险区域并收到“智慧道路”的通知后，车辆将恢复至法定允许的巡航车速。 相关场景：自动驾驶（AD）功能与不同物联网（IoT）输入的交互方式：来自oneM2M平台的信息（因积水产生的建议车速限制）、车路协同（I2V，DENM，积水危险预警）、车对车（V2V）通信（搭载其他车辆信息的协同感知消息（CAM））。 会话描述： 针对一辆搭载自动驾驶（AD）功能的联网车辆开展的测试会话，在高速公路上完成12.3公里的行驶圈次。 数据集描述： 1. AUTOPILOT_Livorno_HighwayPilot_Vehicle_all：车辆传感器生成数据集。本数据集对应利沃诺高速公路自动驾驶试点期间，由车辆传感器生成的车辆数据集，包含来自控制器局域网（CAN bus）总线与全球定位系统（GPS）的数据。涵盖以下类型的数据集： - 车辆（Vehicle）：通用数据（车速、电池状态）； - 定位系统（PositioningSystem）：全球定位系统（GPS）采集的数据； - 车辆动力学（VehicleDynamics）：车辆动态相关数据（加速度等）； - 横向控制（LateralControl）：转向与车道控制相关数据。 2. AUTOPILOT_Livorno_HighwayPilot_V2X_all：高速公路自动驾驶试点期间的车对车（V2V）通信消息数据集。本数据集对应利沃诺高速公路自动驾驶试点期间，智能交通系统（ITS）站点（车辆与路侧单元（RSU））之间交换的车对车（V2V）消息。 3. AUTOPILOT_Livorno_HighwayPilot_IoT_all：物联网（IoT）oneM2M平台提取数据集。本数据集对应利沃诺高速公路自动驾驶试点期间，各类试点设备、应用与服务通过oneM2M平台交换的消息。