Livorno, Highway pilot, only connected cars

<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 only connected cars, lap of 12,3 km on the highway. The goal is to check all the systems and data management before the next test session with AD cars. <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90km/h的速度行驶在智能高速公路（smart highway）的第一车道，所有设备运行正常且已接入所需的全部服务。 动作与事件：1. 高速公路积水监测系统针对某一特定扩展区域触发积水危险预警。2. 自动驾驶（AD，Autonomous Driving）车辆通过物联网服务接收该信息，并根据受危险状况影响的区域设置车速限制：车辆平稳减速，以确保以合适的车速驶入该危险区域。3. 当驶离危险区域且收到“智能道路”的通知后，车辆将恢复至法定允许的巡航车速。 相关场景：自动驾驶功能如何与不同物联网输入源进行交互：来自oneM2M平台的（因积水生成的建议限速）；来自路侧到车辆（I2V，Infrastructure to Vehicle）的（分布式环境通知消息（DENM，Decentralized Environmental Notification Message），积水危险预警）；来自车对车（V2V，Vehicle to Vehicle）的（搭载其他车辆信息的协同感知消息（CAM，Cooperative Awareness Message））。 会话描述： 本次测试会话仅使用联网车辆，在高速公路上完成12.3公里的行驶路段。本次测试的目标是在开展自动驾驶车辆测试会话前，验证所有系统与数据管理流程。 数据集描述： 1. **AUTOPILOT_Livorno_HighwayPilot_Vehicle_all**：车辆传感器生成数据集。该数据集对应利沃诺高速公路自动驾驶试点过程中，由车辆传感器生成的车辆相关数据，涵盖来自控制器局域网（CAN，Controller Area Network）总线与全球定位系统（GPS，Global Positioning System）的采集数据。包含以下类型的数据集： - 车辆（Vehicle）：通用数据（车速、电池状态）； - 定位系统（PositioningSystem）：GPS采集的定位数据； - 车辆动力学（VehicleDynamics）：车辆动力学相关数据（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**：车对车（V2V，Vehicle to Vehicle）消息数据集。该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，Intelligent Transport System）站点（车辆与路侧单元（RSU，Road Side Unit））之间交换的V2V消息。 3. **AUTOPILOT_Livorno_HighwayPilot_IoT_all**：物联网oneM2M平台提取数据集。该数据集对应利沃诺高速公路自动驾驶试点期间，自动驾驶试点设备、应用与服务通过oneM2M平台交换的消息。