云控平台接入车辆承载能力测试数据集

示范区云控平台接入车辆承载能力测试数据主要来源于车辆终端。车辆终端涵盖不同厂商、车型及动力类型的车辆，确保数据的多样性和代表性。本研究采用控制变量法与多场景模拟结合的设计方案，以实现对云控平台接入车辆承载能力的全面测试。将历史真实在线的200辆网联车扩样模拟至180000辆网联车发起连接请求，在网关服务器上可以查看180000辆网联车的连接请求，在 Kafka 上可以查看在线连接车辆的 ID，统计 Kafka 中在线连接车辆数为180000 台。具体设计如下： 测试场景设置：设置正常交通流场景（道路车辆平均密度为20辆/公里）、高峰交通流场景（道路车辆平均密度为80辆/公里）、恶劣天气交通流场景（模拟降雨、雾天等天气，能见度分别为5米、15米）三种场景，每种场景测试时长为24小时。 变量控制：在不同场景下，控制接入车辆数量（从10000辆逐步增加至180000辆，每次增加10000辆）、数据传输频率（分别设置为 1Hz、5Hz、10Hz）、车辆行驶速度（按照示范区道路限速要求，设置为5km/h、30km/h、60 km/h）三个变量，以测试不同变量组合下云控平台的承载能力。数据量约300MThe test data for the vehicle carrying capacity of the demonstration zone's cloud control platform is mainly sourced from vehicle terminals. Vehicle terminals cover vehicles from different manufacturers, models and power types, ensuring the diversity and representativeness of the data. This study adopts a design scheme combining the controlled variable method and multi-scenario simulation to conduct a comprehensive test on the vehicle carrying capacity of the cloud control platform. It extrapolated and simulated 200 historically connected vehicles to 180,000 connected vehicles to initiate connection requests. The connection requests of 180,000 connected vehicles can be viewed on the gateway server, and the IDs of online connected vehicles can be viewed on Kafka, with the number of online connected vehicles counted as 180,000 in Kafka. The specific design is as follows: Test scenario settings: Three scenarios are set up, including normal traffic flow scenario (average road vehicle density: 20 vehicles/km), peak traffic flow scenario (average road vehicle density: 80 vehicles/km), and severe weather traffic flow scenario (simulating rainy, foggy weather with visibility of 5 meters and 15 meters respectively). Each scenario has a test duration of 24 hours. Variable control: Under different scenarios, three variables are controlled, namely the number of access vehicles (gradually increasing from 10,000 to 180,000, with an increment of 10,000 each time), data transmission frequency (set to 1Hz, 5Hz, 10Hz respectively), and vehicle traveling speed (set to 5km/h, 30km/h, 60km/h according to the speed limits of the demonstration zone's roads), to test the carrying capacity of the cloud control platform under different variable combinations. The total data volume is approximately 300 MB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于云控平台接入车辆的承载能力测试，数据来源于多样化的车辆终端，采用控制变量与多场景模拟方法，将网联车从200辆扩样至180000辆进行连接请求测试。测试覆盖正常、高峰和恶劣天气三种交通流场景，每种场景持续24小时，并通过控制接入车辆数量、数据传输频率和行驶速度等变量，评估平台在不同条件下的承载性能。