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Intelligent Snow Plow: December 16, 2020 Winter Storm Activity

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DataCite Commons2025-12-18 更新2025-04-16 收录
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https://purr.purdue.edu/publications/3804/1
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<p>[[Video(https://youtube.com/watch?v=1sTyUUH1FIA)]]</p> <p>Indiana Department of Transportation installed Parsons telematics on all snow plow trucks to actively monitor truck deployment and response measures. Over 1,100 trucks were equipped with telematic devices to provide feedback on winter storm impact and deployment measures. Development of a real-time dashboard allowed the agency to monitor deployment measures and response to winter storm precipitation.</p> <p>This visualization shows snow plow deployment in response to winter storm activity. The blue circles are the active trucks overlaid with the statewide Multi-Radar/Multi-Sensor (MRMS) forecast. The database itself is not available for download in PURR because it is both prohibitively large and continually updated, but this resource is part of a series of tools based on those data.</p> <p>For fleet management and training, Automatic Vehicle Location devices were installed on all 1,100 Indiana Department of Transportation (INDOT) fleet trucks beginning in October 2020.  The resulting intelligent snowplow database stores real-time vehicle location, salt spreader controller and vehicle data, and dash images every minute, allowing agencies to actively monitor and deploy their assets. INDOT manages and maintains over 28,000 miles of roadways. Maintenance of the roadways includes pavement repair in the summer as well as snow removal and de-icing in the winter. The prioritization of assets during winter storm events is crucial and impacts travel and safety. The objective of this project was to identify and develop tools INDOT could provide its operators to effectively perform winter operation de-icing activities. This project examined application methods and data to provide analytics and make data-driven decisions for state-wide deployment and operations. Discovery of calibration metrics partnered with fleetwide telematics enabled the development of analytic dashboards that allowed real-time evaluations and adjustments to be made during winter operation activities. These tools will allow the agency to better treat and enhance safety for road users.</p>

<p>[[视频(https://youtube.com/watch?v=1sTyUUH1FIA)]]</p> <p>印第安纳州交通运输部(Indiana Department of Transportation)为所有除雪卡车安装了帕森斯(Parsons)远程信息处理(telematics)设备,以主动监控车辆调度与应急响应举措。该部门为超过1100辆卡车配备了远程信息处理装置,用以反馈冬季风暴的影响及车辆调度方案。通过开发实时仪表盘,该机构得以监控车辆调度情况及针对冬季风暴降水的响应行动。</p> <p>本可视化内容展示了针对冬季风暴活动的除雪卡车调度情况。图中的蓝色圆点为正在作业的卡车,叠加覆盖了全州多雷达多传感器(Multi-Radar/Multi-Sensor, MRMS)预报数据。由于该数据库体积过大且持续更新,PURR平台暂不提供其下载服务,但本可视化资源属于基于此类数据开发的工具系列之一。</p> <p>为满足车队管理与培训需求,印第安纳州交通运输部(INDOT)自2020年10月起,为其全部1100辆公务卡车安装了自动车辆定位(Automatic Vehicle Location)装置。由此构建的智能除雪作业数据库每分钟存储实时车辆位置、撒盐机控制器及车辆数据,以及车载仪表盘影像,方便相关机构主动监控并调度其资产。印第安纳州交通运输部负责管理与维护超过28000英里的道路,其养护工作涵盖夏季路面修缮与冬季除雪、除冰作业。冬季风暴期间,作业资产的优先级规划至关重要,直接关乎道路通行安全与效率。本项目旨在开发可供印第安纳州交通运输部运维人员使用的工具,以高效开展冬季除冰作业。项目对应用方法与数据展开研究,旨在提供分析支撑,并为全州车辆调度与作业制定数据驱动的决策方案。通过将车队级远程信息处理技术与校准指标相结合,团队成功开发出分析仪表盘,可在冬季作业期间实现实时评估与调整。此类工具将帮助该机构更好地开展道路养护作业,提升道路使用者的出行安全。</p>
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Purdue University Research Repository
创建时间:
2021-05-27
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