AI重构公路应急指挥，百度智能云赋能恶劣天气应急新场景

环球财经网02-13

春运返乡高峰叠加寒潮来袭,公路应急保障再次面临“大考”。2月12日消息,近期百度智能云自研交通大模型打造的公路应急指挥智能体(恶劣天气场景)全新上线。升级后的公路应急指挥Agent,能够实现恶劣天气下公路应急的全流程智能化、自动化与精准化,覆盖事前预警联动、事中智能处置、事后复盘优化等关键环节,形成“秒级发现、分钟级生成预案”的智能应急体系,为春运返乡路构建数字化安全防线。从“人治经验”到“AI...

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的低效循环里:险情发现靠人眼巡查,面对上百起突发状况难免漏报迟报;应急预案凭经验手动编辑,精准度与效率双低;多部门联动靠电话、对讲机,信息传递层层衰减;处置进度靠人工汇报,全程无实时跟踪,这一套效率低下的流程,只会让出行安全的风险持续攀升。公路应急指挥智能体基于大模型重构“感知—决策—执行—反馈”全流程,继支持突发事件与施工占道场景后,本次升级新增恶劣天气复杂场景的处置提效,推动应急指挥从经验驱动的“人治模式”,迈向数据与模型协同的智能运行模式。事前预防:智能联动,提前布防在接收到暴雪、冻雨等气象预警后,智能体可自动识别天气类型与风险等级,快速生成处置方案,联动交警、路政、养护、救援等多部门,提前完成人员、设备与物资的集结与部署。同时多模态感知实时核验应急力量到位情况,实现“预警即响应、响应即布防”,将风险处置前移,降低极端天气对路网运行的影响。事中处置:秒级发现,分钟级生成预案针对恶劣天气场景,智能体可对冰雪强度、结冰范围、能见度变化进行持续识别与动态分析,实现对高速路网的全域感知。针对异常停车、事故等突发事件,智能体可快速定义事件等级、开展救援,并在分钟级自动生成定制化处置预案,包括除雪除冰作业预案、事件处置救援预案等,并将指令同步推送至相关部门执行,形成“智能生成预案、辅助指挥决策、处置进展可视”的闭环处置流程。事后复盘:数据沉淀,持续进化在应急处置结束后,智能体将自动生成完整的处置报告,对响应时长、资源调度效率、策略效果进行量化评估。相关数据将沉淀为经验样本,使每一次应急处置都成为能力进化的基础。多模态感知×行业大模型,打造智能应急“最强大脑”公路应急指挥智能体的能力,源于百度在交通领域的长期积累通过“边云联动”的精准感知,以边侧小模型实时识别+云端UniVL交通多模态大模型精准研判的组合方案,兼顾高效响应与精准识别,实现速度与准确率的双重保障,即便在低能见度、高噪声环境下,依然能够准确理解复杂交通场景,常发事件检测准确率高达97%。在此基础上,交通语言大模型深度学习交通法规、应急预案及专家经验,将原本依赖人工查阅的纸质预案,转化为可自动执行的智能体,实现从“文本知识”到“行动指令”的跨越。此次能力升级,也是对国家公路数字化转型政策要求的积极响应。相关政策明确提出,要加强运行安全管控监测、加强恶劣气象通行安全预警。通过恶劣天气新场景能力的落地,百度智能云一方面为交通管理部门、高速运营单位提供冰雪应急全流程智能解决方案,助力公路数字化转型;另一方面,让春运自驾车主告别救援等待与信息焦虑,用技术守护每一条回家路。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 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