遇见数据集

智慧交通大脑平台建设方案

收藏
官方服务:

资源简介:

本项目建设打造公安“智慧交通大脑”综合应用平台(以下简称“平台”),主要建设内容包括:(一)建设一个公安交通大数据中心平台共享市局图像网感知大数据和公安网大数据综合服务平台资源,汇聚交 警自建的微波、事件检测等数据,接入危化品运输、货车等外部单位行业数据, 采购交通态势、热点分布等互联网数据,在进一步丰富公安大数据的同时,形成公安交通大数据中心。(二)建设一个数据中台在市局大数据中台的框架下,建设交管专题数据库、知识库,同时在算法仓  中引入交通管理类算法,增加交通管理类建模工具,为某城市公安“智慧交通大脑”提供丰富的能力支撑。(三)建设四级用户身份支、大、中队主要展示源头基础、宏观态势、趋势变化、管理措施等应用界面。228国道、204国道及高速勤务指挥中心参照大队模式在全线开展联勤联控。民警通过移动警务终端,随时随地获取数据支撑,使用预警处置、查缉布控、信息调阅等应用场景。(四)建设N 个实战应用围绕深化“情指勤舆”一体化工作机制,以“智慧交通大脑”建设为着力点, 推动现有应用系统整合和功能集成,建成1个“集成应用系统”,同时新开发“交 通运行监测、实景指挥调度、信号控制优化、交通诱导发布、勤务管理考核、车辆查缉布控”6个方面实战应用。

This project develops and builds the comprehensive application platform for the public security "Smart Traffic Brain" (hereinafter referred to as the "Platform"). The main construction contents include: 1. Construction of a public security traffic big data center platform: Share the resources of the municipal public security bureau's image network perception big data and public security network big data comprehensive service platform, aggregate data independently built by the traffic police such as microwave and event detection data, access industry data from external units including hazardous chemical transportation and freight vehicles, and purchase Internet data such as traffic situation and hot spot distribution. While further enriching public security big data, a public security traffic big data center will be formed. 2. Construction of a data middle platform: Under the framework of the municipal bureau's big data middle platform, build a traffic management thematic database and knowledge base, introduce traffic management algorithms into the algorithm warehouse, and add traffic management modeling tools to provide rich capability support for the public security "Smart Traffic Brain" of a certain city. 3. Construction of a four-level user identity system: The detachments, brigades and squadrons mainly display application interfaces including basic source data, macro traffic situation, trend changes and management measures. The 228 National Highway, 204 National Highway and highway duty command centers will carry out joint duty and joint control operations along their entire lines by referring to the brigade model. Police officers can obtain data support anytime and anywhere through mobile police terminals, and utilize application scenarios such as early warning and disposal, checkpoint and interception, and information retrieval. 4. Construction of N practical application systems: Focusing on deepening the integrated working mechanism of "intelligence, command, duty and public opinion", taking the construction of the "Smart Traffic Brain" as the key focus, promoting the integration and functional aggregation of existing application systems, completing one "integrated application system", and simultaneously developing 6 practical applications covering traffic operation monitoring, real-scene command and dispatch, signal control optimization, traffic guidance release, duty management and assessment, and vehicle checkpoint and interception.

搜集汇总
数据集介绍
智慧交通大脑平台建设方案 数据集图片
背景与挑战
背景概述
该数据集为智慧交通大脑平台建设方案,聚焦公安交通管理领域,通过构建大数据中心、数据中台及四大核心模块(含交通监测、指挥调度等6项实战应用),实现交通数据整合与智能管理。方案涉及多级用户体系,整合了内外部数据源与算法工具。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务