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Collaborative real-time traffic information generation and sharing framework for the intelligent transportation system

机译:智能交通系统协同实时交通信息生成与共享框架

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摘要

Real-time traffic information collection and data fusion is one of the most important tasks in the advanced traffic management system (ATMS), and sharing traffic information to users is an essential part of the advance traveler information system (ATIS) among the intelligent transportation systems (ITS). Traditionally, sensor-based schemes or probing-vehicle based schemes have been used for collecting traffic information, but the coverage, cost, and real-time issues have remained unsolved. In this paper, a wiki-like collaborative real-time traffic information collection, fusion and sharing framework is proposed, which includes user-centric traffic event reacting mechanism, and automatic agent-centric traffic information aggregating scheme. Smart traffic agents (STA) developed for various front-end devices have the location-aware two-way real-time traffic exchange capability, and built-in event-reporting mechanism to allow users to report the real-time traffic events around their locations. In addition to collecting traffic information, the framework also integrates heterogeneous external real-time traffic information data sources and internal historical traffic information database to predict real-time traffic status by knowledge base system technique.
机译:实时交通信息收集和数据融合是高级交通管理系统(ATMS)中最重要的任务之一,与用户共享交通信息是智能交通系统中高级旅客信息系统(ATIS)的重要组成部分(它的)。传统上,基于传感器的方案或基于探测车辆的方案已用于收集交通信息,但是覆盖范围,成本和实时问题仍未解决。本文提出了一种基于维基的协作式实时交通信息收集,融合和共享框架,该框架包括以用户为中心的交通事件反应机制和以代理为中心的自动交通信息聚合方案。为各种前端设备开发的智能交通代理(STA)具有位置感知的双向实时交通交换功能,并内置事件报告机制,允许用户报告其位置周围的实时交通事件。除了收集交通信息外,该框架还集成了异构的外部实时交通信息数据源和内部历史交通信息数据库,以通过知识库系统技术预测实时交通状况。

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