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Coordinated traffic incident management using the I-Net embedded sensor architecture

机译:使用I-Net嵌入式传感器架构协调交通事故管理

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The I-Net intelligent embedded sensor architecture enables the reconfigurable construction of wide-area remote sensing and data collection networks employing diverse processing and data acquisition modules communicating over thin- server/thin-client protocols. Adaptive initially for operation using mobile remotely-piloted vehicle platforms such as small helicopter robots such as the Hornet and Ascend-I, the I-Net architecture lends itself to a critical problem in the management of both spontaneous and planned traffic congestion and rerouting over major interstate thoroughfares such as the I-95 Corridor. Pre-programmed flight plans and ad hoc operator-assisted navigation of the lightweight helicopter, using an auto-pilot and gyroscopic stabilization augmentation units, allows daytime or nighttime over-the-horizon flights of the unit to collect and transmit real-time video imagery that may be stored or transmitted to other locations. With on-board GPS and ground-based pattern recognition capabilities to augment the standard video collection process, this approach enables traffic management and emergency response teams to plan and assist real-time in the adjustment of traffic flows in high- density or congested areas or during dangerous road conditions such as during ice, snow, and hurricane storms. The I-Net architecture allows for integration of land-based and roadside sensors within a comprehensive automated traffic management system with communications to and form an airborne or other platform to devices in the network other than human-operated desktop computers, thereby allowing more rapid assimilation and response for critical data. Experiments have been conducted using several modified platforms and standard video and still photographic equipment. Current research and development is focused upon modification of the modular instrumentation units in order to accommodate faster loading and reloading of equipment onto the RPV, extension of the I-Net architecture to enable RPV-to-RPV signaling and control, and refinement of safety and emergency mechanisms to handle RPV mechanical failure during flight.
机译:I-Net智能嵌入式传感器架构可实现可重新配置的广域遥感和数据收集网络建设,采用多样化的处理和数据采集模块通过薄型服务器/薄客户端协议进行通信。最初用于使用移动远程驾驶的车辆平台的自适应,例如大直升机机器人,如大黄蜂和升级 - 我,I-Net架构在管理自发和计划的交通拥堵和重新路由中的管理中提供了一个关键问题I-95走廊等州际通行员。预先编程的飞行计划和临时操作员辅助导航轻量级直升机,使用自动飞行员和陀螺稳定增强装置,允许单位或夜间过度地平线收集和传输实时视频图像可以存储或传输到其他位置。通过板载GPS和基于地面的模式识别能力来增加标准视频收集过程,这种方法使交通管理和紧急响应小组能够计划和协助实时在高密度或拥挤区域的交通流量调整在冰,雪和飓风风暴期间,在危险的道路状况期间。 I-NET架构允许在全面的自动化交通管理系统内集成陆地和路边传感器,通过通信,并将空中或其他平台用于网络中的网络,而不是人为桌面计算机以外的网络,从而允许更快的同化和关键数据的响应。使用多种修改的平台和标准视频和静止照相设备进行了实验。目前的研究和开发专注于修改模块化仪表单元,以便将设备加快加载和重新加载到RPV上,延伸I-Net架构,以使RPV-To-RPV信号和控制,以及安全性和细化紧急机制处理飞行期间RPV机械故障。

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