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A needs assessment and technology evaluation for roadside identification of commercial vehicles

机译:商用车路边识别需求评估与技术评估

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This study was undertaken to identify methods of unique identification of commercial vehicles at the roadside for slow- and high-speed electronic screening purposes. It is a comprehensive look at available and emerging technologies, focusing on the needs of the Federal Highway Administration's Office of Motor Carrier and Highway Safety (OMCHS) and the States. The study included both a needs assessment and a technology evaluation. A preliminary list of 22 technologies was developed that appeared to have some applicability to the task of roadside identification of commercial vehicles. As the technology evaluation progressed, five of these technologies (optical character recognition, radio frequency identification, barcode, image capture, and voice recognition) emerged as demonstrating the greatest potential for roadside identification of commercial vehicles. These five technologies were evaluated in some detail, and recommendations were developed.
机译:本研究旨在确定路边的商用车辆独特识别方法,以缓慢和高速电子筛选目的。它是一项全面的看似可用的和新兴技术,专注于联邦公路管理局的汽车载体和公路安全(OMCHS)和国家的需求。该研究包括需求评估和技术评估。制定了22种技术的初步清单,似乎对商用车的路边识别任务具有一些适用性。随着技术评估的进展,其中五种技术(光学字符识别,射频识别,条形码,图像捕获和语音识别)出现为展示商用车的路边识别最大的潜力。这五种技术进行了一些细节评估,并开发了建议。

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