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The Application of Smart Phone, Weight-Mile Truck Data to Support Freight-Modeling, Performance Measures and Planning

机译:智能手机,重量级卡车数据在货运建模,绩效评估和规划中的应用

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摘要

Oregon is one of the few states that currently charge a commercial truck weight-mile tax (WMT). The Oregon Department of Transportation (ODOT) has developed a data-collection system – Truck Road Use Electronics (TRUE) – to simplify WMT collection. The TRUE system includes a smart phone application that collects and records Global Positioning System (GPS) data. The TRUE data has enormous advantages over GPS data used in previous research due to its level of geographic detail and the potential to also integrate trip origin and destination, vehicle class, and commodity-type data. This research evaluates the accuracy of the TRUE data and demonstrates its use for significant ODOT ancillary applications. Specifically, ancillary applications that address ODOT freight modeling, performance measures, and planning needs are explored. The use of the data for highly accurate trip-generation rates and mobility performance measures is demonstrated. In addition, it is shown that the TRUE data has strong potential to be used for safety, accessibility and connectivity, system condition and environmental stewardship performance measures. The potential use of the TRUE data for emissions estimates that take into account truck-type details, truck weight and detailed speed profiles is considered. Results indicate that TRUE data, integrated with ODOT weigh-in-motion (WIM) data, will greatly improve the accuracy of emission estimates at the project and regional level. This research confirms the potential use of the TRUE data for significant ancillary applications and demonstrates the regional value of the TRUE data to enhance existing freight modeling, performance measures and planning.
机译:俄勒冈州是目前为数不多的收取商用卡车重量里程税(WMT)的州之一。俄勒冈州运输部(ODOT)开发了一种数据收集系统–卡车道路使用电子设备(TRUE)–以简化WMT收集。 TRUE系统包括一个智能电话应用程序,该应用程序收集并记录全球定位系统(GPS)数据。由于TRUE数据的地理细节水平以及整合行程起点和终点,车辆类别和商品类型数据的潜力,因此与以前的研究中使用的GPS数据相比,它具有巨大的优势。这项研究评估了TRUE数据的准确性,并证明了其在重要的ODOT辅助应用中的用途。特别是,探讨了解决ODOT货运建模,性能度量和计划需求的辅助应用程序。演示了将数据用于高度准确的出行发生率和机动性性能指标。此外,表明TRUE数据具有强大的潜力,可用于安全性,可访问性和连接性,系统状况和环境管理性能指标。考虑将TRUE数据用于排放估算,该估算考虑了卡车类型的详细信息,卡车重量和详细的速度曲线。结果表明,将TRUE数据与ODOT动态称重(WIM)数据集成在一起,将大大提高项目和地区级排放估算的准确性。这项研究证实了TRUE数据在重大辅助应用中的潜在用途,并展示了TRUE数据在增强现有货运建模,性能度量和计划方面的区域价值。

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