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Augmenting the Transit Operations Management Tools with Emerging Technologies

机译:使用新兴技术增强过境运营管理工具

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Recent decades have witnessed great advancements in the area of technology across various industries. Some of these technologies such as cloud computing, service oriented architecture, advanced cellular data and mobile internet devices, big data mining and predictive analytics, and social media are relevant to the transportation industry but there has been limited adoption of such technologies. While the adoption of these technologies will still depend heavily on the capabilities of agencies to overcome technical, organizational, institutional, financial and industrial challenges, agencies could begin to adopt these technologies by improving critical functions such as operations management. Transit agencies have been using computer-aided dispatch (CAD) tools, powered by global positioning system (GPS)-based automatic vehicle location (AVL) since the late 1980s. Even though these tools have evolved over the years, they have not kept pace with advances in technology. Some of these advancements can augment CAD tools by harnessing the power of technologies and the data that they generate. These include predictive and proactive dispatch, scenario databases, feedback loops into planning and scheduling of archived ITS data, social media integration, and third-party developer application programming interfaces (APIs). This paper provides an overview of these advancements for transit operations management.
机译:近几十年目睹了各行业技术领域的巨大进步。这些技术中的一些云计算,服务面向架构,高级蜂窝数据和移动互联网设备,大数据挖掘和预测分析以及社交媒体与交通业有关,但通过这些技术采用有限。虽然通过这些技术的采用仍然依赖于机构的能力来克服技术,组织,机构,金融和工业挑战,但机构可以通过改善运营管理等关键职能开始通过这些技术。自20世纪80年代后期以来,过境机构一直使用由全球定位系统(GPS)的自动车辆地点(AVL)提供动力的计算机辅助调度(CAD)工具。尽管这些工具多年来也在发展,但他们并没有与技术的进步保持同步。其中一些进步可以通过利用技术的力量和它们生成的数据来增强CAD工具。这些包括预测和主动派遣,方案数据库,反馈循环到规划和调度其数据,社交媒体集成和第三方开发人员应用程序编程接口(API)的规划和调度。本文概述了过境运营管理的这些进步。

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