评估确定最适合先进公交运输系统的道路等级的不同方法

2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) Pub Date : 2017-09-01 DOI:10.1109/SOLI.2017.8120979

J. Magrath, Michael S. Brady

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引用次数: 4

摘要

真实世界的燃料消耗和排放模型对道路等级估算很敏感。生态路线和生态驾驶解决方案的发展使得大规模收集道路等级剖面变得非常重要。因此，有必要收集准确、大比例尺、道路等级的型材。现有的智能交通系统(ITS)，如先进公交运输系统(ABTS)，为道路等级概况的后处理开发提供了收集大量数据的机会。本文探讨了确定适合ABTS的道路等级估算的不同技术。在这项工作中重复了五项研究，并在针对谷歌Elevation API的现实世界实验中进行了评估。

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Evaluating different methods for determining road grade best suited to advanced bus transportation systems

Real world fuel consumption and emission models are sensitive to road grade estimates. The developments of eco-routing and eco-driving solutions makes the development of large scale collections of road grade profiles of importance. Therefore, there is a need to collect accurate, large scale, road grade profiles. Existing intelligent transport systems (ITS) like Advanced Bus Transportation Systems (ABTS) provide an opportunity to collect large amounts of data for post processing development of road grade profiles. This paper explores different techniques for determining road grade estimates suited to ABTS. Five studies were replicated in this work and evaluated in real world experiments against the Google Elevation API.

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2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

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