摘要
Our world is facing critical transportation issues [1]. The performance of the transportation system is neither reliable nor resilient. The world suffers signicant deaths and injuries every year. Transportation exerts large-scale, unsustainable impacts on energy, the environment, and climate. For example, the surface transportation system of the United States is facing serious safety, mobility, and environmental issues [2]: There are over 5.8 million crashes per year on U.S. roadways, resulting in 37,000 deaths annually and having a direct economic cost of $230.6 billion; trafc congestion is an $87.2 billion annual drain on the U.S. economy, with 4.2 billion hours and 2.8 billion gallons of fuel spent sitting in trafc; tailpipe emissions from vehicles are the single largest human-made source of carbon dioxide (CO2), nitrous oxides (NOx), and methane. Hence, there is an urgent need to improve transportation system performance and resiliency, reduce transportation injuries and fatalities, and mitigate unsustainable environmental impacts.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Cyber-Physical Systems |
| 主期刊副标题 | A Computational Perspective |
| 出版商 | CRC Press |
| 页 | 351-370 |
| 页数 | 20 |
| ISBN(电子版) | 9781482259773 |
| ISBN(印刷版) | 9781482259759 |
| DOI | |
| 出版状态 | 已出版 - 1 1月 2015 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 13 气候行动
学术指纹
探究 'Cloud Computing for Transportation Cyber-Physical Systems' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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