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Big Data Applications for Managing Roadways
| 题名： | Big Data Applications for Managing Roadways |
| 正文语种： | eng |
| 作者： | JIJO K. MATHEW;JAIRAJ C. DESAI;RAHUL SURYAKANT SAKHARE;WOOSUNG KIM;HOWELL LI;DARCY M. BULLOCK |
| 作者单位： | Joint Transportation Research Program at Purdue University;Joint Transportation Research Program at Purdue University;Joint Transportation Research Program at Purdue University;Joint Transportation Research Program at Purdue University;Joint Transportation Research Program at Purdue University;Civil Engineering at Purdue University |
| 摘要： | Dashboards using segment data have been widely used in several states. However, the utilization of enhanced trajectory-based data is still in its early stages. More than 400 billion enhanced probe vehicle records are now available per month that state and federal governments can integrate into their monitoring,management, and infrastructure investment decisions. The techniques presented in this research for visualizing interstate queueing, hard braking, and crashes can be scaled to provide these types of visualizations nationally (Figure 2 and Figure 4). Construction work zones are perhaps the nearest term opportunity for agencies to use connected vehicle data because they provide high-precision data on sections of their networks that are under construction, but with little or no traditional ITS intrastructure. |
| 出版年： | 2021 |
| 期刊名称： | ITE journal |
| 卷： | 91 |
| 期： | 2 |
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