Data Science for Transportation
| Format | Electronic |
| Publication Info | Singapore : Springer Nature Singapore Pte Ltd., 2019- |
| Supplemental Content | Click here for full text |
| Subjects |
| Uniform title | Data Science for Transportation (Online) |
| Frequency | Semiannual |
| Abstract | Data Science for Transportation publishes high-quality original research and reviews in a wide range of topics related to Data Science in Transportation. This includes classical approaches when data sources are used to unravel underlying physical mechanisms leading to general laws and new modelling frameworks. It also includes new data-driven approaches when AI plays a central role. The goal of the journal is to showcase the latest methodological advances and applications of data science methods in transportation and implications for policy making. |
| General note | Editors-in-Chief: Satish V. Ukkusuri and Leclercq Ludovic. |
| Access restriction | Available only to authorized users. |
| Other forms | Also available in print. |
| Technical details | Mode of access: World Wide Web. |
| Source of description | Description based on online resource; title from title screen (publisher's website, viewed December 19, 2023). |
| ISSN | 2948-1368 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |