Statewide Truck Volume Estimation Using Probe Vehicle Data and Machine Learning
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/03/27
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Indian UGC (journal)
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Refrences36
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Citations1
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Xu Zhang Kentucky Transportation Center, Lexington, KY ORCID (unauthenticated)
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Mei Chen Department of Civil Engineering, University of Kentucky, Lexington, KY ORCID (unauthenticated)
Abstract
Cite
Zhang, Xu, and Mei Chen. “Statewide Truck Volume Estimation Using Probe Vehicle Data and Machine Learning”. Transportation Research Record: Journal of the Transportation Research Board, vol. 2677, no. 8, 2023, pp. 588-01, https://doi.org/10.1177/03611981231157400.
Zhang, X., & Chen, M. (2023). Statewide Truck Volume Estimation Using Probe Vehicle Data and Machine Learning. Transportation Research Record: Journal of the Transportation Research Board, 2677(8), 588-601. https://doi.org/10.1177/03611981231157400
Zhang, Xu, and Mei Chen. “Statewide Truck Volume Estimation Using Probe Vehicle Data and Machine Learning”. Transportation Research Record: Journal of the Transportation Research Board 2677, no. 8 (2023): 588-601. https://doi.org/10.1177/03611981231157400.
Zhang X, Chen M. Statewide Truck Volume Estimation Using Probe Vehicle Data and Machine Learning. Transportation Research Record: Journal of the Transportation Research Board. 2023;2677(8):588-601.
Journal Categories
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Transportation engineering
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Presented at 100th Annual Meeting of the Transportation Research Board | 2021 | |||
| Presented at 100th Annual Meeting of the Transportation Research Board | 2019 | |||
| Presented at 100th Annual Meeting of the Transportation Research Board | 2008 | |||
| Presented at 100th Annual Meeting of the Transportation Research Board | 2021 | |||
| Presented at 100th Annual Meeting of the Transportation Research Board | 2019 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona | Journal of Transportation Engineering, Part A: Systems |
| 2024 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Technology: Engineering (General). Civil engineering (General) | 1 |
| Technology: Engineering (General). Civil engineering (General): Transportation engineering | 1 |
The category
Technology: Engineering (General). Civil engineering (General) 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona and was published in 2024. The most recent citation comes from a 2024 study titled Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the Journal of Transportation Engineering, Part A: Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.