The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications
Abstract
Parallel control and management have been proposed as a new mechanism for conducting operations of complex systems, especially those that involved complexity issues of both engineering and social dimensions, such as transportation systems. This paper presents an overview of the background, concepts, basic methods, major issues, and current applications of Parallel transportation Management Systems (PtMS). In essence, parallel control and management is a data-driven approach for modeling, analysis, and decision-making that considers both the engineering and social complexity in its processes. The developments and applications described here clearly indicate that PtMS is effective for use in networked complex traffic systems and is closely related to emerging technologies in cloud computing, social computing, and cyberphysical-social systems. A description of PtMS system architectures, processes, and components, including OTSt, Dyna CAS, aDAPTS, iTOP, and TransWorld is presented and discussed. Finally, the experiments and examples of real-world applications are illustrated and analyzed.
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Citations
Cites
Toward a Revolution in Transportation Operations: AI for Complex Systems
Wang, F.-Y. (2008) · IEEE Intelligent Systems · doi:10.1109/mis.2008.112 · Cited by 149
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Cited by
Data-Driven Intelligent Transportation Systems: A Survey
Zhang, J., Wang, F.-Y., Wang, K., Lin, W.-H., Xu, X., & Chen, C. (2011) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2011.2158001 · Cited by 1,817
Self-citationTowards blockchain-based intelligent transportation systems
Yuan, Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795984 · Cited by 671
Self-citationDriving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey
Marina Martinez, C., Heucke, M., Wang, F.-Y., Gao, B., & Cao, D. (2018) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2706978 · Cited by 620
Self-citationTravel time prediction with LSTM neural network
Duan, Y., L.V., Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795686 · Cited by 336
Self-citationCapturing Car-Following Behaviors by Deep Learning
Wang, X., Jiang, R., Li, L., Lin, Y., Zheng, X., & Wang, F.-Y. (2018) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2706963 · Cited by 325
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Metadata
- Authors
- Wang, F.-Y.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2010-09
- Volume
- 11
- Issue
- 3
- Pages
- 630-638
- ISSN
- 1524-9050 (ISSN-L)
- OpenAlex
- W2133747588
- Cited by
- 856
- References
- 1
- FWCI
- 78.60
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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