The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence
Open accessAbstract
The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems U+0028 CPSS U+0029 framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space, considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon U+0028 iHorizon U+0028 and its applications are also presented towards parallel horizon. The proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.
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Citations
Cites
Driving 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-citationToward 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
Self-citationSyed, F., Nallapa, S., Dobryden, A., Grand, C., McGee, R., & Filev, D. (2010) · SAE Technical Paper Series · doi:10.4271/2010-01-0835 · Cited by 24
Cited by
Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges
Wang, Z., Gupta, R., Han, K., Wang, H., Ganlath, A., Ammar, N., & Tiwari, P. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3156028 · Cited by 325
Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives
Cao, D., Wang, X., Li, L., Lv, C., Na, X., Xing, Y., Li, X., Li, Y., Chen, Y., & Wang, F.-Y. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3157049 · Cited by 268
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Metadata
- Authors
- Wang, F.-Y., Zheng, N.-N., Cao, D., Martinez, C. M., Li, L., & Liu, T.
- Venue
- IEEE/CAA Journal of Automatica Sinica
- Published
- 2017
- Volume
- 4
- Issue
- 4
- Pages
- 577-587
- ISSN
- 2329-9266 (ISSN-L)
- 2329-9274
- OpenAlex
- W2754582354
- Cited by
- 239
- References
- 3
- FWCI
- 15.70
- Type
- journal article
- Language
- en
- Open access
- green
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- Wang, F.-Y., Zheng, N.-N., Cao, D., Martinez, C. M., Li, L., & Liu, T. (2017). Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence. IEEE/CAA Journal of Automatica Sinica. https://doi.org/10.1109/jas.2017.7510598
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