The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Information Dissemination Delay in Vehicle-to-Vehicle Communication Networks in a Traffic Stream
Abstract
Vehicle-to-vehicle (V2V) communication networks, as one of the core components of connected vehicle systems, have been granted many promising applications to address traffic mobility, safety, and sustainability. However, only a limited amount of work has been completed to understand the fundamental properties of information propagation in such systems, while comprehensively considering traffic and communication reality. Motivated by this view, this proposed research develops analytical formulations to estimate information propagation time delay via a V2V communication network formed on a one-way or two-way road segment with multiple lanes. Distinguished to previous efforts, the proposed study carefully involves several critical communication and traffic flow features in reality, such as wireless communication interference, intermittent information transmission, and dynamic traffic flow. Moreover, this study elaborately analyzes the interactions between information and traffic flow under sparse and congested traffic flow conditions. The numerical experiments based on Next-Generation Simulation field data illustrate that the proposed analytical formulations are able to provide very good estimation, with the relative error less than 5%, for the information propagation time delay on a one-way or two-way road segment under various traffic conditions. The proposed work can be further extended to characterize information propagation time delay and coverage over local transportation networks.
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“Du et al. [94] used mathematical models to assess delays in information propagation, incorporating real-world traffic conditions like congestion and sparsity.”
From Vehicle-to-Everything Communication in Intelligent Connected Vehicles: A Survey and Taxonomy (2025) · cites this paper as [94]
Citations
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Research works printed but not linked: 5
- 2013, Virginia Department of Transportation
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- 10.2307/2687013 · DOI
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- 0, Fleetnet (Internet on the road)
Cited by
Sorted by citations
Shi, H., Chen, D., Zheng, N., Wang, X., Zhou, Y., & Ran, B. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104019 · Cited by 131
Liu, J., & Khattak, A. J. (2016) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2016.03.009 · Cited by 125
Vehicle-to-Everything Communication in Intelligent Connected Vehicles: A Survey and Taxonomy
Zhang, X., Li, J., Zhou, J., Zhang, S., Wang, J., Yuan, Y., Liu, J., & Li, J. (2025) · Automotive Innovation · doi:10.1007/s42154-024-00310-2 · Cited by 103
Matching-Based Task Offloading for Vehicular Edge Computing
Liu, P., Li, J., & Sun, Z. (2019) · IEEE Access · doi:10.1109/access.2019.2896000 · Cited by 93
Wang, Y., Wei, L., & Chen, P. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.12.002 · Cited by 85
Metadata
- Authors
- Du, L., & Dao, H.
- Affiliations
- Illinois Institute of Technology (US)
- ORCID
- Du, Lili
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2015-02
- Volume
- 16
- Issue
- 1
- Pages
- 66-80
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2040204314
- Cited by
- 94
- References
- 30
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 7 · 2023: 13 · 2022: 14 · 2021: 9 · 2020: 7 · 2019: 10 · 2018: 5 · 2017: 8 · 2016: 9 · 2015: 1
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Intelligent Transportation Systems (publishedVersion)
- Funders
- NSF (1436786)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Social Sciences › Transportation › Traffic Prediction and Management Techniques
- Keywords
- vehicle-to-vehicle communication, connected vehicles, traffic flow, wireless interference, traffic congestion
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