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]
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Cites
The capacity of wireless networks
Gupta, P., & Kumar, P. R. (2000) · IEEE Transactions on Information Theory · doi:10.1109/18.825799 · Cited by 8,251
CarTALK 2000: safe and comfortable driving based upon inter-vehicle-communication
Reichardt, D. M., Miglietta, M., Moretti, L., Morsink, P., & Schulz, W. H. (2003) · doi:10.1109/ivs.2002.1188007 · Cited by 303
An improved Bonferroni inequality and applications
Worsley, K. J. (1982) · Biometrika · doi:10.1093/biomet/69.2.297 · Cited by 218
Maximizing Capacity in Arbitrary Wireless Networks in the SINR Model: Complexity and Game Theory
Andrews, M., & Dinitz, M. (2009) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2009.5062048 · Cited by 200
Examining Headway Distribution Models with Urban Freeway Loop Event Data
Zhang, G., Wang, Y., Wei, H., & Chen, Y. (2007) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1999-15 · Cited by 130
Spatial Propagation of Information in Vehicular Networks
Wu, H., Fujimoto, R. M., Riley, G. F., & Hunter, M. P. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2008.923689 · Cited by 109
An analytical model of multihop connectivity of inter-vehicle communication systems
Jin, W., & Recker, W. W. (2010) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2010.01.05545 · Cited by 108
Instantaneous information propagation in a traffic stream through inter-vehicle communication
Jin, W., & Recker, W. W. (2005) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2005.04.001 · Cited by 98
A lower bound on the probability of a union
de Caen, D. (1997) · Discrete Mathematics · doi:10.1016/s0012-365x(96)00107-0 · Cited by 97
Optimization of Fuel Cost and Emissions Using V2V Communications
Alsabaan, M., Naik, K., & Khalifa, T. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2262175 · Cited by 95
Headway distribution modeling with regard to traffic status
Yin, S., Li, Z., Zhang, Y., Yao, D., Su, Y., & Li, L. (2009) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2009.5164427 · Cited by 91
Yang, X., & Recker, W. W. (2005) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2005.11.001 · Cited by 83
Geometric connectivity of vehicular ad hoc networks: Analytical characterization
Ukkusuri, S. V., & Du, L. (2008) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2007.12.002 · Cited by 83
Self-citationModeling the process of information relay through inter-vehicle communication
Wang, X. (2007) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2006.11.002 · Cited by 82
Information-Theoretic Operating Regimes of Large Wireless Networks
Özgür, A., Ramesh Johari, B., Tse, D. N. C., & Leveque, O. (2010) · IEEE Transactions on Information Theory · doi:10.1109/tit.2009.2034819 · Cited by 78
Analytical Model for Message Propagation in Delay Tolerant Vehicular Ad Hoc Networks
Agarwal, A., David Starobinski, A., & Little, T. D. C. (2008) · IEEE Vehicular Technology Conference · doi:10.1109/vetecs.2008.333 · Cited by 55
Kalman, D. (1993) · College Mathematics Journal · doi:10.1080/07468342.1993.11973562 · Cited by 51
A signal-decomposed and interference-annihilated approach to hyperspectral target detection
Du, Q., & Chang, C. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2003.821887 · Cited by 49
Coupled vehicle and information flows: Message transport on a dynamic vehicle network
Schönhof, M., Kesting, A., Treiber, M., & Helbing, D. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2006.01.057 · Cited by 48
Sharing Context-Aware Road and Safety Information
Santa, J., & Skármeta, A. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.56 · Cited by 46
The process of information propagation in a traffic stream with a general vehicle headway: A revisit
Wang, B. (., Adams, T. M., Jin, W., & Meng, Q. (2009) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2009.05.011 · Cited by 39
A static network level model for the information propagation in vehicular ad hoc networks
Ng, M., & Waller, S. T. (2010) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2010.02.006 · Cited by 36
Vehicle-to-vehicle connectivity on two parallel roadways with a general headway distribution
Yin, K., Wang, X. B., & Zhang, Y. (2013) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2013.01.005 · Cited by 29
The Process of Information Propagation Along a Traffic Stream Through Intervehicle Communication
Wang, W., Liao, S. S., Li, X., & Ren, J. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2280613 · Cited by 24
Multi-Hop Broadcasting in Vehicular Ad Hoc Networks with Shockwave Traffic
Chen, R., Jin, W., & Regan, A. (2010) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2010.5421584 · Cited by 21
An Exact Markov Process for Multihop Connectivity via Intervehicle Communication on Parallel Roads
Wang, B. X., Yin, K., & Zhang, Y. (2012) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2012.011812.100686 · Cited by 20
Du, L., & Ukkusuri, S. V. (2008) · Networks and Spatial Economics · doi:10.1007/s11067-008-9063-x · Cited by 15
Self-citationA Study on Information Throughput of Inter-vehicle Communications in a Unidirectional Traffic Stream
Wang, Z., Lu, W., & Jin, W. (2009) · doi:10.1109/cmc.2009.226 · Cited by 12
Wireless Communications Vehicle-to-Vehicle and Vehicle-to-Infrastructure
Strandén, L., Ström, E. G., & Uhlemann, E. (2008) · Chalmers Research (Chalmers University of Technology) · Cited by 8
Development of next-generation road services on SMARTWAY project
Yamada, H., Fujimoto, K., Manabe, Y., HAMADA, S., IWASAKI, K., Noga, T., Matsumoto, M., & Yoshida, J. (2007) · PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007 · Cited by 3
Research works printed but not linked: 5
- 2013, Virginia Department of Transportation
- 2013, Free GPS Navigation Turn by Turn-Waze
- 10.2307/2687013 · DOI
- 0, California Partners for Advanced Transit and Highways (PATH)
- 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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