Modeling and analysis of traffic warning message dissemination system in VANETs

As the preferred underpinning technology of intelligent transportation systems (ITS), vehicular ad hoc networks (VANETs) have been widely used to cope with various traffic problems. However, implementing application-specific message dissemination in VANETs with less message disseminations is a challenge since, in fact, it is not meaningful for some vehicles to get such a message for the application requirements for alleviating traffic congestion. Thus, this paper proposes a traffic warning message dissemination system (TWMDS) framework together with a protocol for traffic warning messages (TWMs) dissemination called the reverse routing protocol (RRP). With TWMDS, when an abnormal traffic event (ATE) occurs, the vehicle causing this event generates a standardized TWM. This message is then forwarded only to the vehicles that may enter the potential congestion area (PCA) via vehicle-to-vehicle and vehicle-to-intersection interactions. In addition, three colored petri net models are developed to model and analyze the interaction behavior of TWMDS. In this way, the authors show the correctness and reliability of RRP and provide a feasibility measure for the subsequent development and implementation of TWMDS. Finally, they use Veins framework integrating OMNeT++ and SUMO to simulate the TWMDS functional modules, which further validates that RRP has a higher application value compared with three other routing protocols in TWMDS. With TWMDS, drivers can re-route their traveling paths as soon as possible to alleviate traffic congestion.

• Record URL:
  https://doi.org/10.1016/j.vehcom.2022.100566
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2214209622001139
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22142096
• Supplemental Notes:
  • © 2022 Elsevier Inc. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Ning, Haijing
  • 0000-0001-7252-7029
  • An, Yisheng
  • 0000-0003-4632-4919
  • Wei, Yaxin
  • Wu, Naiqi
  • 0000-0001-6782-458X
  • Mu, Chen
  • Cheng, Hanhan
  • Zhu, Chenxing
• Publication Date: 2023-2

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 100566
• Serial:
  • Vehicular Communications
  • Volume: 39
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2214-2096
  • Serial URL: http://www.sciencedirect.com/science/journal/22142096/1/2

Subject/Index Terms

• TRT Terms: Intelligent transportation systems; Traffic congestion; Vehicle to infrastructure communications; Vehicle to vehicle communications; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01874716
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 27 2023 8:51AM