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Summary
This summary is machine-generated.

This scoping review identifies and compares vehicular simulation tools for Vehicle-to-Vehicle (V2V) systems. It highlights challenges in integrating traffic and communication domains for effective V2V performance evaluation.

Keywords:
V2Vconnected vehiclesmicroscopic modelsmobility generatornetwork simulatorsimulations

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Area of Science:

  • Computer Science
  • Transportation Engineering
  • Network Simulation

Background:

  • Vehicle-to-Vehicle (V2V) systems are a rapidly growing research area with numerous applications.
  • Vehicular simulation tools are crucial for modeling traffic and evaluating V2V network protocols.
  • A scoping review was conducted to identify and analyze existing V2V simulators in the literature.

Purpose of the Study:

  • To systematically review and compare vehicular simulation tools used for V2V systems.
  • To identify key features, requirements, and challenges associated with V2V simulator integration.
  • To provide a reference for researchers developing new traffic simulators and V2V applications.

Main Methods:

  • A scoping review following PRISMA-ScR guidelines, focusing on English research published after 2015.
  • Inclusion criteria based on successful V2V implementation, tutorials, documentation, and discussion groups.
  • Data extraction by three reviewers, comparing simulators based on origin, traffic model, scalability, and features.

Main Results:

  • Most simulators model system behavior via pre-defined scenarios.
  • A key challenge is integrating mobility generators, VANET simulators, and network simulators for road environment simulation.
  • Effective simulation requires synchronizing transportation and communication domains, with cost-effective and scalable options available for urban V2V evaluation.

Conclusions:

  • This review offers a valuable resource for researchers in V2V systems, potentially reducing development time.
  • It serves as a reference for studying and developing advanced traffic simulators.
  • The findings emphasize the need for integrated approaches to simulate complex V2V environments effectively.