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Nevertheless, the adoption of connected vehicle technology poses a range of challenges, particularly in urban environments. collision avoidance, lane departure warning and speed limit alert) 8, 9.
#Vehicle simulator framework drivers#
The exchange of information, collectively known as V2X communications, could assist drivers in preventing accidents by providing warnings of danger invisible to drivers and other sensors (e.g. This communication can be sorted in terms of vehicle (V2V), infrastructure (V2I), a pedestrian (V2P), and network (V2N) 6, 7. One of the main aspects of connected vehicle research is to optimise traffic flow through the exchange of information 5. Hence, connected vehicle technology responds to this constraint, aiming to leverage inter-vehicle communication to produce safe, user-friendly, and fuel-efficient vehicle assistive technologies 3, 4. According to the World Health Organization, 1.25 million people are killed and severely injured involving vehicle accidents 2. In recent decades, a significant increase in vehicle use has increased traffic congestion and fatalities 1. Conclusions: The outcome of this study may reduce the time required for other researchers to work on other applications involving V2V systems and as a reference for the study and development of new traffic simulators.
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In addition, we also considered the ability of the vehicular simulation tools to support wireless sensors. Simulation modelling can be run using a different types of simulators that are cost-effective and scalable for evaluating the performance of V2V systems in urban environments. These simulators require the integration and synchronisation of the transportation domain and the communication domain.
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These components include mobility generators, VANET simulators and network simulators.
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However, the main challenge faced is integrating the three components to simulate a road environment in either microscopic, macroscopic or mesoscopic models. Results: Most simulators can simulate system behaviour by modelling the events according to pre-defined scenarios. Further, three reviewers initiated the data extraction phase to retrieve information from the published papers. The review considered only research published in English (in journals and conference papers) completed after 2015. This scoping review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The selected simulators are described individually and compared based on their requirements and features, i.e., origin, traffic model, scalability, and traffic features. Methods: Simulators that have limited information were not included. We conducted a scoping review to consider simulators that have been reported in the literature based on successful implementation of V2V systems, tutorials, documentation, examples, and/or discussion groups. Most researchers rely on vehicular simulation tools to model traffic and road conditions and evaluate the performance of network protocols. Background: V2V (Vehicle-to-Vehicle) is a booming research field with a diverse set of services and applications.
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