Characterizing user mobility in second life
Proceedings of the first workshop on Online social networks
Broadcasting safety information in vehicular networks: issues and approaches
IEEE Network: The Magazine of Global Internetworking
Arbitrary street density distributions for modeling mobility in urban scenarios
ACM SIGMOBILE Mobile Computing and Communications Review
Trace-based mobility modeling for multi-hop wireless networks
Computer Communications
A vehicular mobility model based on real traffic counting data
Nets4Cars/Nets4Trains'11 Proceedings of the Third international conference on Communication technologies for vehicles
Towards realistic mobility modeling for vehicular ad hoc networks
Proceedings of the 44th Annual Simulation Symposium
On the reliability of safety message broadcastin urban vehicular ad hoc networks
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Sensitivity analysis for a realistic vehicular mobility model
Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Modeling and simulation of vehicular networks
Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Modeling and simulating ITS applications with iTETRIS
Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Poster: a framework to sense planet-scale vehicular mobility using online traffic webcameras
Proceedings of the 10th international conference on Mobile systems, applications, and services
On realistic evaluation of recent spatial and temporal mobility metrics for mobile ad hoc networks
Proceedings of the 10th ACM international symposium on Mobility management and wireless access
Performance analysis of fast handover for proxy Mobile IPv6
Information Sciences: an International Journal
Optimal deployment of charging stations for electric vehicular networks
Proceedings of the first workshop on Urban networking
Evaluation of dynamic communities in large-scale vehicular networks
Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Vehicle mobility pattern-based handover scheme using discrete-time Markov chain
Computers and Electrical Engineering
Performance Analysis with Traffic Accident for Cooperative Active Safety Driving in VANET/ITS
Wireless Personal Communications: An International Journal
Performance Analysis and Improvement Content Discovery Protocols Over Vehicular Networks
Wireless Personal Communications: An International Journal
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Vehicular Ad-hoc Networks (VANETs) have been recently attracting an increasing attention from both research and industry communities. One of the challenges posed by the study of VANETs is the definition of a vehicular mobility model providing an accurate and realistic vehicular mobility description at both macroscopic and microscopic levels. Another challenge is to be able to dynamically alter this vehicular mobility as a consequence of the vehicular communication protocols. Many mobility models have been developed by the community in order to solve these two issues. However, due to the large number of available models claiming to be adapted to vehicular traffic, and also due to their different and somehow incomparable features, understanding their true characteristics, their degree of realism with respect to vehicular mobility, and real capabilities is a hard task. In this survey, we first introduce a framework that proposes a guideline for the generation of vehicular mobility models. Then, we illustrate the different approaches chosen by the community for the development of vehicular mobility models and their interactions with network simulators. Finally, we propose an overview and taxonomy of a large range of mobility models available for vehicular ad hoc networks. The objective is to provide readers with a guideline to easily understand and objectively compare the different models, and eventually identify the one required for their needs.