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Understanding vehicle mobility is essential for devising successful protocols for vehicular communications. Vehicles move at varying speeds on roads whose complexities range from plain highway lanes to urban boulevards with intersections/circles, traffic lights and various points of interest on them. This mobility pattern combined with vehicle density fluctuations depending on location and time makes...
Clustering in vehicular ad hoc networks (VANETs) is a challenging issue due to the highly dynamic vehicle mobility and frequent communication disconnections problems. Recent years' research have proven that mobility-based clustering mechanisms considering speed, moving direction, position, destination and density, were more effective in improving cluster stability. In this paper, we propose a new...
In this work the allocation of Roadside Units (RSUs) in a V2I network is modeled as a Maximum Coverage Problem. The main objective is to maximize the number of distinct vehicles contacting the infrastructure. Two different approaches are presented to solve the problem. The first one is an ILP model that can found optimal solutions or give sharp upper and lower bounds for the problem. The second one...
Realistic map data is the basis for meaningful simulation studies of Inter-Vehicle Communication (IVC) applications and protocols [1]. Synthetic scenarios such as isolated intersections or a perfectly laid-out grid do not feature the typical mix of low and high traffic density roads and can therefore not be used as a representative scenario for (sub)urban traffic [2].
We study the presence of social communities in mobility traces from vehicular fleets. By analyzing publicly available sets of fleet vehicle mobility traces obtained from two real-world deployments — consisting of more than 2000 taxis in Shanghai and Beijing respectively, we confirm the existence of small numbers of distinct social communities in vehicular networks, which is in direct contrast to the...
Vehicular Ad Hoc Network (VANET) is considered promising for ubiquitous communication on roadways and one-hop broadcast plays a leading basic role in VANET. Thus, there is a strong need of high reliability related to packet transmission and reception especially when VANET is used for life-safety applications. Though IEEE 802.11p has been defined as an international standard for VANET, IEEE 802.11p...
Deviation detection is important for self-monitoring systems. To perform deviation detection well requires methods that, given only "normal" data from a distribution of unknown parametric form, can produce a reliable statistic for rejecting the null hypothesis, i.e. evidence for devating data. One measure of the strength of this evidence based on the data is the p-value, but few deviation...
Vehicular networks will enable a number of active safety and traffic efficiency applications. At the core of many of those applications is cooperative awareness: the ability to detect location, speed, and heading of surrounding vehicles. We empirically analyze three key metrics that shed light on the communication performance available to applications: 1)Packet Delivery Ratio: link quality in terms...
Clustering of Vanets is a technique for grouping nodes in geographical vicinity together, making the network more robust and scalable. Clustering of vehicles that is based on virtual forces has been recently introduced for highways. We propose a new algorithm, called Virtual Forces Vehicular Clustering (VFVC), to create stable clusters in Urban environments where mobility patterns of vehicles is more...
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