In this paper, the traffic flow at an unsignalized T-shaped intersection in which there are three input directions of vehicles and two right-turnings and one left-turning has been investigated by using the cellular automata traffic model. The interactions between vehicles on different lanes and effects of traffic flow states of different roads on capacity of T-shaped intersection system are ana...

A number of recent measurements and studies of real traffic from modern networks demonstrated that real traffic exhibits statistical self-similarity and is Long Range Dependent (LRD) [1]. The traditional models such as Poisson or Markovian, which are short-range dependent, are basically not applicable to model self-similar traffic. On the other hand, the dramatic expansion of networking applica...

This two-part paper considers an uplink massive device communication scenario in which a large number of devices are connected to a base-station (BS), but user traffic is sporadic so that in any given coherence interval, only a subset of users are active. The objective is to quantify the cost of active user detection and channel estimation and to characterize the overall achievable rate of a gr...

Outlier detection is of considerable interest in fields such as physical sciences, medical diagnosis, surveillance detection, fraud detection and network anomaly detection. The data mining and network management research communities are interested in improving existing score-based network traffic anomaly detection techniques because of ample scopes to increase performance. In this paper, we pre...

Derivation of statistical traffic data is highly dependent on the balance of detection and false alarm rates. In case false alarms have not been eliminated in the initial detection phase, they are often subsequently tracked, though, resulting in trajectories that do not match the true traffic situation. This finally leads to derivation of erroneous traffic parameters within the individual road ...

Vehicle detection and tracking applications play an important role for civilian and military applications such as in highway traffic surveillance control, management and urban traffic planning. Vehicle detection process on road are used for vehicle tracking, counts, average speed of each individual vehicle, traffic analysis and vehicle categorizing objectives and may be implemented under differ...