Objective: There are not enough good instruments for assessing driving behavior in Iran. This study aimed to investigate factor structure, convergent and divergent validity, and reliability of driving behavior survey (DBS). Methods: The study method is descriptive and survey. Participants comprised 147 Sample selected by convenient method. Iranian drivers who completed DBS, Manc...

A major, but unstudied, cause of crashes in China is drivers that "scramble" to gain the right of way in violation of traffic regulations. The motivation of this study is to explore the features of drivers' scrambling behaviors and the attitudes and driving skills that influence them. In this study, we established a scrambling behavior scale, and developed a driving attitude scale and a driving...

Research has highlighted the relationship between vehicle speed and increased crash risk and severity. Evidence suggests that police speed enforcement, in particular speed camera operations, can be an effective tool for reducing traffic crashes. A quantitative survey of Queensland drivers (n = 852) was conducted to investigate the impact of police speed enforcement methods on self-reported spee...

In this work, we study neural network architectures that will reduce the number of infractions made by autonomous-driving agents. These agents control vehicles providing future waypoints directly from a forward-facing camera. Building on top teacher-student approach Cheating Segmentation, investigate impact Pyramid Pooling Module and Feature Network with aim to learn more representative feature...

In this paper, we present our observations and analysis of traffic patterns, loss behavior, throughput analysis and delay behavior of an emergency response network which could be implemented very quickly and efficiently in disaster-affected areas. We collected the audio, video, broadcast packet data of various durations on fixed end-nodes and relay-nodes. We analyze and present our observation ...

This document proposes a differentiated services per-domain behavior (PDB) whose traffic may be "starved" (although starvation is not strictly required) in a properly functioning network. This is in contrast to the Internet’s "best-effort" or "normal Internet traffic" model, where prolonged starvation indicates network problems. In this sense, the proposed PDB’s traffic is forwarded with a "low...

BACKGROUND In Iran, traffic accidents and deaths from traffic accidents are among the highest in the world, and generally driver behavior rather than either technical failures or environmental conditions are responsible for traffic accidents. In the present study, we explored the extent to which aggressive traits, health status, and sociodemographic variables explain driving behavior among Iran...

We propose an anomaly detection method for finding patterns in network traffic that do not conform to legitimate (i.e., normal) behavior. The proposed method trains a baseline model describing the normal behavior of network traffic without using manually labeled traffic data. The trained baseline model is used as the basis for comparison with the audit network traffic. This anomaly detection wo...

Abstract: This paper studies the asymptotic behavior of the steady-state waiting time, W∞, of the M/G/1 queue with subexponenential processing times for different combinations of traffic intensities and overflow levels. In particular, we provide insights into the regions of large deviations where the so-called heavy traffic approximation and heavy tail asymptotic hold. For queues whose service ...

The paper shows the state of the art of the development of systems capable to reason about the traffic behavior and evolution in similar terms to an expert traffic operator. This type of systems may not be conceived to replace the human operator but to act as intelligent assistants that cooperate in the task of defining and applying traffic control decisions. Such concept of system is that of t...