As network data rates scale-up, an understanding of how and why traffic characteristics change is needed. We study the characteristics of bulk data transfer TCP/IP flows in a fully-switched Gigabit Ethernet network. Both disk-to-disk and memory-to-memory transfers are studied. We investigate flow characteristics as a function of link speed, server load, operating system (Linux and WindowsNT), a...

Accurate estimation of saturation flow rate is a prerequisite for accurate estimation of level of service and delays of signalized intersections. Saturation flow rate of intersections depends on many factors, including traffic behavior and culture. One of the important problems of traffic behavior in Iran is the violation of law at the physical region of intersections. The main purpose of this ...

By distinguishing long and short TCP flows, we address in this paper the problem of efficiently computing the characteristics of long flows. Instead of using time consuming off-line flow classification procedures, we investigate how flow characteristics could directly be inferred from traffic measurements by means of digital signal processing techniques. The proposed approach consists of classi...

OBJECTIVE The purpose of this study was to explore the interrelationship between driver distraction and characteristics of driver behavior associated with reduced highway traffic efficiency. BACKGROUND Research on the three-phase traffic theory and on behavioral driving suggests that a number of characteristics associated with efficient traffic flow may be affected by driver distraction. Prev...

Traffic flow forecasting has been regarded as a key problem of intelligent transport systems. In this work, we propose a hybrid multimodal deep learning method for short-term traffic flow forecasting, which jointly learns the spatial-temporal correlation features and interdependence of multi-modality traffic data by multimodal deep learning architecture. According to the highly nonlinear charac...

The essence of this work is to introduce an interaction between the physical layer and higher network layers, thus enabling a more practical utilization of multiuser detection and supporting services with different QoS parameters. In this paper, a new hybrid TDMA/ Multicode (MC)-CDMA medium access control utilizing multiuser detection is proposed and analyzed. Further, two traffic flow control ...

Recently the traffic related problems have become strategically important, due to the continuously increasing vehicle number. As a result, microscopic simulation software has become an efficient method in traffic engineering for its cost-effectiveness and safety characteristics. In this paper, a new fuzzy logic based simulation software (FLOWSIM) is introduced, which can reflect the mixed traff...

This paper presents a new traffic rate estimation method for the QoS-enabled Internet, employing a flip-flop filter that measures actual changes in the characteristics of a traffic flow in a timely and accurate manner (i.e., it is agile), while ignoring short term variations or spikes in the traffic flow (i.e., it is stable). The proposed algorithm is compared with the familiar exponentially we...

neighborhoods within the hierarchy of urban structure are one of the smallest socio-physical building blocks of cities. traditional neighborhoods of iranian historic cities benefited from strong social relations which were flourished over the years and were manifested in the neighborhoods centers. in the modern era, the new master plans and the complementary local plans have disintegrated these...

When freeway traffic flow approaches capacity, minor disturbances or perturbations can cause unstable traffic streams to break down into queued or bottleneck conditions with the accompanying heavy congestion costs. As the traffic volume at which flow breaks down is uncertain, this research utilizes a stochastic capacity model to estimate congestion costs in terms of delays, fuel, and emissions....