short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. the strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. this paper establishes the applicatio...

Road transport is a ubiquitous source of lead contamination in the soil near highways with direct and indirect impacts on human health. Accumulation of traffic-induced lead in the soils depends on gasoline lead content, traffic volume, as well as meteorological conditions. To evaluate the effect of traffic on soil lead concentration, 113 samples from the topsoil (0-15 cm) were collected in a re...

This paper extends the concept of a design hourly volume (DHV) which is derived from “ nth hour” to based on highest saturated hour. To calculate this hour at each ramp junction node, it necessary have permanent traffic counts (PTC) all ramps and main lanes. In practice, such are often not available. For cases, German Highway Capacity Manual proposes method that enables estimation DHV through s...

In this work we propose a multiple linear regression model to describe the relationship between traffic volume in Minneapolis-St Paul metropolitan area as function of several variables, which include weather conditions and holiday occurrences. Additionally, present an analysis for queue with general arrival process, denoted by (G/M/1) : (∞/FIFO). Our results indicate that uniform distribution i...

The robustness and integrity of IP networks require efficient tools for traffic monitoring and analysis, which scale well with traffic volume and network size. We address the problem of optimal large-scale flow monitoring of computer networks under resource constraints. We propose a stochastic optimization framework where traffic measurements are done by exploiting the spatial (across network l...

this paper introduces a mesh generating algorithm for solving the traffic flow equation as a conservation law equation. the idea behind the new method is to use the characteristic curves and moving non-oscillatory finite volume method. in addition, when characteristic curves intersect, the proposed scheme uses shock speed equation in order to improve computational efficiency. we also compare...

Risk assessment of urban network using traffic indicators determines vulnerable links with high danger of traffic incidents. Thus Determination of an appropriate methodology remains a big challenge to achieve this objective. This paper proposed a methodology based on data fusion concept using Fuzzy-AHP and TOPSIS to achieve this aim. The proposed methodology tries to overcome two main problems,...

Sampling techniques play a key role in achieving efficient network measurements by reducing the amount of traffic processed while trying to maintain the accuracy of network statistical behavior estimation. Despite the evolution of current techniques regarding the correctness of network parameters estimation, the overhead associated with the volume of data involved in the sampling process is sti...

Understanding the machine-type communication (MTC) traffic is a key for designing and optimizing a network and the applicable QoS scheme capable of providing adequate communication services without compromising the conventional services such as data, voice, and video. In this paper, we propose a framework for traffic modeling, generation, and load estimation for machine-type communication that ...

We deployed a recently proposed single loop detector based, real-time freeway truck traffic volume estimation algorithm to a County-level traffic database. The scale-up of the algorithm is achieved by adding an extra layer, consisting of a spatial filtering component for removing noise and an aggregation component for efficient analysis. All calculations could be done in real-time to produce a ...