The relationships among autonomous systems (ASes) can be categorized into three types: 1) transit, 2) peering and 3) sibling. Since customer ASes purchase the Internet access from provider ASes over transit links and any two ASes can exchange their traffic without any payment over peering links, transit links cost more than peering links from the economical point of view. We propose an inter-AS...

1 In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their 2 applications in dynamic OD estimation. This is done by discussing the advantages and disadvantages of 3 traffic data with support of the findings of a benchmark study. The benchmark framework is designed to 4 assess the performance of the dynamic OD estimation methods using different...

INTRODUCTION Traffic safety literature has traditionally focused on identification of location profiles where "more crashes are likely to occur" over a period of time. The analysis involves estimation of crash frequency and/or rate (i.e., frequency normalized based on some measure of exposure) with geometric design features (e.g., number of lanes) and traffic characteristics (e.g., Average Annu...

Traffic monitoring and parameters estimation from urban to non urban (battlefield environment) traffic is fast-emerging field based on acoustic signals. We present here a comprehensive review of the state-of-the-art acoustic signal for vehicular speed estimation, density estimation and classification, critical analysis and an outlook to future research directions. This field is of increasing re...

when the degree of saturation at intersection approaches one, webster’s optimum cycle length equation becomes inapplicable, because the cycle length will becomes very big when the degree of saturation approaches one and will be fully unrealistic when the degree of saturation becomes greater than one. this is not a problem for hcm2000 method. but optimum cycle length calculation in this method h...

In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fact that the basic HMM estimation algorithms have a quadratic dependence on the size of the state set. We present algorithms that reduce this computational bottleneck to linear or near-linear time, when the states can be ...

For the economic assessment of road infrastructure investments and the evaluation of operational strategies, the estimation of travel times is of particular importance. The paper introduces a twocomponent model to estimate total or average travel times on freeways. The model differentiates between travel times in fluid traffic conditions, which depend on the length of the segment, and congestio...

Design the framework to analyze the digital data set in the form of video. Using image processing technique to convert video into frames. Predict feature vectors and estimate the motion. Based on these vectors, predict the speed of the vehicle. In this paper we propose a new method for automatically calculating traffic occurred places, and to find the speed of the vehicles, volume of the vehicl...

International comparisons are frequently used to assess the road safety performance of a country or to monitor its development over time, at a national or regional level. In most instances either accident or injury risks have to be considered, which results in the need for a quantitative estimation of the amount of travel, namely traffic volumes. Only in special cases may risks be indirectly co...

This thesis presents a lightweight web application prototype for traffic volume statistics analysis and manipulation. The tool was created using a participatory design approach, in conjunction with the traffic center of Oulu. The purpose of this work is to provide experienced traffic engineers an integrated environment and a convenient way to interact and visualize traffic volume data. The targ...