today, the motorcycle riders in the streets as traffic congestion have become a challenge. if we do not have planning and scientific management for this problem, consequently the volume of traffic and accidents, crime, social damages will be increased. considering the importance of the issues, identify and assess the factors promote traffic safety, reduce crime and social problems with motorcyc...

Over a period of time the volume of network traffic generated by an Internet application is equal to the cumulative size of the packets that carried the traffic. We propose a method of estimating the expected volume of network traffic that will be generated by a population of WorldWide Web users based on estimating the cumulative size of the expected hypertext transfer protocol (HTTP) packets. ...

The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide] efficient traffic regulation. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devised a multi-agent architecture, the Adaptive and Cooperative Traffic light Agent Model (ACTAM), for...

A promising way to use limited 3G mobile resources efficiently is 3G mobile traffic offloading through WiFi by the user side. However, we currently do not know enough about how effective the mobile traffic offloading is in the wild. In this paper, we report the results of a two-day-long user-based measurement of mobile traffic offloading by over 400 android smartphone users in Japan. We first e...

Recently, content delivery services have grown rapidly over the Internet. For ASPs (Application Service Provider) providing content delivery services, P2P architecture is beneficial to reduce outgoing traffic from content servers. On the other hand, ISPs are suffering from the increase in P2P traffic. The P2P traffic is unnecessarily redundant because the same content or the same fractions of c...

The existing well-known short-term traffic forecasting algorithms require large traffic flow data sets, including information on current traffic scenarios to predict the future traffic conditions. This article proposes a random process traffic volume model that enables estimation and prediction of traffic volume at sites where such large and continuous data sets of traffic condition related inf...

This paper considers the problem of estimating the yearly traffic volume at a count site, when traffic counts are available for only a limited part of the year, perhaps only a few hours or days. A new method for estimating annual average daily traffic (AADT) based on regression is presented. In addition to being more precise than the traditional factor approach, the new method supplies the prec...