This paper presents the application of microsimulation for traffic planning and forecasting, and proposes a new framework to model complex traffic conditions by calibrating and adjusting traffic parameters of a microsimulation model. By using an open source micro-simulator package, TRANSIMS, in this study, animated and numerical results were produced and analysed. The framework of traffic model...

(2014). Predicting hotel demand using destination marketing organizations' web traffic data. Introduction Forecasting future hotel guest arrivals and occupancy rates is a key aspect of hotel revenue management (Weatherford and Kimes 2003). Accurate forecasting is crucial to enable hoteliers to appropriately allocate hotel resources and fix pricing strategies (Weatherford and Kimes 2003). Tradit...

Forecasting Internet traffic is receiving an increasing attention from the computer networks domain. Indeed, by improving this task efficient traffic engineering and anomaly detection tools can be developed, leading to economic gains due to better resource management. This paper presents a Neural Network (NN) approach to predict TCP/IP traffic for all links of a backbone network, using both uni...

The growth of social activities scale, the increase of population flow and flow velocity, and the continuous development of car industry have brought more and more heavy load to the highway intercity transportation and its management system. Against this backdrop, how to greatly improve the utilization rate of traffic infrastructure and transportation equipment by analyzing and forecasting the ...

Leisure agriculture experiences continuous development. However, because most leisure farm areas are located in isolated or remote regions and the planning and construction of traffic networks is greatly restricted by terrain and geographical features, the roads in these areas are narrower than those in other regions. This study focuses on traffic flow forecasting using the advanced artificial ...

The day-to-day volatility of traffic series provides valuable information for accurately tracking the complex characteristics of short-term traffic such as stochastic noise and non-linearity. Recently, Support Vector Regression (SVR) has been applied for shortterm traffic forecasting. However, standard SVR adopts a global and fixed ε-margin, which not only fails to tolerate the day-to-day traff...

This paper explores how an autonomous agent can model dynamic environments and use that knowledge to improve its behavior. This capability is of particular importance for persistent agents, or long-term autonomy. Inspiration is drawn from circadian rhythms in nature, which drive periodic behavior in many organisms. In our approach, the chemical oscillators from nature are replaced with methods ...

The raising grandness of multimedia diligence has led to the increase in the usage of network resources. For assuring agreed Quality of Service (QoS) and for better network management, thorough analysis of traffic characteristics, modeling and prediction are crucial. In this process, a simple and effective traffic forecasting method which is suitable for time period prediction of MPEG encoded v...