APLIKASI TRAFFIC MONITORING SERVER MENGGUNAKAN SMS

Penelitian ini bertujuan membuat aplikasi traffic monitoring yang dapat membantu network administrator dalam memonitor server kapan dan dimana saja, yaitu dengan menggunakan SMS. Hal – hal yang akan dimonitor adalah lalu lintas data (traffic) dan koneksi jaringan server. Metode yang dilakukanadalahstudilapangan,danstudipustaka,danperancangan. Hasil yang dicapaiberupaaplikasi yang dapat mengirim dan menerima SMS ke / dari network administrator, melakukan cek koneksi ke server, dan memberikan respon kepada network administrator dalamwaktu yang relatifcepatketika koneksi ke server mengalami masalah. Selain itu, aplikasi ini dapat memantau detail paket data yang beredar pada server dan menampilkan bandwidth berdasarkan protokol. Detail paket data tersebut juga dapat dikirimkan melalui SMS. Kesimpulan yang didapat yaitu aplikasi traffic monitoring server sangat berguna karena dapat membantu network administrator untuk memonitor server dimana dan kapan saja. Disarankan untuk menambahkan fasilitas remote pada aplikasi ini

Traffic monitoring using image processing : a thesis presented in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Telecommunications Engineering at Massey University, Palmerston North, New Zealand

Traffic monitoring involves the collection of data describing the characteristics of vehicles and their movements. Such data may be used for automatic tolls, congestion and incident detection, law enforcement, and road capacity planning etc. With the recent advances in Computer Vision technology, videos can be analysed automatically and relevant information can be extracted for particular applications. Automatic surveillance using video cameras with image processing technique is becoming a powerful and useful technology for traffic monitoring. In this research project, a video image processing system that has the potential to be developed for real-time application is developed for traffic monitoring including vehicle tracking, counting, and classification. A heuristic approach is applied in developing this system. The system is divided into several parts, and several different functional components have been built and tested using some traffic video sequences. Evaluations are carried out to show that this system is robust and can be developed towards real-time applications

Enabling Low Cost Smart Road Traffic Sensing

Accurate traffic monitoring is a key aspect to develop Smart Mobility services. A road traffic monitoring system based on a network of sensors capturing together information from wireless interfaces of the devices inside the vehicles and also data about noise level is introduced here. This type of sensors obtain accurate road traffic flows and allow noise maps, that can be further analyzed to provide advanced services for mobility and pollution in the roads. Our main goal here is to develop such sensors at low cost with commodity devices, so as to boost their utilization.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Traffic Monitoring System

The Traffic Monitoring System (TMS) was implemented at the Bowling Green Flight Center as a pre-planning traffic volume tool for flight instructors to utilize when deciding on a safe location for a training event. The TMS allows the instructor to pre-determine a location during the preflight planning stage that provides the best traffic separation, rather than finding out once airborne that an designated flight training area is overcrowded leading to greater collision hazards. The Traffic Management System has provided Bowling Green Flight Center pilots and instructors with greater situational awareness of traffic and increased safety margins in flight training

Robust control tools for traffic monitoring in TCP/AQM networks

Several studies have considered control theory tools for traffic control in communication networks, as for example the congestion control issue in IP (Internet Protocol) routers. In this paper, we propose to design a linear observer for time-delay systems to address the traffic monitoring issue in TCP/AQM (Transmission Control Protocol/Active Queue Management) networks. Due to several propagation delays and the queueing delay, the set TCP/AQM is modeled as a multiple delayed system of a particular form. Hence, appropriate robust control tools as quadratic separation are adopted to construct a delay dependent observer for TCP flows estimation. Note that, the developed mechanism enables also the anomaly detection issue for a class of DoS (Denial of Service) attacks. At last, simulations via the network simulator NS-2 and an emulation experiment validate the proposed methodology