Recently, according to growth and concentration of population in urban area, congested situations at several railway stations in rush hour become a serious social issue. Therefore, designing the station more comfortably for the passengers has been desired. In other words, in order to mitigate the congested situations, a method measuring crowds flow characteristics should be developed. In this p...

There is an increasing availability of floating car data both historic, in the form of trajectory datasets and real-time, in the form of continuous data streams. This paves the way for several advanced traffic management services such as current traffic state estimation, congestion and incident detection and prediction of the short-term evolution of traffic flow. In this paper, we present an an...

Background: Volume estimation of brain is important for many neurological applications. It is necessary in measuring brain growth and changes in brain in normal/abnormal patients. Thus, accurate brain volume measurement is very important. Magnetic resonance imaging (MRI) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. St...

This paper studies traffic variable estimation, and presents a method of estimation for the number of vehicle waiting for queue (NVWQ) based on neuro-fuzzy at urban intersection. we present results of training the neural network for a detectorized intersection in Changsha City. The accuracy of NVWQ estimation using the fuzzy neural networks approaches is more than 90%. The fuzzy neural networks...

Real-time freeway traffic state estimation plays an important role in Dynamic Traffic Management (DTM) and Advanced Traveler Information Systems (ATIS). One of the model-driven estimation techniques used in practice is based on the Extended Kalman Filter (EKF). It consists of two components: the Predictor forecasts the traffic state over a short period of time, usually a few seconds; the Correc...

Airport surveillance radars (ASR) utilize a broad, cosecant-squared elevation beam pattern, rapid azimuthal antenna scanning, and coherent pulsed-Doppler processing to detect. and track approaching and departing aircraft. These radars, because of location, rapid scan rate, and direct air traffic control (ATe) data link, can also provide flight controllers with timely information on weather cond...

An algorithm for real time estimation of truck traffic in multi-lane freeway is proposed. The algorithm uses data from single loop detectors—the most widely installed surveillance technology for urban freeways in the US. The algorithm works for those freeway locations that have a truck-free lane, and exhibit high lane-to-lane speed correlation. These conditions are met by most urban freeway loc...