RGB Video now is one of the major data sources of traffic surveillance applications. In order to detect the possible traffic events in the video, traffic-related objects, such as vehicles and pedestrians, should be first detected and recognized. However, due to the 2D nature of the RGB videos, there are technical difficulties in efficiently detecting and recognizing traffic-related objects from...

in order to obtain maximum information from magnetic and gravity anomaly maps, application of an edgedetection method is necessary. in this regard two commonly used methods are derivative filters and local phase filters. in this paper, a matlab code is expanded to combine an analytic signal filter and a tilt angle filter as a new edge detection filter called asta filter. this method was demonst...

Detection of traffic congestion is an important issue both for the transportation research community and everyday life of the motorists. A new type of information is needed for a more efficient use of road networks. Remote sensing sensors installed on aircrafts or satellites enable data collection for various traffic applications over large areas, especially areas not covered with other, e.g. t...

Background and aims: This study aimed to evaluate the effect of enforcement of new traffic laws on the fatal and non- fatal injury rates in Iran. Methods: In a longitudinal, interventional controlled trial study, all subjects with history of fatal and non-fatal injuries were studied. Their injuries were caused by six risky violations (unauthorized speed, illegal overtaking, red traffic light c...

Automatic incident detection is becoming one of the core tools of urban traffic management, enabling more rapid identification and response to traffic incidents and congestion. The existing traffic detection infrastructure within many urban areas (often installed for traffic signal optimisation) provides urban traffic control systems with a near continuous stream of data on the state of traffic...

Stop and go traffic that leads to oscillate traffic flow frequently is observed on congestion flow. Unexpected reasons such as lane – changing maneuvers, lower speeds of leader vehicle and moving bottleneck cause stop and go traffic and amplifying delay and environment impacts. Stop and go traffic exactly can’t be modeled by traffic models, and also car following models based on kinematic flow ...