Decision fusion for signalized intersection control
Journal Article
Elkosantini, Sabeur . 2015
رابط المنشور على الويب:
المجلة \ الصحيفة:
international journal of cybernetics, systems and management sciences
رقم العدد:
1
رقم الإصدار السنوي:
44
الصفحات:
57 - 76
مستخلص المنشور:
– Traffic congestion is becoming a serious problem that has adverse consequences on the socio-economy, environment, and public health of various cities worldwide. The purpose of this paper is to contribute to the continuous search for new alternative solutions to prevent or alleviate these concerns. It particularly deals with the development of decision support system based on a data fusion for the management and control of traffic at signalized intersections. The role of such systems is to manage the existing infrastructure to ease congestion and respond to crises. The proposed system is based on multi-detector data fusion, a data processing function that combines imperfect information collected from systems involving several detectors. The developed system is then tested on a virtual junction, and the results obtained are reported and discussed.