چکیده مقاله
Transportation and traffic control managers have to deal with thousands of vehicles running through streets and causing traffic congestion daily In addition, other issues such as increased travel time, incidents, anomalies, environmental pollution, etc are becoming a matter of concern, especially in metropolises In the last few decades, the number of closedcircuit TVs CCTV has been increasing, in order to provide more efficient security and safety in cities As these systems become larger, effectively observing all cameras, detecting target events, and extracting useful information in a timely manner become a challenge especially in public and crowded places Whilst videos are the rich sources of traffic analytics parameters and must not be missed In this paper, we discuss the applications of CCTV video processing in transportation and traffic control management by using deep learning algorithms as the best solution to process such huge and unstructured data Then, as the first step toward using data in decision making is providing an integrated system to receive and manage data properly, an integrated architecture of video management system VMS is introduced in order to facilitate video processing to boost the efficiency of decision making Finally, we compare our VMS with well known and existing VMSs
کلیدواژهها
نویسندگان
Vahid Nasehi
BSc in Control Engineering at Sahand University of Technology, Tabriz, Iran
Mozhgan Vazifehdoost Irani
MSc in Industrial Engineering at Amirkabir University of Technology, Tehran, Iran
شیوه ارجاع
Nasehi, Vahid and Vazifehdoost Irani, Mozhgan,1398,An Architecture of Video Management System for Intelligent Transportation and Traffic Control Management,The 18th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات هجدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک6 اسفند 1398 · تهران