Title :
Generating Traffic Statistical Profiles Using Unmanned Helicopter-Based Video Data
Author :
Puri, Anuj ; Valavanis, Kimon ; Kontitsis, Michael
Author_Institution :
Dept. of Comput. Sci. & Eng., South Florida Univ., Tampa, FL
Abstract :
Small unmanned vertical take off and landing vehicles are used to provide the eye-in-the-sky alternative to monitoring and regulating traffic dynamically. Spatial-temporal visual data are collected in real time and they are used to generate traffic-related statistical profiles, serving as inputs to traffic simulation models. Generated profiles, which are continuously updated, are used to calibrate traffic model parameters, to obtain more accurate and reliable simulation models, and for model modifications. This method overcomes limitations of existing traffic simulation models, which suffer from outdated data, poorly calibrated parameters because of outdated data, questionable accuracy and poor predictions of traffic patterns.
Keywords :
helicopters; mobile robots; remotely operated vehicles; road traffic; traffic control; video cameras; spatial-temporal visual data; traffic monitoring; traffic regulation; traffic simulation models; traffic statistical profiles; unmanned helicopter-based video data; Air traffic control; Calibration; Communication system traffic control; Helicopters; Monitoring; Predictive models; Robotics and automation; Telecommunication traffic; Traffic control; Unmanned aerial vehicles;
Conference_Titel :
Robotics and Automation, 2007 IEEE International Conference on
Conference_Location :
Roma
Print_ISBN :
1-4244-0601-3
Electronic_ISBN :
1050-4729
DOI :
10.1109/ROBOT.2007.363095