山东万杰高科技股份有限公司.pptVIP

On Generating Real-Time Traffic Statistical Profiles Based on Helicopter Video Data for Traffic Monitoring, Management and Emergency Response Kimon Valavanis Project team: Dr. P. S. Lin / PhD Students: A. Puri, M. Kontitsis, R. Garcia, D. Ernst SWAN’06 Objectives Collect real-time traffic video data over an intersection, road segment, highway segment, specific traffic network using single / multiple unmanned helicopters. Store data on-board for evaluation, analysis, etc. Transmit data to the traffic control centers (ground control stations) for on-the-spot / immediate decision making when necessary, as well as traffic signal timing modifications, re-routing, emergency response, etc. Convert real-time collected data to statistical profiles, to be used as inputs to traffic simulation models, aiming at improving their accuracy, predictability, parameter calibration, etc.. Goals Real-time, dynamic: traffic monitoring traffic network management optimal traffic signal management optimized traffic flow and rerouting minimized emergency response time improved resource/asset allocation in emergencies Improve: traffic simulation models model accuracy calibration predictability The Problem Lack of accurate, detailed data; Historical or distribution-based data used to calibrate simulation models; Inability to adjust model parameters in real-time; Calculating density, turning movement is extremely hard using conventional methods. The Proposed Solution Considers: Real-time “eye-in-the-sky” detailed video data; Every traffic network (segment of traffic network) has its unique characteristics (for example downtown peak-hours differ from campus peak-hours); Ability to update simulation model in real-time (especially important in case of incidents or events); Performance measures can be easily observed; Ability to predict traffic patterns using real-time data. Equipment Raptor 90 SE/Generation I Controller Box Needed: Safety Switch for Autonomous Operation 5 Hz