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Author Dalaff, Carsten ♦ Reulke, Ralf ♦ Kroen, Axel ♦ Kahl, Thomas ♦ Schischmanow, Martin Ruhe Adrian
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Wide Area Traffic Management ♦ Real-time Capability ♦ Traffic Flow ♦ Complete View ♦ Current Origin-destination ♦ Non-motorized Traffic ♦ Bad Weather Condition ♦ Road Traffic Observation ♦ Account Ois ♦ Image Processing ♦ Important Object Information ♦ Forecast Information ♦ Particular Feature ♦ Road Traffic Measurement ♦ Near Real-time Traffic Light Management ♦ New Optical Information System ♦ Automatic Traffic Detection ♦ Intelligent Transportation System ♦ Traffic Object ♦ Complete System Architecture ♦ New Approach ♦ Vision Sensor ♦ Developed Real-time Algorithm ♦ Traffic Light Management ♦ New Derivate ♦ Traffic Situation ♦ Consolidated Information ♦ Real-time Algorithm ♦ Dynamic Traffic Light Management ♦ Single Information ♦ Single Object Characteristic ♦ Image Processing Extract Traffic Data ♦ Wide Area ♦ Single Intersection ♦ Anonymous Vehicle Recognition ♦ Traffic Object Detection System
Description OIS is a new Optical Information System for road traffic observation and management. The complete system architecture from the sensor for automatic traffic detection up to the traffic light management for a wide area is designed under the requirements of an intelligent transportation system. Particular features of this system are the vision sensors with integrated computational and real-time capabilities, real-time algorithms for image processing and a new approach for dynamic traffic light management for a single intersection as well as for a wide area. The developed real-time algorithms for image processing extract traffic data even at night and under bad weather conditions. This approach opens the opportunity to identify and specify each traffic object, its location, its speed and other important object information. Furthermore, the algorithms are able to identify accidents, and non-motorized traffic like pedestrians and bicyclists. Combining all these single information the system creates new derivate and consolidated information. This leads to a new and more complete view on the traffic situation of an intersection. Only by this a dynamic and near real-time traffic light management is possible. To optimize a wide area traffic management it is necessary to improve the modelling and forecasting of traffic flow. Therefore the information of the current Origin-Destination (OD) flow is essentially. Taking this into account OIS also includes an approach for anonymous vehicle recognition. This approach is based on single object characteristics, order of objects and forecast information, which will be obtained from intersection to intersection.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2003-01-01
Publisher Institution In: Institute of Information Sciences and Technology, Massey University [Hrsg.]: IVCNZ Image + Vision comPuting 03, S. 78-83, IVCNZ Image + Vision comPuting 03