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Real-time data Helps Yielding Traffic Handling Models

Obiettivo

Video sensors for road traffic have proven advantages over loop detectors for various applications beyond the mere measurement of traffic variables, e.g. for incident detection. For the further deployment of traffic sensors, it is important to test their efficiency for specific surveillance and control tasks of practical importance, and to compare their performance with that of loop-based detectors. The use and full exploitation of video-based information calls for suitable modifications or even complete re-design of available loop-based surveillance or control algorithms along with field application, demonstration, and comparative evaluation. The innovation of RHYTHM lies exactly in this design and field evaluation of such algorithms while comparing results of both detection technologies, with the overall aim to improve quality of service.
RHYTHM addresses 4 tasks complying with IST objectives: Surveillance (traffic state estimation/prediction, queue tail tracking & travel-time estimation/prediction) and Control (isolated traffic-responsive ramp metering). Innovation lies in the progress of quality of service: Video sensors have proven key benefits (spatial information, low traffic speed measurement, incident detection, cost-effectiveness) over inductive loop detectors. The main project effort is the design and field evaluation of algorithms while comparing results of both detection technologies. This approach leads to an open result; e.g. algorithms capable of taking input from different types of video sensors. I.

Work description:
In order for the previously described objectives to be met, limited reviews on user needs and specifications will be conducted regarding the current stage of visual sensor deployment. Subsequently, based on the specifications of the tasks of surveillance and control considered, suitable algorithms will be designed to efficiently address the problems involved. Depending on each particular case, new algorithms will be developed or already existing ones will be modified, enhanced, or extended. After the off-line evaluation and comparison (using microscopic simulation) with results based on loop detector data, some selected algorithms will be implemented in the field. Field demonstration will follow. The German location for the test track is a 9 km stretch of dual carriageway which also has a hard shoulder, but with two parallel additional lanes bringing traffic in from the airport. Traffic volumes on the German test site are of around 70,000 veh/day. An independent third party will evaluate the results. At the end of the project, in the Final Report, recommendations will be provided regarding the trade-off of video versus loop-based data, taking into account both task efficiency and equipment and maintenance cost, along with various combinations of both types of sensors for specific tasks.

The work of RHYTHM is organized in the following workpackages:
WP1. Project Management;
WP2. Identification of User Needs;
WP3. System Design;
WP4. Off-line Evaluation;
WP5. Field Implementation and Demonstration;
WP6. Evaluation.

Milestones:
D2.1 User Needs (PM7);
D6.1 Evaluation Plan (PM12);
D3.1 Algorithms for Traffic Surveillance and Isolated Ramp Metering Based on Visual Sensors (PM20);
D4.1 Off-line Evaluation of Algorithms (PM26);
D5.1 Field Implementation and Demonstration (PM30);
D6.2 Evaluation Results (PM36).

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Coordinatore

TRAFICON N.V.
Contributo UE
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Indirizzo
MEENSESTEENWEG 449/2
8501 BISSEGEM
Belgio

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