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INTEGRATION OF AIMSUN NG AND ALMO:A SOFTWARE PLATFORM TO ASSIST ADVANCED TRAFFIC MANAGEMENT DECISION

Jaime Barcelo
Professor, Technical University of Barcelona

Heribert Kirschfink
General Manager, Momatec GmbH

David García
TSS-Transport Simulation Systems

ITS-congress Nagoya 2004
Session IS02, paper 2073

SUMMARY

The experience gained in developing software platforms to assist traffic managers in designing, evaluating and operating advanced traffic management strategies, led to a system architecture including, among others, three main components: A Real-time data collection subsystem that gathers the data provided by the traffic detectors, filters and stores them, and makes them available to other subsystems; a diagnosis module that analyzes the current data in the framework of the perspective historical information available, makes a diagnosis of the current situation on the road network of concern, makes a short term forecast of the expected conditions in the network in a do-nothing scenario, and proposes traffic management strategies to alleviate or solve the identified problem arising in a part of the network, the so called problem network; a Decision Support Module that makes the recommendations to the operator and provides him/her the suitable tools to help in the decision making process of selecting the most suitably strategy, and/or learn from the experience and generate new strategies. The decision support module also helps the decision maker in off-line processes to define and pre-test potential alternative policies. Systems based on this approach have been implemented and tested in some projects, in the last examples the implementation has been based on two new software platforms AIMSUN NG and ALMO, purposely designed and developed to fulfil these objectives. This paper describes the platforms and how they have been integrated. The integration is illustrated with examples from real projects in which they have been used.

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