DynaMIT2.0: architecture design and preliminary results on real-time data fusion for traffic prediction and crisis management

Yang Lu, Francisco Camara Pereira, Ravi Seshadri, Aidan O'Sullivan, Constantinos Antoniou, Moshe Ben-Akiva

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    The ability to monitor and predict in real-time the state of the transportation network is a valuable tool for both transportation administrators and travellers. While many solutions exist for this task, they are generally much more successful in recurrent scenarios than in non-recurrent ones. Paradoxically, it is in the latter case that such tools can make the difference. Therefore, the dynamic traffic assignment and simulation based prediction system such as DynaMIT (1) demonstrates high effectiveness in the context of sudden network disturbance or demand pattern changes. This paper presents the design, development and implementation of new components and modules of DynaMIT 2.0 which is an extension of its predecessor with recent enhancements on online calibration, context mining, scenario analyser and strategy simulation capability. Also, some preliminary results are presented using Singapore expressway to show the actual benefit of the system.
    Original languageEnglish
    Title of host publicationProceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC)
    Number of pages6
    Publication date2015
    ISBN (Print)978-1-4673-6595-6
    Publication statusPublished - 2015
    Event18th International IEEE Conference on Intelligent Transportation Systems: The Wild Frontier in Intelligent Transportation - Las Palmas, Gran Canaria, Spain
    Duration: 15 Sep 201518 Sep 2015
    Conference number: 18


    Conference18th International IEEE Conference on Intelligent Transportation Systems
    CityLas Palmas, Gran Canaria
    Internet address


    • data handling
    • data mining
    • emergency management
    • road traffic
    • sensor fusion
    • traffic information systems
    • Transportation
    • architecture design
    • Calibration
    • Computational modeling
    • context mining
    • crisis management
    • Data models
    • demand pattern changes
    • dynamic traffic assignment
    • dynamic traffic simulation
    • DynaMIT2.0
    • Prediction algorithms
    • Predictive models
    • real-time data fusion
    • Real-time systems
    • scenario analyser
    • Sensors
    • Singapore expressway
    • strategy simulation capability
    • sudden network disturbance
    • traffic prediction
    • transportation administration
    • transportation network state monitoring
    • transportation network state prediction
    • travellers


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