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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Milkovits, M. Huang, E. Antoniou, C. Ben-Akiva, M. Lopes, J.A. |
| Copyright Year | 2010 |
| Abstract | Real-time transportation models are proven to be highly useful for traffic management and generation of traveler guidance information. The current state of the practice in real-time transportation modeling is represented by DynaMIT, which generates consistent anticipatory information about the future state of the transportation network based on current real-time data. DynaMIT has been effectively applied across a variety of locations and sensor configurations. The next generation of real-time models will be multi-modal and include representation of dynamic pricing and commercial vehicles. To support this, these models will be based on activity-based demand and will make use of the latest software design strategies, enhanced data availability and personal/vehicle connectivity. |
| Starting Page | 45 |
| Ending Page | 51 |
| File Size | 627189 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424477838 |
| DOI | 10.1109/SIMUL.2010.28 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Online Calibration Predictive models Real-Time Model Dynamic Traffic Assignment Calibration Mathematical model State estimation Vehicles |
| Content Type | Text |
| Resource Type | Article |
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