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Calibration of mesoscopic traffic simulation models for dynamic traffic assignment
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kundé, Kunal Kamlakar |
| Copyright Year | 2002 |
| Abstract | This thesis tackles the calibration of mesoscopic flow propagation models in the traffic dynamics simulator of the DynaMIT Dynamic Traffic Assignment system. A three-stage methodology is developed to carry out calibration in a sequential manner at increasing levels of aggregation. Two stochastic optimization approaches-one based on stochastic gradient approximation and one that does not employ gradients-are applied to carry out the calibration along the lines of a simulation optimization problem. The parameters to be calibrated are the umin, uf, ko, kjam, o', and / parameters in the speed-density relationship for every road segment and the capacities of all road segments and intersections. The methodology is applied to a study network extracted from the Orange County region in California using traffic surveillance data obtained from the California Department of Transportation (Caltrans). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dspace.mit.edu/bitstream/handle/1721.1/84839/51873834-MIT.pdf?sequence=2 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
