| dc.contributor.author | Manori, Anshuman | |
| dc.description.abstract | Incidents, pre-programmed or random, are major sources of congestion on urban freeways.
With many of urban freeways in the US operating close to capacity, the need to reduce the
impact of incident-related congestion has become critical. Incident Management Strategies
(IMS), when properly developed and deployed, have the potential to reduce such
congestion on urban freeways.
The purpose of this paper is to develop an analytic framework for the calibration and
application of a -simulation model for testing the impact of alternate IMS on an urban
transportation network. Initially a framework is presented in a conceptual form, and
demonstrates the calibration and application of the model on a real life network in the
Detroit metropolitan region. While the initial results are positive, full-scale validation and
testing with larger networks are recommended to justify the use of -simulation techniques
for assessing the impact of different IMS. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Optimizing Incident Management Strategies Using Simulation | en_US |
| dc.type | Master's Paper | en_US |
| dc.date.accessioned | 2024-02-16T18:48:03Z | |
| dc.date.available | 2024-02-16T18:48:03Z | |
| dc.date.issued | 2010 | |
| dc.identifier.uri | https://hdl.handle.net/10365/33671 | |
| dc.subject.lcsh | Urban transportation -- Simulation methods. | en_US |
| dc.subject.lcsh | Traffic flow -- Simulation methods. | en_US |
| dc.subject.lcsh | Traffic assignment - Simulation methods. | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Computer Science | en_US |
| ndsu.advisor | Nygard, Kendall | |
