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Developing a 24-Hour Large-Scale Microscopic Traffic Simulation Model for the Before-and-After Study of a New Tolled Freeway in the Washington, DC-Baltimore Region.
- Source :
- Journal of Transportation Engineering; Jun2015, Vol. 141 Issue 6, p05015001-05015001, 11p
- Publication Year :
- 2015
-
Abstract
- For determining highly disaggregate details about traffic dynamics, microscopic traffic simulation has long proven to be a valuable tool for the evaluation of development plans and operation/control strategies. With recent advances in computing capabilities, research interest in large-scale microscopic simulation has never been greater. This case study develops a 24-h large-scale microscopic traffic simulation model for theWashington, DC, metropolitan area. The model consists of over 7,000 links, 3,500 nodes, 400 signalized intersections, and over 40,000 origin-destination pairs. Various field measurements, such as time-dependent traffic counts and corridor travel times, have been used for model calibration/validation. The EPA's Motor Vehicle Emission Simulator is linked with the microscopic simulation model for the estimation of environmental impacts. The calibrated model system has been used to comprehensively evaluate a newly built toll road in Maryland, the Intercounty Connector. Various network-level and corridor-level performance measures are quantified. The case study demonstrates the feasibility and capability of large-scale microscopic simulation in transportation applications. It establishes an example for modelers and practitioners who are interested in constructing a large-scale model system. The developed 24-h simulation model system of traffic and emissions has the potential to serve as a test bed for integration with other analysis tools, such as behavioral and optimization models. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0733947X
- Volume :
- 141
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Journal of Transportation Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 102718687
- Full Text :
- https://doi.org/10.1061/(ASCE)TE.1943-5436.0000767