Simulation-based decision-making tool for adaptive traffic signal control on Tarrytown Road in the City of White Plains.
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2013-01-01
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Edition:Final report.
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Abstract:Transportation corridors are vital for our region and even the nation’s economy and quality of life. A corridor is usually a complicated system that may span multi-jurisdictions, contains multiple modes, include both freeways and local arterials, and be equipped with numerous traffic control and information systems. Managing such a complicated system requires care as performance improvement (such as reduced congestion) at one location of a corridor may cause performance degradation at other locations and as a whole a reduced corridor performance.
This research develops a simulation-based corridor decision making tool that can help evaluate alternative corridor scenarios based on corridor level mobility, fuel consumption, and emissions. Using the Tarrytown Rd in the City of White Plains, NY as a case study, this project presents (i) how a simulation-based decision-making tool can be developed; and (ii) how such a tool can be used to evaluate various corridor-wide traffic or improvement scenarios. The development of the simulation tool mainly includes the analyses of corridor data needs and collection, simulation network coding and API development, capacity calibration, origin-destination (OD) demand estimation, and simulation model calibration and validation. The scenario evaluation includes (i) the development of the scenarios which usually requires a close collaboration with the local agencies so that the evaluated scenarios are useful to their operations and management regarding the corridor; and (2) evaluations of the scenarios and results representation, which may be done based on one or multiple criteria related to corridor mobility, fuel consumption, and emissions.
The developed simulation-based tool and the scenario evaluation results revealed some important characteristics of the study corridor, based on which recommendations were provided on how the corridor might be better operated and managed under various scenarios. The results of this research further show that the proposed simulation-based decision-making tool can provide a comprehensive assessment framework for various corridor scenarios and may be used for “what-if” types of analyses for the corridor. This enables more informed decisions by the decision-makers about resource allocations and the selection of the best corridor improvement strategies.
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