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Quantifying non-recurring delay on New York City’s arterial highways.

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    This research project was undertaken for NYSDOT to provide a better understanding of the impacts of traffic incidents/accident s on traffic delays on New York City’s Arterial Highways, and to better quantify and predict non-recurring traffic delay for the city’ s arterial highways. The project had two basic goals: ( 1 ) the development of New York City input data for the New York City’ s application of the New York State DOT’s delay prediction model “CNAM” (Congestion Needs Analysis Model), and (2) investigation of t he published literature to identify models / methods that could improve the CNAM approach for estimating non-recurring delay. The research activit ies consisted of six basic tasks as follows. Task 1 developed the goals and objectives for the research project, and identi fied the performance measures to be used in the collection and analysis of traffic incident dat a for New York City. Task 2 contains a review of the models that have been developed for predicting non-recurring delay (NRD). Task 3 was started by searching for potential data sources that could used to identify nonrecurring incident characteristics and performance metrics. The task focused on agencies that are i nvolved in highway incident management/monitoring as wel l as those that collect roadway attributes data , such as physical roadway and traffic flow characteristics. Task 4 was on Look-up Tables . In this task, the “look up tables” for CNAM’s application in New York City were updated, consistent with data availability. Task 5 described how the new look up tables will change the structure of CNAM and alter its predict ions of non-recurring delay. A new set of look up tables are recommended .
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    urn:sha-512:1cb14d1b27831cf4f6fadd8fb508d77461745c5b409e32f3765fa6f7a5b13a76f672dc724015d8a162cb518e114c9b5b795e8bb9deb7ab1955740eb3086e0021
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