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ROADSIDE INSPECTION DATA AND CRASH DATA ANALYSIS - CAIT

ROADSIDE INSPECTION DATA AND CRASH DATA ANALYSIS - CAIT

ROADSIDE INSPECTION DATA AND CRASH DATA ANALYSIS - CAIT

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Roadside inspection and crash data analysisanalysis, and utilization of more advanced technologies. The inspection data qualityand integrity can significantly benefit from training, and a monitoring and trackingsystem.Phase II: Development of human-centered Decision Support System (DSS)Task 1- Development of a functional system specificationA functional specification document was prepared for the crash and inspection safetysystem. The document benefits extensively from our discussions and interviews withthe various members of the technical team as well as comprehensive survey of therelated literature. This document is included in appendix three of this report. This multilayer system will be developed to provide the following major functionalities:Automating existing manual calculations and analyses conducted by NJDOT-BTS on crash and inspection data.Providing customized filtering, assessments and predefined reports in tabularand GIS environments.Developing new evaluation methods to reduce Commercial Motor Vehicle (CMV)crashes by establishing a relation between crash and inspection records.Task 2 and Task 3– Software Design and ImplementationDue to the unexpected changes in the project schedule and its early termination, thetasks involving software design specification and implementation were not performed aspart of this project. The team from Rutgers was instead asked to prepare a newproposal for a follow up task order. The proposal has been prepared and alreadysubmitted to the NJDOT-BTS.Task 4 – Preliminary AnalysisThe Rutgers team was asked to perform this additional task, which was intended toconduct a preliminary analysis to identify locations with the most predominant crashincidents in the NJ roadway network. It involves extensive data analysis includingfrequency, crash rate calculations and geo-spatial analyses. Our preliminary findingsare reported in appendix two of this report. The team also made somerecommendations including data collection on Annual Average Daily Truck Traffic(AADTT) and others enhancements which are covered in details in appendix two.3

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