NC DMV Optimal Location Analysis
NC DMV Optimal Location Analysis
Growing population and changing demographics in North Carolina result in increased demand for department of motor vehicle (DMV) services specifically for Real ID issuance. Considering the geographic distribution and the spatial characteristics of the demand, decision makers need to open new locations and/or reallocate limited resources among existing DMV locations to improve the operational efficiency and customer experience. Measuring and evaluating the operating efficiency of existing DMV facilities including mobile DMV units require analytic techniques that rely on mathematical programming and simulation. In this study, the project team would like to ensure that all DMV offices operate at targeted efficiency and have adequate service capacity to provide maximum service quality to North Carlolina Department of Transportation (NCDOT) customers. The project team proposes to develop an geographic information system (GIS)-based data mining and optimization model to allocate available excess capacity to locations with insufficient capacity. Model solution should provide an implementable solution that will balance the workload between under and over capacity locations. Due to the combinatorial nature of the problem, solution space will be exponentially growing with the number of facilities. The proposed methodology will be developed and tested for a selected geographical region only. If the results are validated, it would be plausible to expand this work to entire State of North Carolina in future research and report to the legislative if required.
- Record URL:
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $16037
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Contract Numbers:
FHWA/NC 2020-48
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Sponsor Organizations:
North Carolina Department of Transportation
Research and Development
1549 Mail Service Center
Raleigh, NC United States 27699-1549 -
Managing Organizations:
North Carolina Department of Transportation
Research and Development
1549 Mail Service Center
Raleigh, NC United States 27699-1549 -
Project Managers:
Bradley, Curtis
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Performing Organizations:
Fayetteville State University
School of Business and Economics
Fayetteville, North Carolina United States 28301 -
Principal Investigators:
Adivar, Burcu
- Start Date: 20190901
- Expected Completion Date: 20191220
- Actual Completion Date: 0
- Source Data: 2020-48B
Subject/Index Terms
- TRT Terms: Data mining; Geographic information systems; Location; Mathematical models; Motor vehicle licensing; Optimization
- Identifier Terms: North Carolina Department of Transportation; North Carolina Division of Motor Vehicles
- Geographic Terms: North Carolina
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Terminals and Facilities;
Filing Info
- Accession Number: 01724959
- Record Type: Research project
- Source Agency: North Carolina Department of Transportation
- Contract Numbers: FHWA/NC 2020-48
- Files: RIP, STATEDOT
- Created Date: Dec 11 2019 3:54PM