Research Studies & Reports

DMV’s Research & Development Branch has been conducting research and producing studies and reports since the 1950s. Research & Development reports help DMV to measure the impact of new laws on making drivers safer. We also identify areas where we can improve our processes, explore new approaches to solving existing problems, and branch out into new opportunities to serve you better. 

Request printed copies of studies and reports by mail at:

Department of Motor Vehicles
Research and Development Branch
2570 24th Street, Mail Station: H-126
Sacramento, CA 95818
(916) 657-5805

Please include the report number, the number of copies requested, and your name, address, and phone number.

392 Results

Report ID Date Published Title Section Links
NRN095 1986/ 04

Quality Control Methodology Applied to Field Office Efficiency

By: Mary Janke & Gary Arstein-Kerslake

To describe quality control (QC) methodology and apply it to interoffice efficiency comparisons.

VII
NRN096 1986/ 07

Conceptual Plan for an Integrated Management Information System

By: Gary Arstein-Kerslake & Raymond Peck

(1) To demonstrate the utility of, and need for, an integrated management information system, (2) to implement a rudimentary system as a demonstration of the feasibility of developing a full-fledged management information system, and (3) to chart a course for the future development of a management information system.

VII
NRN097 1986/ 07

Executive Management Information System

By: Rick Williams, Steve Krimetz, & Ron O' Dell

The Executive Management Information System was an attempt to develop a departmental management information system (MIS) for DMV. Summarized production data was compiled and formatted to provide information for middle and upper management.

VII
NRN098 1987/ 04

A Queueing Model of Customer Waiting Time in DMV Field Offices

By: Anthony DeMaio

To develop a computerized queueing model for use in DMV field offices for possible reduction of customer waiting time.

VII
NRN100 1988/ 04

Standardization of Production Rates for Comparing Field Offices

By: Dan Kadell

To develop practical examples of standardization techniques for use in DMV field offices and headquarters units.

VII
NRN102 1988/ 08

Prediction of Field Office Telephone Staffing Levels

By: Anthony DeMaio

To develop a regression model for staffing telephone operations in DMV field offices.

VII
NRN103 1991/ 01

Driving Simulator Review

By: Leonard A. Marowitz

To review and evaluate the technology, costs, and _unresolved issues of contention related to driving simulators; to reach conclusions, based on research studies, about the validity of using driving simulators.

VII
NRN104 1991/ 01

Accidents, Mileage, and the Exaggeration of Risk

By: Mary K. Janke

To correct a common misinterpretation of the accidents-per-mile measure. The assumption that accidents should be proportional to miles driven is shown to be invalid and to exaggerate the accident risk of lowmileage groups.

VII
DOT HS-806688 1984/ 12

Development of Knowledge and Performance Tests for Heavy Vehicle Operators: Volume I, Development and Field Test

By: A. J. McKnight, NPSRI; S. L. Kelsey, & M. L. Edwards, NPSRI

This report describes the development and evaluation of the Truck Operator Qualifications Examination (TORQUE) consisting of the following tests: 1. Truck Operator Road Test (TORT); 2. Truck Operator Skill Test (TOST); 3. Truck Operator Manual (TOM); 4. Truck Operator Knowledge Examination (TOKE); 5. Truck Operator Pretest (TOP); 6. Truck Operator Defects Examination (TODE). The field-validation phase of the project was done in Los Angeles, California under a subcontract to the California Department of Motor Vehicles.

VI
119 125 130 136 140 2020/ 04

Annual Tabulations of Mature Driver Program Driving Record Comparisons (1989-1993). Annual Report to the Legislature of the State of California.

By: Lee Stylos, Mary K. Janke, Eric Berube, Robert A. Hagge, Kevin K. Foster

To provide annual tabulations comparing the accident and conviction records of Mature Driver Improvement (MDI) course participants and of a randomly selected group of drivers of similar age (55 and above).

I