IVBSS heavy truck platform field operational test data analysis plan

666855811PDFTech ReportUMTRI-2009-31Collision avoidance systemsSafety equipmentIntelligent transportation systemsMichiganUnited States. National Highway Traffic Safety AdministrationSayer, James R.LeBlanc, David J.Bogard, Scott E.Blankespoor, Adam D.University of Michigan. Transportation Research InstituteUnited States. Joint Program Office for Intelligent Transportation SystemsNTL-INTELLIGENT TRANSPORTATION SYSTEMS-Collision Avoidance Systems (Vehicles)NTL-SAFETY AND SECURITY-AccidentsBTS Data DirectoryThis document presents the University of Michigan Transportation Research Institute\ue2\u20ac\u2122s plan to performanalysis of data collected from the heavy truck platform field operational test of the Integrated Vehicle-Based Safety Systems (IVBSS) program. The purpose of the IVBSS program is to evaluate theeffectiveness of, and driver acceptance for, state-of-the-art integrated crash warning systems for bothpassenger cars and commercial trucks. The heavy truck platform in the IVBSS FOT includes threeintegrated crash-warning subsystems (forward crash, lateral drift, and lane-change/merge crash warnings)installed into a fleet of ten Class 8 tractors operated by Con-way Freight.Each truck is instrumented to capture detailed data regarding the driving environment, driver behavior,warning system activity, and vehicle kinematics. Twenty commercial truck drivers from Con-way Freightare operating the Class 8 tractors for ten months in place of the trucks they normally drive. Data on driveracceptance for the integrated system are being collected through a post-drive survey and debriefings.The plan describes analyses that emphasize a summary of integrated crash warning system activity,examine how the integrated system affects driver behavior, and assess driver acceptance for the integratedsystem. The analyses are intended to be complementary to analyses being performed by the program\ue2\u20ac\u2122sindependent evaluator, the Volpe National Transportation Systems Center