00824574

Component

https://doi.org/10.3141/1779-21

http://scholar.google.com...Juni&publication_year=2001

Roadside safety inspections have been an important component of federally supported programs to improve motor carrier safety. The inspection selection system (ISS) and its successor, ISS-2, were designed to help roadside inspectors target the vehicles of Interstate carriers with the worst past safety performance. ISS was used as a starting point for developing an intrastate ISS for Wisconsin. Logistics regression was used to identify the relevant independent variables. The logit model estimates the probability that a vehicle will be found to have an out-of-service (OOS) safety violation. An alternative to the logit model, a simple direct-estimation technique that uses the total OOS rate for a motor carrier, was found to produce the highest success rates in predicting inspections that result in an OOS violation. The model can be implemented as a field inspection tool and as a means to generate a list of intrastate carriers ranked by their historical OOS violation record.

This paper appears in Transportation Research Record No. 1779, Traffic Safety 2001: Americans with Disabilities Act; Driver and Vehicle Modeling; Situation Awareness; Licensing; Driver Behavior; Enforcement; Trucks; and Motorcycles.

English

p. 157-161

2001

Transportation Research Record

0309072379

References (3) ; Tables (5)

Commercial vehicles; Estimating; Inspection; Logits; Motor carriers; Regression analysis; Roadside

Inspection selection system; Inspection violators; Out-of-service safety violation; Targeting

Wisconsin

Data and Information Technology; Highways; Motor Carriers; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning

TRIS, TRB

Feb 13 2002 12:00AM

• ANALYSIS OF ALCOHOL-RELATED MOTORCYCLE CRASHES IN FLORIDA AND RECOMMENDED COUNTERMEASURES
• ASLEEP AT THE WHEEL: SPATIAL AND TEMPORAL PATTERNS OF FATIGUE-RELATED CRASHES IN HONOLULU
• COMPARISON OF COLLISIONS OF RIGID TRUCKS AND ARTICULATED TRUCKS AGAINST ROAD SAFETY BARRIERS
• COMPUTATIONAL TECHNIQUES USED IN THE DRIVER PERFORMANCE MODEL OF THE INTERACTIVE HIGHWAY SAFETY DESIGN MODEL
• CRASH RATES AND TRAFFIC MANEUVERS OF YOUNGER DRIVERS
• CRASHES INVOLVING LONG COMBINATION VEHICLES: DATA QUALITY PROBLEMS AND RECOMMENDATIONS FOR IMPROVEMENT
• DRIVER KNOWLEDGE AND BELIEFS ABOUT ANTILOCK BRAKE SYSTEMS: HAVE PRECONDITIONS FOR BEHAVIORAL ADAPTATION BEEN MET?
• DRIVING CESSATION AMONG OLDER PEOPLE: WHEN DOES IT HAPPEN AND WHAT IMPACT DOES IT HAVE?
• EFFECTIVENESS OF TRUCK ROLLOVER WARNING SYSTEMS
• FIELD STUDY OF DRIVER'S CURVE-DETECTION PERFORMANCE IN DAYTIME AND NIGHTTIME
• FINDING FAULT IN MOTORCYCLE CRASHES IN HAWAII: ENVIRONMENTAL, TEMPORAL, SPATIAL, AND HUMAN FACTORS
• IMPACT OF PARTIAL GRADUATED DRIVER'S LICENSE PROGRAM ON TEEN MOTOR VEHICLE CRASHES IN KENTUCKY
• INFORMATION AND ORIENTATION NEEDS OF BLIND AND PARTIALLY SIGHTED PEOPLE IN PUBLIC TRANSPORTATION: BIOVAM PROJECT
• INVESTIGATION OF WINTER-WEATHER SPEED VARIABILITY IN SPORT UTILITY VEHICLES, PICKUP TRUCKS, AND PASSENGER CARS
• MEASURING DIVIDED-ATTENTION CAPABILITY OF YOUNG AND OLDER DRIVERS
• MODEL FOR SITUATION AWARENESS AND DRIVING: APPLICATION TO ANALYSIS AND RESEARCH FOR INTELLIGENT TRANSPORTATION SYSTEMS
• MODELING DRIVER BEHAVIOR BY USING MIND'S EYE COORDINATES
• MODELING TRAFFIC SAFETY BENEFITS OF INTELLIGENT TRANSPORTATION SYSTEM TECHNOLOGIES AT TRUCK INSPECTION FACILITIES: MICROSCOPIC SIMULATION
• MOTOR CARRIER SAFETY: CRASH PATTERNS OF INSPECTED COMMERCIAL VEHICLES
• PROGRESS IN WHEELCHAIR SECUREMENT: TEN YEARS AFTER THE AMERICANS WITH DISABILITIES ACT
• RADAR DETECTION OF VEHICLES IN A STRING: GAINING SITUATION AWARENESS OF A PROPAGATING CONFLICT
• SAFETY-RESTRAINT USE RATE AS FUNCTION OF LAW ENFORCEMENT AND OTHER FACTORS: PRELIMINARY ANALYSIS
• STUDY OF RADAR DETECTOR USE ON GEORGIA HIGHWAYS
• SYNTHESIS OF STUDIES ON SPEED AND SAFETY
• TOWARD AN INTEGRATED MODEL OF DRIVER BEHAVIOR IN COGNITIVE ARCHITECTURE
• TRUCK DRIVING ENVIRONMENTS AND THEIR INFLUENCE ON DRIVER FATIGUE AND CRASH RATES