01477506

Component

https://doi.org/10.3141/2386-12

http://scholar.google.com...oyce&publication_year=2013

According to NHTSA, more than 400,000 truck accidents occurred in 2009 and approximately 7,800 of those were fatal crashes. Compared with extensive studies conducted on freeway truck safety, the research on arterial streets is considerably disproportionate. Making the connections between truck traffic generators, arterial streets are key links in door-to-door deliveries. There is an urgent need to study truck safety on arterial streets because of the strong growth of truck traffic. Truck-related crashes are expected to be reduced through careful planning of the location, design, and operation of driveways, median openings, street connections, and street sections. Through the collection of extensive data on selected arterial corridors that are heavily used by trucks, contributing factors to truck crash frequency and severity were identified with a negative binomial model and multinomial logit model. Corridor truck miles traveled, annual average daily traffic, signal density, shoulder width, and pavement serviceability index and its standard deviation are significant factors for crash frequency prediction. The multinomial logit model identified 12 causal factors for crash severity, such as posted speed limit, lane width, number of lanes, pavement condition index, and undivided roadway portion. Subsequently, a crash severity index for truck arterial corridors was developed. The findings from the study not only will benefit state and local agencies in planning, design, and management of a safer truck arterial corridor, but will also help carriers to optimize their routes from a safety perspective.

01514599

13-3047

English

pp 103–111

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309287036

Print

Figures (2) ; References (32) ; Tables (5)

Arterial highways; Crash rates; Crash severity; Truck crashes; Truck routes

Data and Information Technology; Highways; Motor Carriers; Safety and Human Factors; I81: Accident Statistics

TRIS, TRB, ATRI

Feb 5 2013 12:37PM

• Analysis of Crash Severity Based on Vehicle Damage and Occupant Injuries
• Application of Stochastic Gradient Boosting Technique to Enhance Reliability of Real-Time Risk Assessment: Use of Automatic Vehicle Identification and Remote Traffic Microwave Sensor Data
• Assessment of Exposure Proxies for Macroscopic Road Safety Prediction
• Crash Databases in Australasia, the European Union, and the United States: Review and Prospects for Improvement
• Effects of Public Rest Areas on Fatigue-Related Crashes
• Evaluation of Postencroachment Time as Surrogate for Opposing Left-Turn Crashes
• Evolutionary Game Theoretic Approach to Rear-End Events on Congested Freeway
• Examining Heterogeneity of Driver Behavior with Temporal and Spatial Factors
• Exploring Behavioral Responses of Motorists to Risk-Based Charging Mechanisms
• Feasibility of Incorporating Reliability Analysis in Traffic Safety Investigation
• Full Bayes Before-and-After Evaluation of Traffic Safety Improvements in City of Edmonton, Canada
• Hot-Spot Identification: Categorical Binary Model Approach
• Identification of Crash-Contributing Factors: Effects of Spatial Autocorrelation and Sample Data Size
• Identifying Primary and Secondary Crashes from Spatiotemporal Crash Impact Analysis
• Motion Prediction Methods for Surrogate Safety Analysis
• On-Duty Struck-By Crashes: Characteristics and Contributing Factors
• Safety and Operational Benefits of Variable Speed Limits Under Different Traffic Conditions and Driver Compliance Levels
• Safety Evaluation of Horizontal Curves on Rural Undivided Roads
• Screening Naturalistic Driving Study Data for Safety-Critical Events
• Surrogate Safety Measure for Simulation-Based Conflict Study