Characteristics of Heavy Truck Accidents (original) (raw)

An Analysis of Fatal Large Truck Crashes

The objective of this study by the National Center for Statistics and Analysis (NCSA) was to examine the characteristics of large truck fatal crashes. Fatal crashes involving single-unit trucks and combination trucks were studied. Two-vehicle crashes consisting of a large truck and one other vehicle were examined for vehicle-related factors and driver-related factors. Using data from the Fatality Analysis Reporting System (FARS) 1996-2000 and from the University of Michigan Transportation Research Institute's Trucks Involved in Fatal Accidents Survey (TIFA), characteristics of large truck crashes, including rollovers and jackknifes were analyzed.

Heavy Goods Vehicle: Review of Studies Involving Accident Factors

Jurnal Kejuruteraan, 2023

The use of heavy goods vehicles (HGV) has grown locally and globally. In this regard, every road user faces a high accident risk and is susceptible to traffic-related injuries and deaths. There is a substantial focus on law enforcement to prevent overloading, speeding, and illegal substance use among drivers. Nonetheless, evidence about the complex causes of HGV accidents is still scarce. Thus, this paper aims to outline the literature related to HGV study and examine factors of HGV accidents. Several factors that significantly contribute to accidents have been identified in the literature review. The study has established three main HGV accident factors with 15 sub-HGV accident factors. The Human Factor was the most dominant, while the Vehicle Factor was the least acclaimed HGV accident factor. The review also found several areas for further empirical improvements by including diverse data sources, a more extensive database, and more advanced data analysis. Moreover, technology advancements are required to capture more detailed and richer data for future studies on HGV. Future studies related to HGV accidents are essential in reducing the fatality rate in line with the Sustainable Development Goals (SDG) Goal 3 target 6, which reduces the number of individuals killed or wounded in vehicle accidents worldwide.

Initial Study On Safety Hazards by Heavy Transportation On Malaysian Roads

International Journal of Integrated Engineering

A pilot study was done to evaluate several road safety issues in Malaysia that arerelated to heavy transportation. The project consisted of survey, analyticalcalculations, and computer simulations. The survey was conducted to investigate the use of current active safety features like the warning signs, which include lights, light reflective stickers, and the color of canvas used on heavy vehicles. There were 55 responses collected that showed visibility of trucks was a problem in the dark.Fortunately, light reflective stickers could be an aid to passively illuminate the heavy vehiclesand this has become lawin Malaysia.Another issue is the slow speed like 40km/h commonly maintained by heavy vehicles when climbing up hills with heavy load, whichisa hazard since being too slow may cause a more severe rear-end collision damage. Additionally, computer impact analyses were also done by using ABAQUS, where severalrear-end collisions betweena car and a heavy vehicle were studied. Hence, aco...

Road class and large truck involvements in fatal accidents

1987

The data that have been collected by the University of Michigan Transportation Research Institute through a follow-up on large trucks involved in fatal accidents provide the opportunity to examine the relationship between road class and fatal accident involvement. The fatal accident involvement rate per mile travelled for combination trucks is calculated from University of Michigan and Federal Highway ~dministration data. The rate is higher on rural non-interstates than on the other road types. For the rest of the report, a four-way breakdown of road class is examined. This categorizes roads into urban and rural and divided and undivided. Significant differences in the distribution of accident factors are observed between road classes. This has important implications for the selection of accident countermeasures in that a countermeasure is unlikely to reduce involvements equally on all classes of road. Certain types of accident, seemingly involving fatigue, are observed to be relatively more common at dawn; however, this fatigue cannot be attributed to exhaustion after long hours of driving. 17. Kay Wrdm Medium trucks, heavy trucks, accidents, road type 18. Distribution Statom-* Unlimited 19. Sawrity Classif. (a# this-1 None a. kwity Clamsif.

HEAVY VEHICLE ACCIDENT FACTORS HEAVY VEHICLE ACCIDENT FACTORS

A general study on accidents involving Heavy Goods Vehicles (HGV) was carried out in France in 2001, which was followed by a more local analysis, focusing on accidents in the Rhône-Alpes region between 1996 and 2000. These two studies enabled statistic features of HGV accidents to be identified. The analysis of several influent factors in crashes involving at least one HGV, enabled the following elements to be examined:-their seriousness (or accident severity) HGVs above 3.5 t, which represent 2% of vehicles on the roads and account for 6.3% of the kilometres travelled, are involved in 5.2% of accidents with physical injuries and 12.9% of road fatalities which cause 13% of deaths. They represent 3.2% of the vehicles involved in road fatalities.-the road network where they appear the most (road type) There are more accidents involving physical injuries on secondary roads and main roads, than on country roads and motorways.-the manoeuvres that lead to most of the accidents (pre-crash motion) 52.7% did not change their lane. Side collisions are the most important (29.24%). Accidents with a head-on crash (14.75%) are caused by swerving, overtaking by the left, and left turns. Accidents without collision (5.14%) involve vehicles running off the road.-parameters related to infrastructure (road layout) 37% of accidents involving only one HGV occur in a curve. The road geometry therefore seems to be faulty in these cases. Road surface characteristics are highly important factors in an accident and there is a relation between road skid-resistance and the percentage of HGV accidents on wet pavements.

Causal Analysis of Accident Involvements for the Nation's Large Trucks and Combination Vehicles

Transportation Research Record, 1985

The chance of accident involvements of the Interstate Commerce Commission-authorized, large, single-unit trucks and tractor-trailers was investigated using the 1977 Bureau of Motor Carrier Safety accident and the Highway Cost Allocation Study exposure data. The model used was discrete-multivariate and capable of simultaneously analyzing both the accidents and the exposure. The variables that were found to be important predictors of accident involvements include trailer style, vehicle configuration, number of axles of power unit, trip length, road class, road surface condition, loading status, day/night, driver experience, and driver age. Particularly high accident involvement rates, of 200 involvements per 10 to the 8th power mi or higher, were shown by all van singles in local service, 3-axle-tractor singles in local service, 2-axle straight trucks in local service, and flatbed doubles in over-the-road service. Low accident involvement rates, less than 50 involvements per 10 to the...

An analysis of the severity and incident duration of truck-involved freeway accidents

Accident Analysis and Prevention, 1987

Data associated with over 9000 accidents involving large trucks and combination vehicles during a two-year period on freeways in the greater Los Angeles area are analyzed relative to collision factors, accident severity, and incident duration and lane closures. Relationships between type of collision and accident characteristics are explored using log-linear models. The results point to significant differences in several immediate consequences of truck-related freeway accidents according to collision type. These differences are associated both with the severity of the accident, in terms of injuries and fatalities, as well as with the impact of the accident on system performance, in terms of incident duration and lane closures. Hit-object and broadside collisions were the most severe types in terms of fatalities and injuries, respectively, and single-vehicle accidents are relatively more severe than two-vehicle accidents. The durations of accident incidents were found to be log-normally distributed for homogeneous groups of truck accidents, categorized according to type of collision and, in some instances, severity. The longest durations are typically associated with overturns.

Safety of light commercial vehicles in the light of the results of accident analyses and testing

2003

Light goods vehicles are becoming more important in the European vehicle fleet. There is a growing public interest in the safety of delivery vans as they become increasingly regarded as the workplace of the drivers. To date, little attention has been given to the accident involvement and to the safety performance of such vehicles both from the research and the regulatory point of view. Official statistics give an overview of the growth of the number of these vehicles and their accident involvement. More detailed accident analyses using in-depth studies are presented from analysis of cases collected by DEKRA and the Ford light truck accident study. These analyses have highlighted particular items of interest such as crash configurations, injury severity, restraint use and compatibility. The occupant safety of current delivery vans is described by the results of crash tests and brake tests carried out by DEKRA. Crash tests were carried out at a full frontal impact at 48 km/h (accordin...