scholarly journals Exploring European Heavy Goods Vehicle Crashes Using a Three-Level Analysis of Crash Data

2022 ◽  
Vol 19 (2) ◽  
pp. 663
Author(s):  
Ron Schindler ◽  
Michael Jänsch ◽  
András Bálint ◽  
Heiko Johannsen
Keyword(s):  
System Development ◽  
Information Access ◽  
The European Union ◽  
Crash Data ◽  
Road Crashes ◽  
The Road ◽  
Passive Safety Systems ◽  
Road Crash ◽  
Causation Analysis ◽  
Level Analysis

Heavy goods vehicles (HGVs) are involved in 4.5% of police-reported road crashes in Europe and 14.2% of fatal road crashes. Active and passive safety systems can help to prevent crashes or mitigate the consequences but need detailed scenarios based on analysis of region-specific data to be designed effectively; however, a sufficiently detailed overview focusing on long-haul trucks is not available for Europe. The aim of this paper is to give a comprehensive and up-to-date analysis of crashes in the European Union that involve HGVs weighing 16 tons or more (16 t+). The identification of the most critical scenarios and their characteristics is based on a three-level analysis, as follows. Crash statistics based on data from the Community Database on Accidents on the Roads in Europe (CARE) provide a general overview of crashes involving HGVs. These results are complemented by a more detailed characterization of crashes involving 16 t+ trucks based on national road crash data from Italy, Spain, and Sweden. This analysis is further refined by a detailed study of crashes involving 16 t+ trucks in the German In-Depth Accident Study (GIDAS), including a crash causation analysis. The results show that most European HGV crashes occur in clear weather, during daylight, on dry roads, outside city limits, and on nonhighway roads. Three main scenarios for 16 t+ trucks are characterized in-depth: rear-end crashes in which the truck is the striking partner, conflicts during right turn maneuvers of the truck with a cyclist riding alongside, and pedestrians crossing the road in front of the truck. Among truck-related crash causes, information admission failures (e.g., distraction) were the main crash causation factor in 72% of cases in the rear-end striking scenario while information access problems (e.g., blind spots) were present for 72% of cases in the cyclist scenario and 75% of cases in the pedestrian scenario. The three levels of data analysis used in this paper give a deeper understanding of European HGV crashes, in terms of the most common crash characteristics on EU level and very detailed descriptions of both kinematic parameters and crash causation factors for the above scenarios. The results thereby provide both a global overview and sufficient depth of analysis of the most relevant cases and aid safety system development.

scholarly journals Exploring European Heavy Goods Vehicle Crashes Using a Three-Level Analysis of Crash Data

2021 ◽  
Author(s):  
Ron Schindler ◽  
Michael Jänsch ◽  
András Bálint ◽  
Heiko Johannsen
Keyword(s):  
System Development ◽  
Information Access ◽  
Safety System ◽  
Crash Data ◽  
The Road ◽  
Access Problems ◽  
Heavy Goods Vehicles ◽  
Causation Analysis ◽  
Level Analysis ◽  
Blind Spots

This paper addresses crashes involving heavy goods vehicles (HGV) in Europe focusing on long-haul trucks weighing 16 tons or more (16t+). The identification of the most critical scenarios and their characteristics is based on a three-level analysis: general crash statistics from CARE addressing all HGVs, results about 16t+ trucks from national crash databases and a detailed study of in-depth crash data from GIDAS, including a crash causation analysis. Most European HGV crashes occur in clear weather, during daylight, on dry roads, outside city limits, and on non-highway roads. Three main scenarios for 16t+ trucks are characterized in-depth: (1) rear-end crashes in which the truck is the striking partner, (2) conflicts during right turn maneuvers of the truck and a cyclist riding alongside and (3) pedestrians crossing the road in front of the truck. Among truck-related crash causes, information admission failures (e.g. distraction) were the main causing factors in 72% of cases in scenario (1) while information access problems (e.g. blind spots) were present for 72% of cases in scenario (2) and 75% of cases in scenario (3). The results provide both a global overview and sufficient depth of analysis in the most relevant cases and thereby aid safety system development.

scholarly journals Assessment of traffic safety at median openings using surrogate safety measures: a case study in India

2020 ◽  
Vol 80 (ET.2020) ◽  
pp. 1-12
Author(s):  
Malaya Mohanty
Keyword(s):  
Developing Countries ◽  
Traffic Safety ◽  
Transportation Engineering ◽  
Crash Data ◽  
Road Crashes ◽  
The Road ◽  
Sight Distance ◽  
Traffic Volumes ◽  
Road Crash ◽  
Stopping Sight Distance

Traffic safety is an integral part of transportation engineering. In developing countries, its importance is even more. Additionally, at uncontrolled median openings, the severity of road crashes increase many fold. Conventionally, road crash data were used to analyse safety. However, in developing countries, the accuracy of this data is highly questionable. Therefore, in this study, a new technique in addition to post encroachment time (PET), which is a surrogate safety measure is used to predict the severity of probable road crashes at median openings. After the extraction of PET values from field data, they have been compared with the minimum braking times obtained from calculation of minimum stopping sight distance. The comparison shows that while the number of road crashes may be less at lower traffic volume levels, however the severity of those crashes is much higher as compared to the road crashes occurring at high traffic volumes.

A Territorial Dimension Can Be Useful for Managing Long-Term Regional Road Safety

2019 ◽  
pp. 248-267
Author(s):  
Alessandro Sciullo ◽  
Sylvie Occelli
Keyword(s):  
Spatial Data ◽  
Population Distribution ◽  
Local Level ◽  
Crash Data ◽  
Road Crashes ◽  
Fine Grained ◽  
Urban Settlements ◽  
Road Crash ◽  
Main Observation ◽  
Gis Methods

Analysis of road crashes at the local level is necessary for targeting and implementing effective countermeasures. This chapter presents a contribution to this task. It describes the research carried out in Piedmont, Italy, where an exploratory approach has been used to link road crash data with information about the spatial characteristics of urban settlements. The analytic strategy is developed in three steps. First, fine-grained spatial data for road crashes, land use, traffic counts, and population distribution are linked by GIS methods. Second, a selection of the data is implemented at the municipality level and processed through a cluster analysis to identify territorial accident profiles. Finally, to show their analytic potential, one case study is discussed that considers road segments as main observation units.

URBAN AIR QUALITY MANAGEMENT AND INFORMATION SYSTEMS IN EUROPE: LEGAL FRAMEWORK AND INFORMATION ACCESS

2000 ◽  
Vol 02 (02) ◽  
pp. 263-272 ◽  
Author(s):  
KOSTAS KARATZAS ◽  
NICOLAS MOUSSIOPOULOS
Keyword(s):  
Air Quality ◽  
Quality Management ◽  
Information Technologies ◽  
Information Dissemination ◽  
System Development ◽  
Information Access ◽  
Integrated Approach ◽  
Air Quality Management ◽  
The European Union ◽  
Legislative Framework

The European Union (EU) legislative framework related to air quality, together with national legislation and relevant declarations of the United Nations (UN), requires an integrated approach concerning air quality management (AQM), and accessibility of related information for the citizens. In the present paper, the main requirements of this legislative framework are discussed and main air quality management and information system characteristics are drawn. The use of information technologies is recommended for the construction of such systems. The World Wide Web (WWW) is considered a suitable platform for system development and integration and at the same time as a medium for communication and information dissemination.

scholarly journals Brainy Road Accident Mitigation System

2021 ◽  
Vol 9 (VIII) ◽  
pp. 249-251
Author(s):  
Dr. B. M. Vidyavathi
Keyword(s):  
Road Safety ◽  
Large Scale ◽  
Road Transport ◽  
Road Accident ◽  
Road Accidents ◽  
Road Crashes ◽  
The Road ◽  
Road Crash ◽  
On The Road ◽  
The City

Many precious lives are lost due to road accidents because of over speeding and negligent driving every day. This is the matter of great concern for departments that deal with road safety and for the citizens. It is estimated that 80% of crashes and 65% of near collisions are due to driver’s lack of attention to traffic for three seconds before the event. The number of road crash deaths has increased by 31% from 2007 to 2017. As per the survey on the road accidents in India, according to the Ministry of Road Transport and Highways, 1, 50,785 people were killed and another 4, 94,624 were injured in 4, 80,652 road crashes in India in 2016. Now day’s accidents are taking place at large scale. Majority of the accidents occurs due to the over speeding of vehicles, though there are speed limiting boards placed at the roadside of highways also at the road side in the city. But none of vehicles (drivers) follows the speed mentioned in the speed limit boards, due to which accidents occurs.

scholarly journals Orthopaedic trauma from road crashes: is enough being done?

2009 ◽  
Vol 33 (1) ◽  
pp. 72 ◽  
Author(s):  
Lachlan H Donaldson ◽  
Kathryn Brooke ◽  
Steven G Faux
Keyword(s):  
Inpatient Rehabilitation ◽  
Cost Of Care ◽  
Outpatient Rehabilitation ◽  
Road Crashes ◽  
The Road ◽  
Road Crash ◽  
The Mean ◽  
The Cost ◽  
The Impact

A file review of patients presenting to the Emergency Department of St Vincent?s Hospital with fractures sustained in a road crash was completed to describe patterns of orthopaedic injury, acute intervention and separation as well as the cost of care for adult road crash victims. One-hundred and eighty-seven patients were included. 65.8% were male; 48.1% were pedestrians. Differing patterns of injury corresponded to the role of the patient in the road crash (eg, pedestrian, driver of vehicle, etc). The mean length of stay was 8.8 days. 35.2% of patients were prescribed a different analgesic at discharge to that which they had received in the previous 24 hours. 35.8% had a documented discussion regarding insurance matters, usually with a social worker. 11.9% were discharged to inpatient rehabilitation. 56.2% had orthopaedic follow- up arranged at discharge, while 4.8% were discharged to an outpatient rehabilitation clinic. The mean overall cost was $13 336, with patients aged over 65 costing the most. The quality of acute care for fractures sustained in road crashes could be improved with evidencebased analgesia management, increased screening for psychiatric sequelae, enhanced assistance with insurance matters and vocational issues, and closer follow-up. Further research into the impact of these factors on long-term recovery is warranted.

scholarly journals Epidemiologic Profile of Vehicular Accident Patients in the Largest Hospital in the Philippines Covering Ten Years

2021 ◽  
Vol 55 (6) ◽  
Author(s):  
Jinky Leilanie Lu ◽  
Teodoro J. Herbosa ◽  
Sophia Francesca D. Lu
Keyword(s):  
Patient Outcome ◽  
Brain Injuries ◽  
Neck Region ◽  
Road Transport ◽  
The Philippines ◽  
Road Crashes ◽  
The Road ◽  
Metro Manila ◽  
Road Crash ◽  
Clinical Records

Introduction. Globally, the number of people who die from road crashes continues to rise, reaching a high of 1.35 million in 2016. Due to this continued increase in fatalities and injuries within the road transport system, especially in low- and middle-income countries, 2011 to 2020 was declared by the United Nations General Assembly in 2010 as the Decade of Action for Road Safety. Objectives. This study looked into the epidemiology of road crashes and injuries in Metro Manila over ten years, from 2008-2017, from data gathered at the Department of Surgery of the Philippine General Hospital (PGH). Method. A retrospective review of patients’ clinical records was conducted to describe the epidemiology of road crash cases in the Trauma Division, Department of Surgery of the PGH. Clinical records of the road crash patients admitted to the division over the ten years, January 1, 2008, to December 31, 2017, were extracted from the Integrated Surgical Information System (ISIS). Results. A total of 422 patients were admitted to the PGH Department of Surgery and recorded in the ISIS database, from 2008 to 2017, who suffered from road crashes in Metro Manila. Most of these patients (80.8%) were male. The mean age of patients was 32.4 years. The highest number of admissions (27.5%) and road crash deaths (6.9%) were in 2016; the highest number was from the city of Manila (26.7%), and most happened at nighttime (61.8%) between 6:00 PM and 5:59 AM. Throughout the years, motorcycle (52.8%) was the vehicle type involved. Among patients with helmet use information, 65.4% were not wearing helmets, 91.2% had a history of alcohol intake. The majority incurred multiple injuries (82.7%), with the external region (53.8%) as the most common. Patients who sustained injuries to their head and neck region were five times more likely to die and six times more likely to have an unchanged patient outcome than those who did not have these injuries. Patients who had a GCS of 8 and below or those who had severe brain injuries were eight times more likely to die and six times more likely to have an unchanged patient outcome. Conclusion. This study looked into the epidemiology of road crash cases admitted to the Surgery Department of the PGH. Road crash injuries and deaths remain a growing concern among the citizens of Metro Manila. It is hoped that the results of this study will provide policymakers with an objective and data-driven perspective on road crashes.

scholarly journals GENERAL FEATURES OF ROAD CRASHES IN CLUJ COUNTY, ROMANIA. SPATIALITY AND CAUSALITY

2021 ◽  
Vol 5 (1) ◽  
pp. 99-123
Author(s):  
Vasile ZOTIC ◽  
Diana-Elena ALEXANDRU ◽  
István-Oliver EGRESI
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Road Safety ◽  
Negative Impact ◽  
Relative Increase ◽  
Road Crashes ◽  
The Road ◽  
Road Crash ◽  
Road Type ◽  
Urban And Rural Areas

Road crashes have become a serious issue, and their negative impact, both socially and economically, has been subject to policies and programmes worldwide as well as a research topic for numerous studies in various fields. The present study aims to identify and demonstrate the persistence of certain features related to the occurrence and location of road crashes in Cluj County, Romania, which is a territory recording a constant high road crash incidence in the last decade. We used descriptive statistics to illustrate the key features of road crashes occurring in urban and rural areas, by road type, within the administrative territory of Cluj County, Romania. The analysis was focused on four main aspects: causes, effects in terms of persons injured and deaths, occurrence by road type, and location within and outside urban areas. The years 2019, 2009, and 2018 were considered as reference moments for the values recorded for all indicators in the analysis. Results showed a general trend of decrease in road crash incidence in 2019 compared to 2009, which was also confirmed by the absolute and relative increase in the period 2018-2019. The most significant decrease was found in the number of deaths, especially in the case of road cras h e soccurring on national roads and urban streets, where the incidence is still quite high. However, when ranked considering the number of crashes caused, we noted the persistence of certain categories of triggering factors for the high incidence of road crashes related to both drivers and pedestrians. Road safety is very much related to the behaviour of all participants in traffic and not so much to the road infrastructure and quality, although road capacity may be a triggering factor for drivers’ behaviour. Further measures are needed to enhance road safety and meet the European target of halving the road crash number and fatalities until 2020 and in the next decade.

scholarly journals Practical Minimum Sample Size for Road Crash Time-Series Prediction Models

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Fady M. A. Hassouna ◽  
Khaled Al-Sahili
Keyword(s):  
Sample Size ◽  
Traffic Safety ◽  
Prediction Accuracy ◽  
Prediction Models ◽  
Sample Sizes ◽  
Crash Prediction ◽  
Crash Data ◽  
Road Crashes ◽  
Stable Conditions ◽  
Road Crash

Road crashes are problems facing the transportation sector. Crash data in many countries are available only for the past 10 to 20 years, which makes it difficult to determine whether the data are sufficient to establish reasonable and accurate prediction rates. In this study, the effect of sample size (number of years used to develop a prediction model) on the crash prediction accuracy using Autoregressive integrated moving average (ARIMA) method was investigated using crash data for years 1971–2015. Based on the availability of annual crash records, road crash data for four selected countries (Denmark, Turkey, Germany, and Israel) were used to develop the crash prediction models based on different sample sizes (45, 35, 25, and 15 years). Then, crash data for 2016 and 2017 were used to verify the accuracy of the developed models. Furthermore, crash data for Palestine were used to test the validity of the results. The used data included fatality, injury, and property damage crashes. The results showed similar trends in the models’ prediction accuracy for all four countries when predicting road crashes for year 2016. Decreasing the sample sizes led to less prediction accuracy up to a sample size of 25; then, the accuracy increased for the 15-year sample size. Whereas there was no specific trend in the prediction accuracy for year 2017, a higher range of prediction error was also obtained. It is concluded that the prediction accuracy would vary based on the varying socioeconomic, traffic safety programs and development conditions of the country over the study years. For countries with steady and stable conditions, modeling using larger sample sizes would yield higher accuracy models with higher prediction capabilities. As for countries with less steady and stable conditions, modeling using smaller sample sizes (15 years, for example) would lead to high accuracy models with good prediction capabilities. Therefore, it is recommended that the socioeconomic and traffic safety program status of the country is considered before selecting the practical minimum sample size that would give an acceptable prediction accuracy, therefore saving efforts and time spent in collecting data (more is not always better). Moreover, based on the data analysis results, long-term ARIMA prediction models should be used with caution.

Development and Application of Quality Control System for Highway Subgrade Construction

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Tong Wang
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Detection Method ◽  
System Development ◽  
Effective Control ◽  
Construction Process ◽  
Development Mode ◽  
The Road ◽  
Whole Process

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.

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