Deriving functional safety (ISO 26262) S-parameters for vulnerable road users from national crash data

2021 ◽  
Vol 150 ◽  
pp. 105884
Author(s):  
J. Krampe ◽  
M. Junge
Keyword(s):  
Functional Safety ◽  
Iso 26262 ◽  
Crash Data ◽  
Road Users ◽  
S Parameters ◽  
Vulnerable Road Users

scholarly journals Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

2021 ◽  
Vol 11 (7) ◽  
pp. 101
Author(s):  
Andrew Paul Morris ◽  
Narelle Haworth ◽  
Ashleigh Filtness ◽  
Daryl-Palma Asongu Nguatem ◽  
Laurie Brown ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Red Light ◽  
Road User ◽  
Red Light Running ◽  
Crash Data ◽  
Passenger Vehicles ◽  
Road Users ◽  
Vulnerable Road User ◽  
Vulnerable Road Users ◽  
Road Intersections

(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.

scholarly journals Management of Speeding Comparing Two Applied Engineering Measures

2013 ◽  
Vol 4 (3) ◽  
pp. 10-14
Author(s):  
Zuhair Ebrahim ◽  
Hamid Nikraz
Keyword(s):  
Harm Minimisation ◽  
Crash Data ◽  
Road Crashes ◽  
Road Users ◽  
Engineering Measures ◽  
Vulnerable Road Users

Abstract The importance of safety comes from the responsibility towards protecting the vulnerable road users, who seem to be the victims in most road crashes. Thus, authorities tend to focus on reducing the travelling speed of the vehicles, whereas some road users may consider the move to interfere with mobility. In this study, a case study in Perth’s two roads was conducted to compare two engineering treatments of speed reductions on these two busy shopping strips. The study aim is to illustrate the effect of using the electronic flashing signs rather than the standard signs in terms of speeding reduction and harm minimisation. Crash data were analysed and supported the safety benefits of the electronic flashing signs. Authorities have measured the reduction of the travelling speeds of vehicles and found it to be encouraging. There are clear, positive safety benefits from the study in terms of engineering and enforcement measures

scholarly journals Features of Low-Income and Middle-Income Countries making Road Safety more Challenging

2020 ◽  
Vol 31 (3) ◽  
pp. 79-84
Author(s):  
R.F. Soames Job ◽  
William M Wambulwa
Keyword(s):  
Low Income ◽  
Road Safety ◽  
Cost Effective ◽  
Transit Systems ◽  
Middle Income ◽  
Crash Data ◽  
Middle Income Countries ◽  
Road Users ◽  
Road Crash ◽  
Vulnerable Road Users

Low- and Middle-Income Countries suffer the large majority (93%) of global road crash deaths and face particular challenges in managing this crisis. This paper presents global data and trends revealing underlying features of the problem for LMICs. LMICs are commonly grouped and described together in road safety commentaries, yet appreciation of the substantial differences between LICs and MICs is vital. While global deaths per 100,000 people have stabilized during the UN Decade of Road Safety, the population rate has increased in LICs (by 8.2%), while decreasing in HIC and MIC. LICs have less resources to address road safety and younger populations adding to risk. Wide variations on road safety performance exist within country income groups, with some of this variance occurring systematically between regions. Absolute numbers of deaths are increasing due to increasing population and increasing vehicle fleets in LMICs compared with HICs. The capacity of MICs, and especially LICs, to manage road safety is hampered by poor crash data to guide action as well less available funding and resources to achieve safer road engineering, safer vehicles, and protect the large proportions of vulnerable road users. Road crash deaths and injuries are retarding the economic growth of LMICs and investing road safety is a costeffective means by which LMICs can move towards becoming HICs. Vital opportunities for cost-effective savings of lives and debilitating injuries in LMICs include better management of speed (especially through infrastructure), improving safety infrastructure for pedestrians, increasing seatbelt use, and shifting travel from motorcycles to buses through provision of Bus Rapid Transit systems.

scholarly journals Vehicle-Pedestrian crashes at Intersections in Dhaka city

2017 ◽  
Vol 11 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Shakil Mohammad Rifaat ◽  
Richard Tay ◽  
Shariar Mohammad Raihan ◽  
Abrar Fahim ◽  
Shah Mostofa Touhidduzzaman
Keyword(s):  
Developed Countries ◽  
Related Factors ◽  
Crash Data ◽  
Road Users ◽  
Safety Research ◽  
Commercial Area ◽  
Vulnerable Road Users ◽  
Pedestrian Crashes ◽  
Waste Deposit ◽  
Pedestrian Collisions

Background: Pedestrians are some of the most vulnerable road users, especially in large congested cities in developing countries. In order to develop appropriate countermeasures to improve safety, research has to be conducted to understand the factors contributing to vehicle-pedestrian collisions. Objective: This study aims to identify the factors contributing to intersection crashes in a developing country context. Method: A Poisson regression model was applied to police reported crash data from the capital of Bangladesh, Dhaka. Results: This study finds that an increase in vehicle traffic and the presence of police officer, footbridge, bus stop, solar panel and waste deposit facility were associated with an increase in the number of vehicle-pedestrian crashes, whereas an increase in pedestrian volume, roads with the same number of inbound and outbound lanes, roads with greater number of lanes, and the presence of traffic signal, commercial area or offices, speed breaker and rail crossing were associated with a reduction in the number of vehicle-pedestrian crashes. Conclusion: While the results of most traffic and engineering factors are consistent with those obtained in previous studies in developed countries, some of the results on human related factors and unusual road furniture are atypical and require more locally targeted countermeasures.

scholarly journals A Rare Event Modelling Approach to Assess Injury Severity Risk of Vulnerable Road Users

Safety ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 29 ◽  
Author(s):  
Mariana Vilaça ◽  
Eloísa Macedo ◽  
Margarida C. Coelho
Keyword(s):  
Risk Factors ◽  
Urban Areas ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Rare Event ◽  
Motor Vehicle Crash ◽  
Crash Data ◽  
Road Users ◽  
Vulnerable Road Users ◽  
The One

Vulnerable road users (VRUs) represent a large portion of fatalities and injuries occurring on European Union roads. It is therefore important to address the safety of VRUs, particularly in urban areas, by identifying which factors may affect the injury severity level that can be used to develop countermeasures. This paper aims to identify the risk factors that affect the severity of a VRU injured when involved in a motor vehicle crash. For that purpose, a comparative evaluation of two machine learning classifiers—decision tree and logistic regression—considering three different resampling techniques (under-, over- and synthetic oversampling) is presented, comparing both imbalanced and balanced datasets. Crash data records were analyzed involving VRUs from three different cities in Portugal and six years (2012–2017). The main conclusion that can be drawn from this study is that oversampling techniques improve the ability of the classifiers to identify risk factors. On the one hand, this analysis revealed that road markings, road conditions and luminosity affect the injury severity of a pedestrian. On the other hand, age group and temporal variables (month, weekday and time period) showed to be relevant to predict the severity of a cyclist injury when involved in a crash.

Bi-static Reflectivity Patterns of Vulnerable Road Users in the C-V2X Frequency Range

2020 ◽  
Author(s):  
Andreas Schwind ◽  
Willi Hofmann ◽  
Sreehari Buddappagari ◽  
Ralf Stephan ◽  
Reiner S. Thoma ◽  
...  
Keyword(s):  
Frequency Range ◽  
Road Users ◽  
Vulnerable Road Users

Are Older Drivers Safe on Interchanges? Analyzing Driving Errors Causing Crashes

2021 ◽  
pp. 036119812110312
Author(s):  
Denis Elia Monyo ◽  
Henrick J. Haule ◽  
Angela E. Kitali ◽  
Thobias Sando
Keyword(s):  
Latent Class ◽  
Time Of Day ◽  
Older Drivers ◽  
Contributing Factors ◽  
Lighting Condition ◽  
Crash Data ◽  
Traffic Characteristics ◽  
Road Users ◽  
Traffic Conflicts ◽  
Penalized Logistic Regression

Older drivers are prone to driving errors that can lead to crashes. The risk of older drivers making errors increases in locations with complex roadway features and higher traffic conflicts. Interchanges are freeway locations with more driving challenges than other basic segments. Because of the growing population of older drivers, it is vital to understand driving errors that can lead to crashes on interchanges. This knowledge can assist in developing countermeasures that will ensure safety for all road users when navigating through interchanges. The goal of this study was to determine driver, environmental, roadway, and traffic characteristics that influence older drivers’ errors resulting in crashes along interchanges. The analysis was based on three years (2016–2018) of crash data from Florida. A two-step approach involving a latent class clustering analysis and the penalized logistic regression was used to investigate factors that influence driving errors made by older drivers on interchanges. This approach accounted for heterogeneity that exists in the crash data and enhanced the identification of contributing factors. The results revealed patterns that are not obvious without a two-step approach, including variables that were not significant in all crashes, but were significant in specific clusters. These factors included driver gender and interchange type. Results also showed that all other factors, including distracted driving, lighting condition, area type, speed limit, time of day, and horizontal alignment, were significant in all crashes and few specific clusters.

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