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Investigation of Cyclist and Pedestian Impacts with Motor Vehicles Using Experimentation and Simulation

Investigation of Cyclist and Pedestian Impacts with Motor Vehicles Using Experimentation and Simulation
Author: J. W. Watson
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

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Physical tests were performed with a bicycle and a dummy in a controlled laboratoryenvironment to reproduce cyclist accidents. The kinematics of 13 sled tests were used toidentify the cyclist head impact location, understand the interaction between the cyclistand bicycle and to validate a mathematical model. The finite element software code LS-DYNA was used to simulate 70 cyclist andpedestrian accidents with motor vehicles with four different vehicle shapes whichsupplemented the physical testing. The study has shown that when cyclists andpedestrians were struck by any of the vehicles their whole body kinematics can bedistinguished into two phases, initially a rotation followed by a sliding action. The SportsUtility Vehicle (SUV) vehicle produced more of a rotation action rather than sliding, whereas the other vehicles produced a combination of the two. The current pedestrian legislation does not cover all head impact locations for cyclistsand therefore needs to be extended to encompass the windscreen and A-Pillar regions ofthe vehicles. The wrap around distance (WAD) for all the vehicles, apart from the SUV, should be extended to encompass a larger region. For the SUV the current WAD region isadequate in protecting cyclists and pedestrians and does not need to change. Thepredicted head impactor angle for cyclists is 40 degrees which is lower than the currentlegislative value of 65 degrees and the predicted pedestrian head impact angle is higher ata value of 80 degrees for the MPV, SM and LFC. For the SUV the proposed impactorangle increased to 100 degrees for cyclists and pedestrians. This research has demonstrated significant differences in terms of input variables andoutcomes between cyclist and pedestrian accidents involving vehicles. It has usedmathematical models to obtain injury data from a human mathematical model andphysical testing to replicate real world cyclist accident scenarios. Recommendations havebeen proposed for future legislative testing techniques for cyclists, based on existingpedestrian legislation. These recommendations to alter legislation will improve vehicledesign and make future vehicles more cyclist-friendly.


Pedestrian and Cyclist Impact

Pedestrian and Cyclist Impact
Author: Ciaran Simms
Publisher: Springer
Total Pages: 230
Release: 2009-08-14
Genre: Technology & Engineering
ISBN: 9789048127429

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The aim of this book is to present pedestrian injuries from a biomechanical perspective. We aim to give a detailed treatment of the physics of pedestrian impact, as well as a review of the accident databases and the relevant injury criteria used to assess pedestrian injuries. A further focus will be the effects on injury outcome of (1) pedestrian/vehicle position and velocity at impact and (2) the influence of vehicle design on injury outcome. Most of the content of this book has been published by these and other authors in various journals, but this book will provide a comprehensive treatment of the biomechanics of pedestrian impacts for the first time. It will therefore be of value to new and established researchers alike.


In-depth Accident Investigation of Pedestrian Impact Dynamics and Development of Head Injury Risk Functions

In-depth Accident Investigation of Pedestrian Impact Dynamics and Development of Head Injury Risk Functions
Author: Yong Peng
Publisher:
Total Pages: 0
Release: 2012
Genre:
ISBN:

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Pedestrians are regarded as an extremely vulnerable and high-risk group of road users since they are unprotected in vehicle impacts. More than 1.17 million people throughout the world are killed in road traffic accidents each year. Where, about 65% of deaths involve pedestrians. The head injuries in vehicle-pedestrian collisions accounted for about 30% of all reported injuries on different body regions, which often resulted in a fatal consequence. Such injuries can result in disabilities and long-term sequence, which lead to significant social costs. It is therefore important to study the characteristics of pedestrian accidents and understand the head injury mechanism of the pedestrian so as to improve vehicle design for pedestrian protection. The aim of this study is to investigate pedestrian dynamic response and develop head injury risk functions.In order to investigate the effect of pedestrian gait, vehicle front geometry and impact velocity on the dynamic responses of the head, the multi-body dynamic (MBD) models were used to simulate the head responses in vehicle to pedestrian collisions with different vehicle types in terms of head impact point measured with Wrap Around Distance (WAD), head relative velocity and impact angle. A simulation matrix is established using five vehicle types, and two mathematical models of the pedestrians represented a 50th male adult and a 6 year old child as well as seven pedestrian gaits based on typical postures in pedestrian accidents. In order to simulate a large range of impact conditions, four vehicle velocities (30 km/h, 40 km/h, 50 km/h and 60 km/h) are considered for each pedestrian position and vehicle type.A total of 43 passenger car versus pedestrian accidents were selected from In-depth Investigation of Vehicle Accidents in Changsha, China (IVAC) and German In-Depth Accident Study (GIDAS) database for simulation study. According to real-world accident investigation, accident reconstructions were conducted using multi-body system (MBS) pedestrian and car models under MADYMO simulation environment to calculate head impact conditions, in terms of head impact velocity, head position and head orientation. In order to study kinematics of adult pedestrian, relationship curves: head impact time, throw distance, head impact velocity and vehicle impact velocity, were computed and logistic regression models: head impact velocity, resultant angular velocity, HIC value, head contact force and head injuries, were developed based on the results from accident reconstructions.The automobile windshield, with which pedestrians come into frequent contact, has been identified as one of the main contact sources for pedestrian head injuries. In order to investigate the mechanical behavior of windshield laminated glass in the caseof pedestrian head impact, windshield FE models were set up using different combination for the modeling of glass and PVB, with various connection types and two mesh sizes (5 mm and 10 mm). Each windshield model was impacted with a standard adult headform impactor in an LS-DYNA simulation environment, and the results were compared with the experimental data reported in the literatures.In order to assess head injury risks of adult pedestrians, accident reconstructions were carried out by using Hybrid III head model based on the real-world pedestrian accidents. The impact conditions were obtained from the MBS simulation, including head impact velocity, head position and head orientation. They were used to set the initial conditions in a simulation of a Hybrid III FE head model striking a windshield FE model. Logistic regression models, Skull Fracture Correlate (SFC), head linear acceleration, Head Impact Power (HIP), HIC value, resultant angular acceleration and head injuries, were developed to study brain injury risk.{...].


Evaluating the Reliability of Automatically Generated Pedestrian and Bicycle Crash Surrogates

Evaluating the Reliability of Automatically Generated Pedestrian and Bicycle Crash Surrogates
Author: Agnimitra Sengupta
Publisher:
Total Pages: 0
Release: 2023
Genre:
ISBN:

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Vulnerable road users (VRUs), such as pedestrians and bicyclists, are at a higher risk of being involved in crashes with motor vehicles, resulting in severe injuries or fatalities. Signalized intersections are a major safety concern for VRUs due to their complex and dynamic nature, highlighting the need to understand how these road users interact with motor vehicles and deploy evidence-based countermeasures to improve safety performance. Crashes involving VRUs are however infrequent, making it difficult to understand the underlying factors contributing to them. Therefore, identifying frequently observed potential conflicts is important to better understand and improve VRU safety at intersections. The Pennsylvania Department of Transportation (PennDOT) conducted a study using video-based event monitoring system to assess VRU and motor vehicle interactions at 15 signalized intersections across Pennsylvania to improve VRU safety performance. As a part of that study, automatic crash surrogates were generated from video data at 15 intersections in Pennsylvania. This research aims to assess the reliability of these automatically generated surrogates from the event monitoring system in predicting confirmed conflicts without human supervision using advanced data-driven models. The surrogate data used for analysis include relevant variables such as vehicular and VRU speeds, movements, post-encroachment time, signal states, lighting, and weather conditions. Findings highlight the varying importance and impact of specific surrogates in predicting true conflicts, with some being more informative than others. The differences between significant variables that help identify bicycle and pedestrian conflicts were also examined, revealing critical distinctions. The findings will assist transportation agencies in prioritizing infrastructure investments, such as bike lanes and crosswalks, and evaluating their effectiveness. Automatically detecting safety-critical events using video-based systems is a crucial step in developing smart infrastructure to enhance VRU safety. However, further research is needed to enhance its reliability and accuracy.


Pedestrian and Cyclist Forward Collision Warning System Effectiveness Estimation Based on Simulation of Kinematic Reconstructions

Pedestrian and Cyclist Forward Collision Warning System Effectiveness Estimation Based on Simulation of Kinematic Reconstructions
Author: François Char
Publisher:
Total Pages: 0
Release: 2020
Genre:
ISBN:

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In 2016, road fatalities reached 1.35 million in the world according to the WHO. 26% of these were pedestrians and cyclists. Nowadays, more and more cars are equipped with an emergency system (called FCW - Forward Collision Warning) that can detect pedestrians and cyclists and warn of a hazardous situation. These systems can also help in collision avoidance either by assisting driver during braking or by activating an Automatic Emergency Braking (AEB).First, an analysis on more than 3700 accident case reconstructions (2200 cyclist and 1500 pedestrian cases) from two databases, one French and one German has been performed. Accident configurations have been extracted and classified into different scenarios. A simulation software has been implemented to replay the accident kinematics with different AEB system characteristics. This allows the identification of optimum characteristics for a pedestrian and cyclist AEB in terms of road user detection and FCW trigger time and the duration of an emergency braking.Secondly, based on an campaign using a driving simulator, the driver's reactions to a FCW signal have been analyzed on different accident configurations: pedestrian/cyclist cases, with/without FCW and with different FCW triggers. 200 volunteers participated in this experiment. The results concern the gaze analysis, the driver's response to the FCW signal, the time reaction to trigger a braking and the different behavior depending on the driving configurations.Last, based on the results of the driving simulator experiment and the kinematic reconstructions of the accidents, benefits of a FCW are estimated in terms of potential avoided or mitigated accidents.


Impacts of Intersection Treatments and Traffic Characteristics on Bicyclist Safety

Impacts of Intersection Treatments and Traffic Characteristics on Bicyclist Safety
Author: Brendan Russo
Publisher:
Total Pages: 0
Release: 2022
Genre: Cycling accidents
ISBN:

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This study assessed the safety impact and performance of three different bicycle-specific intersection treatments (bike boxes, mixing zones, and bicycle signals) using surrogate safety measures (i.e., bicycle-vehicle conflicts and other non-crash measures). To date, limited research had been conducted to analyze how these treatments along with traffic characteristics (e.g., bicycle, pedestrian, and vehicle volumes) impact the frequency and severity bicycle-vehicle conflicts, and research was needed to provide practitioners guidance on when and where to install these treatments. To develop this guidance, this project analyzed data collected from three sources: data reduced from videos at 12 field study sites, microsimulation modeling, and a bicycling simulator experiment. Through estimation of Poisson regression models and other statistical analyses of these data, guidance was developed which provides practitioners information on when and where to consider installation of these treatments based on bicycle, vehicle, and pedestrian volumes, road user speeds, and other bicyclist behavioral characteristics.


Understanding Contributing Factors for Pedestrian and Cyclist Crashes and Fatalities in the City of Wichita

Understanding Contributing Factors for Pedestrian and Cyclist Crashes and Fatalities in the City of Wichita
Author: Amanda I. Aguila Gonzalez
Publisher:
Total Pages: 0
Release: 2023
Genre: Electronic dissertations
ISBN:

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As more people walk and bike in their communities, there is a corresponding increase in the number of crashes with motor vehicles. In 2018, approximately 5,977 pedestrians and 783 cyclists’ deaths were reported in the U.S. Safety interventions to decrease motor vehicle crashes have included: roadway design; safety programs; and laws. However, there is still much that is unknown about the factors that impact motor vehicle crashes with pedestrians and cyclists. This study, centered on the socioecological framework, aimed to describe the pedestrian and cyclist motor vehicle crashes occurring in Wichita, Kansas from 2008 through 2019. Specifically, to identify factors associated with fatalities/serious injuries of pedestrians and cyclists. From 2008 through 2019, 2,015 motor vehicle crashes involving a pedestrian (48.6%, n=979) or cyclist (51.4%, n=1,036) were reported. On average, 168 (SD = 25.300) motor vehicle crashes with pedestrian and cyclist were reported each year. Broadway street or intersections (31.7%, n=171) had the most pedestrian (n=86) and cyclist (n=85) crashes over the 12-year time period. Of the total motor vehicle crashes that included injury information (n=1,957), 26.3% (n=256) resulted in a severe or fatal injury for a pedestrian (n=177) or cyclist (n=79). There were significant associations between pedestrian serious/fatal injuries and: pedestrian age, driver age, time of day, road characteristics, vehicle maneuver, vehicle damage, pedestrian location before impact, pedestrian substance abuse, and driver substance abuse. Additionally, there were significant associations between cyclist serious or fatal injuries and: cyclist sex, driver sex, time of day, surface condition, zone, vehicle maneuver, vehicle damage, and cyclist location before impact. Study findings suggest that the frequency of pedestrian and cyclist crashes in the city of Wichita either remained consistent or increased over the course of 12 years, underscoring a need for action to increase safety and implement plans and policy efforts to decrease crash prevalence.


A Novel Approach to Investigate Pedestrian Safety in Non-signalized Crosswalk Environments and Related Treatments Using Trajectory Data

A Novel Approach to Investigate Pedestrian Safety in Non-signalized Crosswalk Environments and Related Treatments Using Trajectory Data
Author: Ting Fu
Publisher:
Total Pages:
Release: 2019
Genre:
ISBN:

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"The high frequency of pedestrian crash injuries and the great possibility of fatal consequences have made pedestrian safety a great focus in road safety research. Pedestrian safety becomes even more of a problem at non-signalized locations when compared to signalized crosswalk locations, due to the absence of traffic lights controlling the traffic. This dissertation aims to improve data collection methods for pedestrian safety analysis and to develop a methodological framework to investigate pedestrian safety at non-signalized crosswalk locations.The work started with reviewing methodologies and data collection methods in previous studies. Methods used in past studies were classified into five different approaches: the crash data approach and four surrogate safety approaches (the traffic data approach, the conflict event approach, the behavioral analysis approach, and the perception analysis approach). Issues in the methodologies applied, and data used were summarized. To overcome the limitations that regular visible spectrum cameras have encountered during the data collection process, the thermal camera was introduced and its performance in road user detection, classification, and speed measurement was validated through its comparison to the use of the regular camera. Results showed an evidently better performance from thermal camera for low visibility and shadow conditions. For speed measurements, the thermal camera was consistently more accurate than the regular camera at daytime and nighttime. A study was conducted to investigate pedestrian safety at crosswalks at nighttime using existing measures. Although, the methodology performed well, further limitations of using safety measure methods were discovered upon the completion of the study. A novel framework which looks at the interaction between the pedestrian and the vehicle, and their behavior during the interactions, was proposed and illustrated through a case study. The framework was further tested through a study to compare the performance of three main non-signalized crosswalk types (uncontrolled, marked, and stop sign controlled crosswalks) on pedestrian safety in Montreal. Stop sign controlled crosswalks had the best performance in protecting pedestrians while uncontrolled crosswalks performed the worst. To explore the extensive applications of the framework, the investigation of cyclist-pedestrian interactions was introduced as it has been a major but underestimated safety problem. Marked crosswalks alone fail to protect pedestrians from passing cyclists. Besides, pedestrian safety at crossings on cycling facilities with downhill grades was found to be a great issue. The dissertation will: provide a comprehensive literature review that acts as a practical reference to investigating pedestrian safety at non-signalized crosswalk locations; introduce a promising alternative, the thermal camera, to overcome the limitations of using the visible camera for automated traffic data collection; propose a new framework that describes pedestrian-vehicle interactions more precisely, compared to previous studies. This framework is promising for different purposes in road safety on various topics, such as the analysis of interactions between different types of road users, road user interaction simulation, safety treatments validations, and the performance evaluations of autonomous vehicles. " --