Right-hook Crash Causality at Signalized Intersections PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Right-hook Crash Causality at Signalized Intersections PDF full book. Access full book title Right-hook Crash Causality at Signalized Intersections by Mafruhatul Jannat. Download full books in PDF and EPUB format.
Author: Mafruhatul Jannat Publisher: ISBN: Category : Automobile drivers Languages : en Pages : 241
Book Description
A Right-hook (RH) crash is a common type of bicycle-motor vehicle crash that occurs between a right-turning vehicle and through-moving bicycle at an intersection. At signalized intersections, RH crashes can occur at the onset of the green or during the latter portion of the green phase. In spite of the frequency and severity of this crash type, no experimental studies have provided compelling evidence as to the root causes of RH crashes at signalized intersections. This research provided improved understanding of RH crash causal factors during the latter portion of the green phase through an online survey and driving simulator experiment. From the 209 self-reported online survey responses, it was found that 78% of bicyclists were unaware of their stopping position with respect to stopped vehicles queued at an intersection during a red indication, and 19% of motorists (n = 246) reported that they would not yield to the adjacent bicyclist approaching from behind if they were detected in rear-view or side-view mirrors. The driving simulator experiment (n = 51) investigated RH crash causal factors related to the motorist and built environment using three different motorist performance measures: i) visual attention, ii) situation awareness (SA) and iii) crash avoidance behavior. Motorist's visual attention measure revealed that in the presence of oncoming vehicular traffic, motorists spent the majority of their visual attention looking at the oncoming traffic that posed immediate hazard to them and failed to detect a bicyclist approaching from behind. Motorists' SA measure indicated that motorists detect a bicyclist riding in their forward field of view more successfully than a bicyclist approaching from behind in the vehicle's blind spot. Motorist's crash avoidance behavior revealed that 92% of 26 observed crashes occurred with a bicyclist approaching from behind in the vehicle's blind spot and oncoming vehicles were present in 88% of those crashes. Also, 81% of observed crashes occurred due to inadequate surveillance.
Author: Mafruhatul Jannat Publisher: ISBN: Category : Automobile drivers Languages : en Pages : 241
Book Description
A Right-hook (RH) crash is a common type of bicycle-motor vehicle crash that occurs between a right-turning vehicle and through-moving bicycle at an intersection. At signalized intersections, RH crashes can occur at the onset of the green or during the latter portion of the green phase. In spite of the frequency and severity of this crash type, no experimental studies have provided compelling evidence as to the root causes of RH crashes at signalized intersections. This research provided improved understanding of RH crash causal factors during the latter portion of the green phase through an online survey and driving simulator experiment. From the 209 self-reported online survey responses, it was found that 78% of bicyclists were unaware of their stopping position with respect to stopped vehicles queued at an intersection during a red indication, and 19% of motorists (n = 246) reported that they would not yield to the adjacent bicyclist approaching from behind if they were detected in rear-view or side-view mirrors. The driving simulator experiment (n = 51) investigated RH crash causal factors related to the motorist and built environment using three different motorist performance measures: i) visual attention, ii) situation awareness (SA) and iii) crash avoidance behavior. Motorist's visual attention measure revealed that in the presence of oncoming vehicular traffic, motorists spent the majority of their visual attention looking at the oncoming traffic that posed immediate hazard to them and failed to detect a bicyclist approaching from behind. Motorists' SA measure indicated that motorists detect a bicyclist riding in their forward field of view more successfully than a bicyclist approaching from behind in the vehicle's blind spot. Motorist's crash avoidance behavior revealed that 92% of 26 observed crashes occurred with a bicyclist approaching from behind in the vehicle's blind spot and oncoming vehicles were present in 88% of those crashes. Also, 81% of observed crashes occurred due to inadequate surveillance.
Author: Jennifer Lynn Warner Publisher: ISBN: Category : Cycling accidents Languages : en Pages : 186
Book Description
A right-hook crash is a bicycle-motor vehicle crash between a right-turning motor vehicle and an adjacent through-moving bicycle. This study focuses on right-hook crashes that occur during the latter stage of the circular green indication at signalized intersections with shared right-turn and through lanes. The overall objective was to evaluate and identify engineering treatments that are effective in reducing the frequency and severity of right-hook crashes. The areas of engineering treatments that were considered are as follows: signage, pavement markings, curb radii, and protected intersections. The driver performance measures include visual attention, crash avoidance, and potential crash severity. The resulting analysis suggests that while these various driver performance metrics can be measured robustly, and all of the treatments had some positive effect on measured driver performance, it is not yet clear how to map the magnitudes of the differences to expected crash outcomes. Additional work is recommended to address the limitations of this study and to further consider the potential effects of the right-hook crash mitigation strategies from this research.
Author: Gary Arnold Davis Publisher: ISBN: Category : Pedestrians Languages : en Pages : 39
Book Description
Traffic crashes may not always result in severe or fatal injuries, but they can still have nontrivial impacts on system performance, particularly during heavy traffic conditions. One way toward reducing the frequency of such incidents is to first identify the necessary circumstances that resulted in the collision. However, road crashes, particularly intersection related crashes, are complex phenomenon and often result from different combinations of causal factors. Recently, methods for recording high-resolution arterial traffic data have been developed, and it is important for traffic safety engineers to explore such high-resolution data to understand the causes of crashes. In this research one such integrated event based system, known as SMART SIGNAL, which collects and stores detailed loop detector and signal activity, was used to identify the events leading to a crash or a potential crash and illuminate the mechanisms by which traffic conditions and driver decisions interact to produce those events. Two specific event types, a signal violation crash and vehicle pedestrian crash, were evaluated. For the signal violation crash study, SMART SIGNAL data were used to identify the incident and the vehicles involved in the crash. It was then shown how high-resolution data could support a traditional reconstruction of this crash. For vehicle pedestrian interactions, detector and signal activity data were used to predict pedestrian crash risk in the absence of clearance interval at three signalized intersections. A simulation-based method was used to first estimate crash probabilities, and then a counterfactual approach to calculate the probability of the absence of the all-red phase as a necessary condition for the occurrence of the crash provided an alternate estimate of crash-reduction factors for the all-red phase.
Author: Andy Singer Publisher: Microcosm Publishing ISBN: 1621061353 Category : Social Science Languages : en Pages : 161
Book Description
Today, we're married to our cars. But life behind the wheel of an automobile didn't come naturally to Americans. Crooked politicians, unscrupulous businessmen, burning streetcars, and convoluted tax shenanigans are a few of the players in this gripping tale of corruption, greed, and endless miles of asphalt. In Andy Singer's accessible, scandalous tale of motordom, comics, text, and historic photographs tell the story of the rise of the U.S. highway system and the corresponding demise of rail and public transportation. He also explores how we can ditch the car and rebuild a functional transportation system that can bring wealth, happiness, and freedom.
Author: Mafruhatul Jannat
Author: Mafruhatul Jannat
Author: Jennifer Lynn Warner
Author: Gary Arnold Davis
Author: Paul Zador
Author: James C. Ray
Author: William L. Mullowney
Author: 
Author: 
Author: Andy Singer
Author: