scholarly journals Improving E-Bike Safety on Urban Highways in China

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Linjun Lu ◽  
Chen Wang ◽  
Tao Wang
Keyword(s):  
Descriptive Analysis ◽  
Red Light ◽  
Drunk Driving ◽  
Educational Background ◽  
Passenger Cars ◽  
Red Light Running ◽  
Crash Data ◽  
Driving Behaviors ◽  
Fatal Crashes ◽  
Safety Countermeasures

This paper aims to examine characteristics of e-bike fatal crashes on urban highways in China. Crash data were retrieved from the three-year crash reports (2010–2012) of Taixing City. Descriptive analysis was conducted to examine characteristics of e-bike riders, drivers, and crashes. The important findings include the following: (1) most fatal crashes were related to e-bike riders’ aberrant driving behaviors, including driving in motorized lanes, red-light running, driving against the direction of traffic, inattentive driving, and drunk driving; (2) e-bike riders with lower educational background tended to perform illegal or inattentive driving behaviors in fatal crashes; (3) most drivers were not found to commit any faults and very few drivers were found to commit drunk driving offences; (4) most nighttime fatal crashes were related to absence of street lightings; (5) heavy good vehicles (HGVs) and small passenger cars were the two vehicle types that were mostly involved in the e-bike fatal crashes. This study provides useful information that can help traffic engineers better understand e-bike safety in China and develop safety countermeasures.

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.

Real-Time Prediction of Vehicle Trajectories for Proactively Identifying Risky Driving Behaviors at High-Speed Intersections

2018 ◽  
Vol 2672 (38) ◽  
pp. 233-244 ◽  
Author(s):  
Chaopeng Tan ◽  
Nan Zhou ◽  
Fen Wang ◽  
Keshuang Tang ◽  
Yangbeibei Ji
Keyword(s):  
Phase Transition ◽  
High Speed ◽  
Red Light ◽  
Risky Behaviors ◽  
Risky Driving ◽  
Red Light Running ◽  
Driving Behaviors ◽  
Vehicle Trajectories ◽  
Single Vehicle ◽  
Risky Driving Behaviors

At high-speed intersections in many Chinese cities, a traffic-light warning sequence at the end of the green phase—three seconds of flashing green followed by three seconds of yellow—is commonly implemented. Such a long phase transition time leads to heterogeneous decision-making by approaching drivers as to whether to pass the signal or stop. Therefore, risky driving behaviors such as red-light running, abrupt stop, and aggressive pass are more likely to occur at these intersections. Proactive identification of risky behaviors can facilitate mitigation of the dilemma zone and development of on-board safety altering strategies. In this study, a real-time vehicle trajectory prediction method is proposed to help identify risky behaviors during the signal phase transition. Two cases are considered and treated differently in the proposed method: a single vehicle case and a following vehicle case. The adaptive Kalman filter (KF) model and the K-nearest neighbor model are integrated to predict vehicle trajectories. The adaptive KF model and intelligent driver model are fused to predict the following vehicles’ trajectories. The proposed models are calibrated and validated using 1,281 vehicle trajectories collected at three high-speed intersections in Shanghai. Results indicate that the root mean square error between the predicted trajectories and the actual trajectories is 5.02 m for single vehicles and 2.33 m for following vehicles. The proposed method is further applied to predict risky behaviors, including red-light running, abrupt stop, aggressive pass, speeding pass, and aggressive following. The overall prediction accuracy is 95.1% for the single vehicle case and 96.2% for the following vehicle case.

Influence of Crash Report Forms on Red Light Running Crash Data

2013 ◽  
Vol 1 (2) ◽  
pp. 197-201
Author(s):  
Khaled Shaaban ◽  
Dina Elnashar ◽  
Essam Radwan
Keyword(s):  
Red Light ◽  
Red Light Running ◽  
Crash Data

scholarly journals Examination of Fault, Unsafe Driving Acts, and Total Harm in Car-Truck Collisions

2003 ◽  
Vol 1830 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Forrest M. Council ◽  
David L. Harkey ◽  
Daniel T. Nabors ◽  
Asad J. Khattak ◽  
Yusuf M. Mohamedshah
Keyword(s):  
North Carolina ◽  
Information System ◽  
Safety Information ◽  
Highway Safety ◽  
Passenger Cars ◽  
Crash Data ◽  
Fatal Crash ◽  
Fatal Crashes ◽  
Facility Type ◽  
Crash Types

Crashes involving large trucks and passenger cars are important topics for research and countermeasure development since they represent more than 60% of all fatal truck crashes and because the passenger car occupant is much more likely to be killed. This study ( a) examined “fault” in total car–truck crashes using North Carolina Highway Safety Information System (HSIS) data for comparison with fault analyzed in previous studies of fatal crashes, ( b) used general estimates system (GES) crash data to verify unsafe driving acts (UDAs) identified by expert panels in past studies, and ( c) used North Carolina HSIS data to identify critical combinations of roadway facility type, roadway location, and crash type based on “total harm”—a measure combining both the frequency and severity of the crash. Fault in total North Carolina car–truck crashes was found to differ significantly from past fatal crash studies, with the truck driver being at fault more often than the car driver both overall and in certain crash types. Car drivers continue to be at fault much more often in head-on and angle crashes. While it was not possible to analyze all UDAs identified in prior studies, when possible, the current analyses revealed differences between the GES crash data results and the expert-based results, pointing to the need for better UDA methods if they are to be used to target treatments. Finally, using the total-harm analysis with North Carolina car–truck crashes indicated that undivided rural arterials and collectors should be primary targets for further investigation and for treatment.

Examining Driver Injury Severity in Single-Vehicle Road Departure Crashes Involving Large Trucks

2021 ◽  
pp. 036119812110101
Author(s):  
Mehdi Hosseinpour ◽  
Kirolos Haleem
Keyword(s):  
Rural Areas ◽  
Injury Severity ◽  
Factors Affecting ◽  
Crash Data ◽  
Natural Logarithm ◽  
Concrete Barriers ◽  
Local Roads ◽  
Single Vehicle ◽  
Safety Countermeasures ◽  
Injury Severities

Road departure (RD) crashes are among the most severe crashes that can result in fatal or serious injuries, especially when involving large trucks. Most previous studies neglected to incorporate both roadside and median hazards into large-truck RD crash severity analysis. The objective of this study was to identify the significant factors affecting driver injury severity in single-vehicle RD crashes involving large trucks. A random-parameters ordered probit (RPOP) model was developed using extensive crash data collected on roadways in the state of Kentucky between 2015 and 2019. The RPOP model results showed that the effect of local roadways, the natural logarithm of annual average daily traffic (AADT), the presence of median concrete barriers, cable barrier-involved collisions, and dry surfaces were found to be random across the crash observations. The results also showed that older drivers, ejected drivers, and drivers trapped in their truck were more likely to sustain severe single-vehicle RD crashes. Other variables increasing the probability of driver injury severity have included rural areas, dry road surfaces, higher speed limits, single-unit truck types, principal arterials, overturning-consequences, truck fire occurrence, segments with median concrete barriers, and roadside fixed object strikes. On the other hand, wearing seatbelt, local roads and minor collectors, higher AADT, and hitting median cable barriers were associated with lower injury severities. Potential safety countermeasures from the study findings include installing median cable barriers and flattening steep roadside embankments along those roadway stretches with high history of RD large-truck-related crashes.

Prediction of Red Light Running Based on Statistics of Discrete Point Sensors

2009 ◽  
Vol 2128 (1) ◽  
pp. 132-142 ◽  
Author(s):  
Liping Zhang ◽  
Kun Zhou ◽  
Wei-bin Zhang ◽  
James A. Misener
Keyword(s):  
Red Light ◽  
Discrete Point ◽  
Red Light Running

scholarly journals Evaluation of Automated Enforcement Program in Amman

2018 ◽  
Author(s):  
Hana Naghawi ◽  
Bushra Al Qatawneh ◽  
Rabab Al Louzi
Keyword(s):  
Traffic Safety ◽  
Questionnaire Survey ◽  
Positive Impact ◽  
Red Light ◽  
Crash Frequency ◽  
Red Light Running ◽  
Red Light Cameras ◽  
Percent Confidence Level ◽  
Before And After ◽  
Traffic Violations

This study aims, in a first attempt, to evaluate the effectiveness of using the Automated Enforcement Program (AEP) to improve traffic safety in Amman, Jordan. The evaluation of the program on crashes and violations was examined based on a “before-and-after” study using the paired t-test at 95 percent confidence level. Twenty one locations including signalized intersections monitored by red light cameras and arterial roads monitored by excessive speed cameras were selected. Nine locations were used to study the effectiveness of the program on violations, and twelve locations were used to determine the effectiveness of the program on frequency and severity of crashes. Data on number and severity of crashes were taken from Jordan Traffic Institution. Among the general findings, it was found that the AEP was generally associated with positive impact on crashes. Crash frequency was significantly reduced by up to 63%. Crash severities were reduced by up to 62.5%. Also, traffic violations were significantly reduced by up to 66%.  Finally, drivers’ opinion and attitude on the program was also analyzed using a questionnaire survey. The questionnaire survey revealed that 35.5% of drivers are unaware of AEP in Amman, 63.9% of drivers don’t know the camera locations, most drivers knew about excessive speed and red light running penalties, most drivers reduce their speed at camera locations, 44.4% of drivers think that the program satisfies its objective in improving traffic safety and 52% of drivers encourage increasing the number of camera devices in Amman.

scholarly journals Knowledge in palliative care of nursing professionals at a Spanish hospital

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Elena Chover-Sierra ◽  
Antonio Martínez-Sabater ◽  
Yolanda Lapeña-Moñux
Keyword(s):  
Palliative Care ◽  
Basic Education ◽  
Statistical Significance ◽  
Descriptive Analysis ◽  
Tertiary Care ◽  
Educational Background ◽  
Cross Sectional Study ◽  
Study Data ◽  
Care Hospital ◽  
Cross Sectional

Resume Objective: to determine the level of knowledge in palliative care of nursing staff at a Spanish tertiary care hospital. Method: descriptive, cross-sectional study. Data were collected about the results of the Spanish version of the Palliative Care Quiz for Nurses (PCQN), sociodemographic aspects, education level and experience in the field of palliative care. Univariate and bivariate descriptive analysis was applied. Statistical significance was set at p < 0.05 in all cases. Results: 159 professionals participated (mean age 39.51 years ± 10.25, with 13.96 years ± 10.79 of professional experience) 54.7% possessed experience in palliative care and 64.2% educational background (mainly basic education). The mean percentage of hits on the quiz was 54%, with statistically significant differences in function of the participants’ education and experience in palliative care. Conclusions: although the participants show sufficient knowledge on palliative care, they would benefit from a specific training program, in function of the mistaken concepts identified through the quiz, which showed to be a useful tool to diagnose professionals’ educational needs in palliative care.

scholarly journals ENGLISH SPEAKING TEACHING METHODS FOR ELEMENTARY SCHOOL STUDENT AT KAMPUNG INGGRIS PONTIANAK

2020 ◽  
Vol 7 (2) ◽  
pp. 183-190
Author(s):  
Viqri Rahmad Satria
Keyword(s):  
Elementary School ◽  
Elementary School Students ◽  
Teaching Methods ◽  
English Language ◽  
Descriptive Analysis ◽  
Educational Background ◽  
School Students ◽  
Speaking Skill ◽  
English Speaking ◽  
Four Levels

This research aims to know speaking teaching methods used at Kampung Inggris Pontianak for elementary school students and tutor obstacles during teaching activity. The method applied in this research was qualitative approach with descriptive analysis. The data were collected from interview and observation with the owner of Kampung Inggris Pontianak, West Kalimantan. It was found that English speaking skill to elementary school students was separated into four levels; basic, intermediate 1, intermediate 2, and advanced. There are five methods applied by Kampung Inggris Pontianak to improve students English speaking skill. Flashcards, watching movies, listening, games, and singing. There were two kinds of obstacles that tutors face during the class. First, most of the tutors’ backgrounds were non-educational. So, they found it hard, sometimes, to control their elementary students who are very energetic. They might have English language competence. However, it is not adequate as their only competence to teach students compared to tutors with English educational background. Therefore, Kampung Inggris Pontianak holds micro-teaching practices to see tutor candidate performances before coming into class. Second, new students made many false answers on the placement test just to make them get into a lower level class than they are supposed to be. The researcher hopes this research will give knowledge to the reader of how tutors in Kampung Inggris Pontianak teaches speaking skills to their students.

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