scholarly journals Factors Influencing and Contributing to Perceived Safety of Passengers during Driverless Shuttle Rides

2021 ◽  
Vol 1 (3) ◽  
pp. 657-671
Author(s):  
Claudia Luger-Bazinger ◽  
Cornelia Zankl ◽  
Karin Klieber ◽  
Veronika Hornung-Prähauser ◽  
Karl Rehrl
Keyword(s):  
Autonomous Driving ◽  
Future Research ◽  
Natural Setting ◽  
Mixed Traffic ◽  
Control Room ◽  
Driving Style ◽  
Perceived Safety ◽  
Factors Influencing ◽  
Traffic Environment ◽  
Set Up

This study investigates the perceived safety of passengers while being on board of a driverless shuttle without a steward present. The aim of the study is to draw conclusions on factors that influence and contribute to perceived safety of passengers in driverless shuttles. For this, four different test rides were conducted, representing aspects that might challenge passengers’ perceived safety once driverless shuttles become part of public transport: passengers had to ride the shuttle on their own (without a steward present), had to interact with another passenger, and had to react to two different unexpected technical difficulties. Passengers were then asked what had influenced their perceived safety and what would contribute to it. Results show that perceived safety of passengers was high across all different test rides. The most important factors influencing the perceived safety of passengers were the shuttle’s driving style and passengers’ trust in the technology. The driving style was increasingly less important as the passengers gained experience with the driverless shuttle. Readily available contact with someone in a control room would significantly contribute to an increase in perceived safety while riding a driverless shuttle. For researchers, as well as technicians in the field of autonomous driving, our findings could inform the design and set-up of driverless shuttles in order to increase perceived safety; for example, how to signal passengers that there is always the possibility of contact to someone in a control room. Reacting to these concerns and challenges will further help to foster acceptance of AVs in society. Future research should explore our findings in an even more natural setting, e.g., a controlled mixed traffic environment.

scholarly journals Research Progress and Prospects of Vehicle Driving Behavior Prediction

2021 ◽  
Vol 12 (2) ◽  
pp. 88
Author(s):  
Xinghua Hu ◽  
Mintanyu Zheng
Keyword(s):  
Autonomous Driving ◽  
Driving Behavior ◽  
Transportation Systems ◽  
Intelligent Vehicles ◽  
Research Progress ◽  
Future Research ◽  
The Internet ◽  
Developmental Trend ◽  
Behavior Prediction ◽  
Mixed Traffic

Autonomous driving technology is vital for intelligent transportation systems. Vehicle driving behavior prediction is the foundation and core of autonomous driving. A detailed review of the existing research on vehicle driving behavior prediction can improve the understanding of the current progress of research on autonomous driving and provide references for follow-up researchers. This paper primarily reviews and analyzes the control models of autonomous driving, prejudgment methods, on-road and intersection traffic decision-making, and shortcomings of the research about the prediction of individual intelligent vehicle driving behavior, the prediction on movements of vehicles connected via the Internet, and prediction of driving behavior in a mixed traffic environment. The deficiencies in the research on vehicle driving behavior prediction are as follows: (1) there are numerous limitations in the intelligent application scenarios of individual intelligent vehicles; (2) although the Internet of Vehicles is a significant developmental trend, the training and test datasets are not rich enough; and (3) as the research of mixed traffic flow is still in the initial stages, the comfort brought by autonomous driving in hybrid driving environments is not being considered. In addition to the above analyses and comments, the future research prospects of vehicle driving behavior prediction are discussed as well.

scholarly journals Cognitive Distraction State Recognition of Drivers at a Nonsignalized Intersection in a Mixed Traffic Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Qiang Hua ◽  
Lisheng Jin ◽  
Yuying Jiang ◽  
Ming Gao ◽  
Baicang Guo
Keyword(s):  
Road Traffic ◽  
Safety Concern ◽  
Autonomous Driving ◽  
Attention Mechanism ◽  
Intelligent Vehicles ◽  
Distracted Driving ◽  
Support Vector ◽  
Mixed Traffic ◽  
Cognitive Distraction ◽  
Traffic Environment

Distracted driving has become a growing traffic safety concern. With advances in autonomous driving and connected vehicle technology, a mixture of various types of intelligent vehicles will become normal in the near future, while more factors that may cause driver cognitive distraction are emerging. However, there are rarely studies on distracted driving in mixed traffic environments. To fill this gap, we conducted a natural driving experiment with three representative events at a nonsignalized intersection in a mixed traffic environment and proposed a novel method of identifying cognitive distraction based on bidirectional long short-term memory (Bi-LSTM) with attention mechanism. Forty participants were recruited for each event, who completed three different cognitive distraction experiments induced by three different secondary tasks in contrast with a normal driving process when passing a nonsignalized intersection. Related driving performance and eye movement data were collected to train and test the Bi-LSTM with attention mechanism model. Compared with the support vector machine (SVM) model, its recognition accuracy rate is 94.33%, which is 3.83% higher than that of the SVM in the total event, which has reasonable applicability for distraction recognition in a mixed traffic environment. Potential applications of this model include distraction alarm and autonomous driving assistance systems, which could avoid road traffic accidents.

The use of ICT by SMMEs in a Digital Economy: A case study in Buffalo City Metropolitan in South Africa [Abstract]

10.28945/4314 ◽  
2019 ◽  
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
21St Century ◽  
Common Knowledge ◽  
Digital Economy ◽  
Future Research ◽  
Wealth Creation ◽  
Underdeveloped Areas ◽  
And Gender ◽  
Set Up

Aim/Purpose: The goal of this study is to advance understanding of ICT utilization by SMMEs by checking access, ability (in terms of technological skills) and usage of ICT among some SMMEs entrepreneurs operating their businesses in an underdeveloped areas to enhance their business activities in order to utilizes the digital opportunities 21st century digital economies present. Background: In today’s world no nation or region is untouched by the forces of globalization and digital economy. One of the key pioneering forces of globalization is the advances of ICT like internet, social networks, etc. In the sphere of business, this pioneering force has also altered the way businesses and organizations communicate and interact with customers and society at large. Such alternation presents obvious opportunities for wealth creation and growth for businesses and organizations that are well-equipped to take advantages of them. But for those that are less-equipped, particularly SMMEs, globalization can easily lead to fore-closures and marginalization. It is a common knowledge that SMMEs entrepreneurs mostly rely on ICT gadgets like mobile phone, Laptops, Tablets to conduct their business activities as many of them don’t have enough capital to set up offices with necessary equipment. Therefore, using various ICT functions/programs on these ICT devices to enhance their business activities are critical to their businesses in the 21st century digital economies. Methodology: Purposeful sampling was used to approach fifty-four SMMEs entrepreneurs operating their businesses in underdeveloped areas locally called Townships in Buffalo City Metropolitan. Microsoft excel was used in the descriptive statistics. Contribution: This research will add to the growing knowledge ICT usage in SMMEs in the 21st century digital economies. Findings: The results indicate that the participating SMMEs entrepreneurs need to be educated, trained and supported in the use of the ICT applicable to enhance their business activities in order for them to take advantages of 21st century digital economies present. Recommendations for Practitioners: The agencies tasked with looking after SMMEs in South Africa needs to consider the lacked of utilisation of ICTs by SMMEs entrepreneurs operating their businesses in underdeveloped areas as one of the barrier to growing of their businesses and take necessary steps to address it. Recommendation for Researchers: Since age and gender have been proven to be key-moderating variables in many technology acceptance models. There is a need to explore in depth whether the factors of gender and age also act as barriers. Impact on Society: The research will assist stakeholders, policy makers and agencies tasked with looking after SMMEs to identify the barriers hindering SMMEs to grow and address them accordingly. Future Research: More work needs to be done to check whether gender, age of the SMMEs entrepreneurs have some effects on their attitude towards the integration of ICT into their business activities.

An Investigation on Extrinsic and Intrinsic Rewards on Employee Retention among Gen Y: A Study in Malaysian Manufacturing Companies

2020 ◽  
Vol 3 (1) ◽  
Keyword(s):  
Regression Analysis ◽  
Employee Retention ◽  
Future Research ◽  
Manufacturing Companies ◽  
Extrinsic Reward ◽  
Intrinsic Rewards ◽  
Gen Y ◽  
Intrinsic Reward ◽  
Factors Influencing ◽  
The Relationship

The aim of this study is to investigate the relationship between extrinsic and intrinsic reward on retention among Gen Y employees in Malaysian manufacturing companies. The data was collected from 113 respondents worked in manufacturing companies located in Seri Kembangan, Selangor using questionnaires. Multiple regression analysis was conducted to test the hypotheses. The results showed both extrinsic and intrinsic reward are the factors influencing retaining Gen Y in manufacturing companies. The discussion on the analysis, limitation of the study, recommendation for future research and conclusion were discussed at the end of this study. In a nutshell, it was proven extrinsic reward and intrinsic reward has contributed to the retention of Gen Y employees.

scholarly journals Feelings of safety during daytime walking: associations with mental health, physical activity and cardiometabolic health in high vacancy, low-income neighborhoods in Detroit, Michigan

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amber L. Pearson ◽  
Kimberly A. Clevenger ◽  
Teresa H. Horton ◽  
Joseph C. Gardiner ◽  
Ventra Asana ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Low Income ◽  
Spatial Data ◽  
Vigorous Physical Activity ◽  
Future Research ◽  
Cardiometabolic Health ◽  
Multilevel Regression ◽  
Critical Pathway ◽  
Perceived Safety

Abstract Introduction Individuals living in low-income neighborhoods have disproportionately high rates of obesity, Type-2 diabetes, and cardiometabolic conditions. Perceived safety in one’s neighborhood may influence stress and physical activity, with cascading effects on cardiometabolic health. Methods In this study, we examined relationships among feelings of safety while walking during the day and mental health [perceived stress (PSS), depression score], moderate-to-vigorous physical activity (PA), Body Mass Index (BMI), and hemoglobin A1C (A1C) in low-income, high-vacancy neighborhoods in Detroit, Michigan. We recruited 69 adults who wore accelerometers for one week and completed a survey on demographics, mental health, and neighborhood perceptions. Anthropometrics were collected and A1C was measured using A1CNow test strips. We compiled spatial data on vacant buildings and lots across the city. We fitted conventional and multilevel regression models to predict each outcome, using perceived safety during daytime walking as the independent variable of interest and individual or both individual and neighborhood-level covariates (e.g., number of vacant lots). Last, we examined trends in neighborhood features according to perceived safety. Results In this predominantly African American sample (91%), 47% felt unsafe during daytime walking. Feelings of perceived safety significantly predicted PSS (β = − 2.34, p = 0.017), depression scores (β = − 4.22, p = 0.006), and BMI (β = − 2.87, p = 0.01), after full adjustment. For PA, we detected a significant association for sex only. For A1C we detected significant associations with blighted lots near the home. Those feeling unsafe lived in neighborhoods with higher park area and number of blighted lots. Conclusion Future research is needed to assess a critical pathway through which neighborhood features, including vacant or poor-quality green spaces, may affect obesity—via stress reduction and concomitant effects on cardiometabolic health.

First encounter effects in testing of highly automated vehicles during two experimental occasions – The need for recurrent testing

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jonas Andersson ◽  
Azra Habibovic ◽  
Daban Rizgary
Keyword(s):  
Driver Behavior ◽  
Added Value ◽  
Future Research ◽  
Gaze Behavior ◽  
Repeated Testing ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Perceived Safety ◽  
Repeated Interaction ◽  
Over Time

Abstract To explore driver behavior in highly automated vehicles (HAVs), independent researchers are mainly conducting short experiments. This limits the ability to explore drivers’ behavioral changes over time, which is crucial when research has the intention to reveal human behavior beyond the first-time use. The current paper shows the methodological importance of repeated testing in experience and behavior related studies of HAVs. The study combined quantitative and qualitative data to capture effects of repeated interaction between drivers and HAVs. Each driver ( n = 8 n=8 ) participated in the experiment on two different occasions (∼90 minutes) with one-week interval. On both occasions, the drivers traveled approximately 40 km on a rural road at AstaZero proving grounds in Sweden and encountered various traffic situations. The participants could use automated driving (SAE level 4) or choose to drive manually. Examples of data collected include gaze behavior, perceived safety, as well as interviews and questionnaires capturing general impressions, trust and acceptance. The analysis shows that habituation effects were attenuated over time. The drivers went from being exhilarated on the first occasion, to a more neutral behavior on the second occasion. Furthermore, there were smaller variations in drivers’ self-assessed perceived safety on the second occasion, and drivers were faster to engage in non-driving related activities and become relaxed (e. g., they spent more time glancing off road and could focus more on non-driving related activities such as reading). These findings suggest that exposing drivers to HAVs on two (or more) successive occasions may provide more informative and realistic insights into driver behavior and experience as compared to only one occasion. Repeating an experiment on several occasions is of course a balance between the cost and added value, and future research should investigate in more detail which studies need to be repeated on several occasions and to what extent.

Working with Industrial Cobots: The Influence of Reliability and Transparency on Perception and Trust

2021 ◽  
Vol 65 (1) ◽  
pp. 77-81
Author(s):  
Lina Kluy ◽  
Eileen Roesler
Keyword(s):  
Study Design ◽  
Real Life ◽  
Error Rates ◽  
Future Research ◽  
Negative Effects ◽  
Perceived Safety ◽  
Fine Grained ◽  
Online Study ◽  
Human Robot Collaboration ◽  
Positive Effect

Industrial human-robot collaboration (HRC) is not yet widely spread but on the rise. This development raises the question about properties collaborative robots (cobots) need, to enable a pleasant and smooth interaction. Therefore, this study investigated the influence of transparency and reliability on perception of and trust towards cobots. A video-enhanced online study with 124 participants was conducted. Transparency was provided through the presentation of differing information, and reliability was manipulated through differing error rates. The results showed a positive effect of transparency on perceived safety and intelligence. Reliability had a positive effect on perceived intelligence, likeability and trust. The effect of reliability on trust was more pronounced for low transparent robots. The results indicate the relevance of carefully selected information to counteract negative effects of failures. Future research should transfer the study design into a real-life experiment with more fine-grained levels of transparency and reliability.

Sign in / Sign up

Export Citation Format

Share Document