scholarly journals Estimating and Comparing Response Times in Traditional and Connected Environments

2019 ◽  
Vol 2673 (4) ◽  
pp. 674-684 ◽  
Author(s):  
Anshuman Sharma ◽  
Zuduo Zheng ◽  
Jiwon Kim ◽  
Ashish Bhaskar ◽  
Md. Mazharul Haque
Keyword(s):  
Decision Making ◽  
Traffic Safety ◽  
Driving Simulator ◽  
Response Times ◽  
Flow Characteristics ◽  
Trajectory Data ◽  
Stimulus Response ◽  
Wide Range ◽  
The Mean ◽  
The Impact

Response time (RT) is a critical human factor that influences traffic flow characteristics and traffic safety, and is governed by drivers’ decision-making behavior. Unlike the traditional environment (TE), the connected environment (CE) provides information assistance to drivers. This in-vehicle informed environment can influence drivers’ decision-making and thereby their RTs. Therefore, to ascertain the impact of CE on RT, this study develops RT estimation methodologies for TE (RTEM-TE) and CE (RTEM-CE), using vehicle trajectory data. Because of the intra-lingual inconsistency among traffic engineers, modelers, and psychologists in the usage of the term RT, this study also provides a ubiquitous definition of RT that can be used in a wide range of applications. Both RTEM-TE and RTEM-CE are built on the fundamental stimulus–response relationship, and they utilize the wavelet-based energy distribution of time series of speeds to detect the stimulus–response points. These methodologies are rigorously examined for their efficiency and accuracy using noise-free and noisy synthetic data, and driving simulator data. Analysis results demonstrate the excellent performance of both the methodologies. Moreover, the analysis shows that the mean RT in CE is longer than the mean RT in TE.

The Impact of Mental States on Semi-autonomous Driving Takeover Performance: A Systematic Review

2020 ◽  
Vol 64 (1) ◽  
pp. 1372-1376
Author(s):  
Gaojian Huang ◽  
Christine Petersen ◽  
Brandon J. Pitts
Keyword(s):  
Systematic Review ◽  
Autonomous Vehicles ◽  
Response Times ◽  
Autonomous Driving ◽  
Mental States ◽  
Manual Control ◽  
Monitoring Systems ◽  
Wide Range ◽  
Different Types ◽  
The Impact

Semi-autonomous vehicles still require drivers to occasionally resume manual control. However, drivers of these vehicles may have different mental states. For example, drivers may be engaged in non-driving related tasks or may exhibit mind wandering behavior. Also, monitoring monotonous driving environments can result in passive fatigue. Given the potential for different types of mental states to negatively affect takeover performance, it will be critical to highlight how mental states affect semi-autonomous takeover. A systematic review was conducted to synthesize the literature on mental states (such as distraction, fatigue, emotion) and takeover performance. This review focuses specifically on five fatigue studies. Overall, studies were too few to observe consistent findings, but some suggest that response times to takeover alerts and post-takeover performance may be affected by fatigue. Ultimately, this review may help researchers improve and develop real-time mental states monitoring systems for a wide range of application domains.

scholarly journals An Extended Model of Behavioural Process in Consumer Decision Making

2016 ◽  
Vol 8 (4) ◽  
pp. 87 ◽  
Author(s):  
Nagasimha Balakrishna Kanagal
Keyword(s):  
Decision Making ◽  
Consumer Products ◽  
Extended Model ◽  
Response Model ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Stimulus Response ◽  
Economic Decision Making ◽  
Buying Behaviour ◽  
The Impact

<p>The stimulus response model of consumer behaviour is useful to understand the buying behaviour of individual consumers in the context of individuals buying consumer products. An extended stimulus-response model of behavioural processes in consumer decision making is proposed that serves to integrate the influences and interlinkages of buyer psychology, various buyer characteristics, and the impact of the buyer decision process on consumer decision making. The model proposes that the behavioural process of consumer decision making be as a result of the interaction of three aspects of individual buyer behaviour: communication sensitivity; enculturated individuality; and rational / economic decision making. The paper addresses the flip side of the consumer decision making process in terms of the five stages of decision making from need recognition to post-purchase satisfaction. An aggregate level framework of behavioural process in consumer decision making has been provided, that could lead to a richer analysis of micro level factors and relationships influencing consumer decision behaviour.</p>

scholarly journals Facilitating spatially-explicit assessments of ecosystem service delivery to support land use planning

One Ecosystem ◽  
2020 ◽  
Vol 5 ◽  
Author(s):  
Dirk Vrebos ◽  
Jan Staes ◽  
Steven Broekx ◽  
Leo de Nocker ◽  
Karen Gabriels ◽  
...  
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Assessment Tools ◽  
Spatially Explicit ◽  
Practical Implementation ◽  
Time Investment ◽  
Wide Range ◽  
The Impact

Since the early 2000s, there have been substantial efforts to transform the concept of ecosystem services into practice. Spatial assessment tools are being developed to evaluate the impact of spatial planning on a wide range of ecosystem services. However, the actual implementation in decision-making remains limited. To improve implementation, tools that are tailored to local conditions can provide accurate, meaningful information. Instead of a generic and widely-applicable tool, we developed a regional, spatially-explicit tool (ECOPLAN-SE) to analyse the impact of changes in land use on the delivery of 18 ecosystem services in Flanders (Belgium). The tool incorporates ecosystem services relevant to policy-makers and managers and makes use of detailed local data and knowledge. By providing an easy-to-use tool, including the required spatial geodatasets, time investment and the learning curve remain limited for the user. With this tool, constraints to implement ecosystem service assessments in local decision-making are drastically reduced. We believe that region-specific decision support systems, like ECOPLAN-SE, are indispensable intermediates between the conceptual ecosystem service frameworks and the practical implementation in planning processes.

Aeromedical Decision Making for Military Aircrew with Graves’ Disease

2021 ◽  
Vol 92 (12) ◽  
pp. 980-986
Author(s):  
Edwin Hong-Teck Loh ◽  
Feng Wei Soh ◽  
Brian See ◽  
Benjamin Boon Chuan Tan
Keyword(s):  
Decision Making ◽  
Air Force ◽  
Case Series ◽  
Definitive Treatment ◽  
Antithyroid Drugs ◽  
Graves Disease ◽  
First Line Therapy ◽  
The Mean ◽  
Stable Maintenance ◽  
The Impact

BACKGROUND: Graves’ Disease (GD) is a common cause of hyperthyroidism. Although definitive treatment with radioactive iodine (RAI) is preferred for military aircrew, there are cultural and individual differences in receptivity toward RAI, and clinical guidelines that recommend antithyroid drugs (ATD) as the first line therapy. We examined a case series of Republic of Singapore Air Force (RSAF) aviators with GD treated with ATD and the impact of their condition on aeromedical disposition.CASE SERIES: All RSAF aircrew diagnosed with GD and treated with ATD over a 15-yr period were retrospectively identified and analyzed to determine the impact on their fitness for flying duties. The mean age of the 13 aircrew was 33 ± 7.1 yr (range, 25–47 yr), with 11 (84.6%) being males. There were 10 (76.9%) who had ATD as the only treatment while 3 (23.1%) were initially treated with ATD but subsequently underwent RAI or surgery. Of the 10 treated with only ATD, 3 (30.0%) were returned to restricted flying, 6 (60.0%) were returned to unrestricted flying, and 1 (10.0%) is still undergoing ATD titration. There were 10 (76.9%) aircrew who were returned to some form of flying duties while on low doses of ATD.DISCUSSION: This case series suggests that ATD is a viable treatment modality in the aeromedical management of military aviators with GD and it is possible to return military aircrew on a stable maintenance dose of ATD to flying duties. A framework is proposed to support the aeromedical decision-making process for military aircrew in the treatment of GD.Loh EH-T, Soh FW, See B, Tan BBC. Aeromedical decision making for military aircrew with Graves’ disease. Aerosp Med Hum Perform. 2021; 92(12):980–986.

scholarly journals Dissecting the impact of depression on decision-making

2019 ◽  
Vol 50 (10) ◽  
pp. 1613-1622 ◽  
Author(s):  
Victoria M. Lawlor ◽  
Christian A. Webb ◽  
Thomas V. Wiecki ◽  
Michael J. Frank ◽  
Madhukar Trivedi ◽  
...  
Keyword(s):  
Decision Making ◽  
Cognitive Deficits ◽  
Response Times ◽  
Major Depressive ◽  
Evidence Accumulation ◽  
Two Samples ◽  
Sensorimotor Deficit ◽  
The Impact ◽  
To Receive ◽  
Trial Participants

AbstractBackgroundCognitive deficits in depressed adults may reflect impaired decision-making. To investigate this possibility, we analyzed data from unmedicated adults with Major Depressive Disorder (MDD) and healthy controls as they performed a probabilistic reward task. The Hierarchical Drift Diffusion Model (HDDM) was used to quantify decision-making mechanisms recruited by the task, to determine if any such mechanism was disrupted by depression.MethodsData came from two samples (Study 1: 258 MDD, 36 controls; Study 2: 23 MDD, 25 controls). On each trial, participants indicated which of two similar stimuli was presented; correct identifications were rewarded. Quantile-probability plots and the HDDM quantified the impact of MDD on response times (RT), speed of evidence accumulation (drift rate), and the width of decision thresholds, among other parameters.ResultsRTs were more positively skewed in depressed v. healthy adults, and the HDDM revealed that drift rates were reduced—and decision thresholds were wider—in the MDD groups. This pattern suggests that depressed adults accumulated the evidence needed to make decisions more slowly than controls did.ConclusionsDepressed adults responded slower than controls in both studies, and poorer performance led the MDD group to receive fewer rewards than controls in Study 1. These results did not reflect a sensorimotor deficit but were instead due to sluggish evidence accumulation. Thus, slowed decision-making—not slowed perception or response execution—caused the performance deficit in MDD. If these results generalize to other tasks, they may help explain the broad cognitive deficits seen in depression.

Trends and Perspectives of PRC's Energy Policy Making Institutions and Policies

2009 ◽  
Vol 12 (2) ◽  
pp. 111-124
Author(s):  
Chulwon Lee
Keyword(s):  
Decision Making ◽  
Energy Policy ◽  
Policy Making ◽  
Policy Decision ◽  
Decision Makers ◽  
Policy Debate ◽  
Wide Range ◽  
Policy Decision Making ◽  
Future Direction ◽  
The Impact

The future direction of China's approach to energy policy making is, of course, difficult to predict. This is due not only to the opaque and fragmented nature of Chinese energy policy decision-making, but also to the fact that energy policy is a new topic for China's leaders and the individuals they rely on for advice to master that impinges on the interests of actors throughout the Chinese bureaucracy. The wide range of participants in the energy policy debate indicates that more diversified views on it probably reach the top leadership. The impact of the multiplicity of opinions is two-fold. It can result in more informed decision-making, but it can also delay the process as decision makers must assess a larger number of competing and sometimes contradictory views.

scholarly journals The Wellington Waterfront and Tourism Development: Planning Process and Legislative Framework

2021 ◽  
Author(s):  
◽  
Thi Hong Hanh Nguyen
Keyword(s):  
Decision Making ◽  
Planning Process ◽  
Tourism Development ◽  
City Council ◽  
Development Projects ◽  
Wide Range ◽  
Key Players ◽  
Legislative Framework ◽  
Waterfront Redevelopment ◽  
The Impact

<p>Over the last two decades, the redevelopment of the Wellington waterfront has become one of the most contested urban development projects in New Zealand, with the involvement of many varied interests. There have been a number of changes in planning, development concepts, rules, and regulations in order to manage its ongoing redevelopment. However, many development projects on the waterfront have been delayed and cancelled. It might be argued that regulatory and plan changes may be influencing the progress of this redevelopment. However, to date, no one has explored this relationship. Therefore, this study is aimed at filling this gap by using the Wellington waterfront as a case study and focusing on tourism development, the planning process, and the legislative framework surrounding this redevelopment. Its objectives were: (1) to explore the role of tourism in the redevelopment of the Wellington waterfront; (2) to identify the key players involved in the waterfront redevelopment, and specify their involvement and influence on planning and decision-making processes; and (3) to define the existing legislative framework for this redevelopment and examine the way in which it impacts tourism development in this area. This study adopted a qualitative research method. Data in this study was collected from a wide range of documents relevant to the Wellington waterfront and through face-to-face and semi-structured in-depth interviews. 18 representatives from local authorities, waterfront organisations, tourism entities, as well as urban planners, developers, community groups, and property owners were interviewed. Data triangulation was used in data analysis to validate and deepen the findings. The study found that tourism was not recognised as one of the key driving forces of the redevelopment of Wellington waterfront as a whole, although within specific development proposals tourism has been used as a rationale to support these developments. This suggested that to a certain extent tourism was considered in this redevelopment. In this research, while Wellington City Council (WCC) and its controlled entities were identified as the key players influencing the planning and decision making process, the involvement of the public may also play an important role in slowing down this redevelopment. There was firm agreement among participants about the impact of legislative framework on this redevelopment. This study found that there is a legislative framework within which the waterfront redevelopment works. However, the legislative framework tends to impact specific developments rather the waterfront redevelopment as a whole. Several implications and recommendations arise from this study, including the need of continuing research on impact of legislative framework on tourism from a legal perspective. Additionally, it is recommended that the extent to which legislative framework accommodates tourism should be emphasised in understanding its impact.</p>

scholarly journals Awareness of Diagnosis and Decision-Making Preferences of Greek Cancer Patients

2020 ◽  
pp. 5-12
Author(s):  
Despoina G Alamanou ◽  
Konstantinos Giakoumidakis ◽  
Dimosthenis G Theodosiadis ◽  
Nikolaos V Fotos ◽  
Elissavet Patiraki ◽  
...  
Keyword(s):  
Decision Making ◽  
Cancer Patients ◽  
Cancer Diagnosis ◽  
Active Role ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Medical Encounter ◽  
The Mean ◽  
The Impact ◽  
The City

Objective: In Greece, the old phenomenon of hiding cancer diagnosis and depriving cancer patients of their right to participate in decisionmaking remains a reality. The aim of this study was to assess the decision-making preferences of Greek cancer patients and their awareness of diagnosis. Methods: It was a cross-sectional study. The sample consisted of 229 adult Greek patients diagnosed with cancer, attending the oncology outpatient department (outpatients) or being hospitalized (inpatients), in one general hospital in Athens. Patients who were aware of cancer diagnosis (n=209) were administered at the Control Preference Scale (CPS), a tool, designed to elicit decision-making preferences. The IBM SPSS program, version 21.0 was used for statistical analysis. Results: One hundred and one patients (52.8%) were males. The mean [±standard deviation (SD)] age was 64.8 (±11.2) years. The vast majority of patients knew they suffered from cancer (n=209, 91.3%). Older patients (p=0.003), those who lived in suburbs of the city (p=0.01), those who had lower educational level (p=0.001), those with lower personal income (p=0.001) and shorter disease duration (p=0.001) stated that were unaware of cancer diagnosis. Seventy five (36.2%) patients chose the shared-decision role in decision-making procedures. Lower age (OR 1.04, 95%, CI: 1.00-1.08, p= 0.05) and higher education level (OR 2, 63, 95%, CI: 1.11-6.29, p=0.03) were significantly associated with the preference of patients to actively participate in decision-making regarding treatment. Conclusions: Although Greek cancer patients are aware of cancer diagnosis and treatment, nowadays, they still seem to hesitate in playing a more active role in the decision-making procedures, which portrays the impact of the dominating paternalistic model of doctor-patient relationship in the Greek medical encounter

scholarly journals Evaluating the Safety Impact of Connected and Autonomous Vehicles with Lane Management on Freeway Crash Hotspots Using the Surrogate Safety Assessment Model

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Hui Zhang ◽  
Ninghao Hou ◽  
Jianhua Zhang ◽  
Xuyi Li ◽  
Yan Huang
Keyword(s):  
Traffic Safety ◽  
Autonomous Vehicles ◽  
Safety Assessment ◽  
Assessment Model ◽  
Trajectory Data ◽  
Collision Risk ◽  
Velocity Difference ◽  
Safety Benefit ◽  
Crash Hotspots ◽  
The Impact

One goal for large-scale deployment of connected and autonomous vehicles is to achieve the traffic safety benefit since connected and autonomous vehicles (CAVs) could reduce the collision risk by enhancing the driver’s situation perception ability. Previous studies have analyzed the safety impact of CAVs involved in traffic, but only few studies examined the safety benefits brought by CAVs when approaching high-collision-risk road segments such as the freeway crash hotspots. This study chooses one freeway crash hotspot in Wuhan, China, as an instance and attempts to estimate the safety benefits for differential penetration rates (PRs) of CAVs using the surrogate safety assessment model (SSAM). First, the freeway crash hotspot is identified with kernel density estimation and simulated by VISSIM. Then, the intelligent driver model (IDM) and Wiedemann 99 (a car-following model) are adopted and calibrated to control the driving behaviors of CAVs and human-driven vehicles (HVs) in this study, respectively. The impact that rather CAVs are constrained with or without managed lanes on traffic safety is also discussed, and the PR of CAVs is set from 10% to 90%. The results of this study show that when the PR of CAVs is lower than 50%, there is no significant improvement on the safety measures such as conflicts, acceleration, and velocity difference, which are extracted from the vehicle trajectory data using SSAM. When the penetration rate is over 70%, the experiment results demonstrate that the traffic flow passing the freeway hotspot is with fewer conflicts, smaller acceleration, and smaller velocity difference in the scenario where CAVs are constrained with managed lane compared with the scenario without managed lane control. The safety benefit that CAVs bring needs to be discussed. The lane management of CAVs will also lead to distinct safety impact.

Development of Warning System and Driving Model for Overtaking Trucks on Two-Lane Highways

2019 ◽  
Vol 2673 (11) ◽  
pp. 1-12 ◽  
Author(s):  
Udai Hassein ◽  
Maksym Diachuk ◽  
Said Easa
Keyword(s):  
Traffic Safety ◽  
Human Error ◽  
Driving Simulator ◽  
Real Life ◽  
Warning System ◽  
Steering Control ◽  
Collision Warning ◽  
Radar Sensors ◽  
Sight Distance ◽  
The Impact

Passing collisions are one of the most serious traffic safety problems on two-lane highways. These collisions occur when a driver overestimates the available sight distance. This paper presents a framework for a passing collision warning system (PCWS) that assists drivers in avoiding passing collisions by reducing the likelihood of human error. The system uses a combination of a camera and radar sensors to identify the impeding vehicle type and to detect the opposing vehicles traveling in the left lane. The study involved the development of a steering control model providing lane-change maneuvers, the design of a driving simulator experiment that allows for the collection of data necessary to estimate passing parameters, and the elaboration of the algorithm for the PCWS based on sensor signals to detect impeding vehicles such as trucks. Simulation tests were carried out to confirm the effectiveness of the proposed PCWS algorithm. The impact of driver behavior on passing maneuvers was also investigated. Mathematical and imitation models were enhanced to implement Simulink for replications of real-life driving scenarios. The different factors that affect system accuracy were also examined.

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