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Cognitive characteristics of the operator of urban traffic control center and framework of Cognitive Work Analysis (CWA)
Abdollah Vahedi, Sara Dehnavi,
Volume 2, Issue 3 (12-2014)
Abstract
 

Introduction: As the traffic is one of the most common social troubles in big cities, widen the roads culture and using the intelligent methods are using to control the traffic. Therefore, the traffic control systems are innovated. These system operators have to do many cognitive jobs to manage these systems. CWA as a framework to improve the design of these systems has introduced in this paper to analyze them.

Material and Methods: CTA recognizes the restrictions of system throughout the 5 phases that begin with work domain analysis and ends in necessary personal qualification. Task analysis, strategy analysis and investigating the cooperation and organizations are between paces, respect.

Results: the results of this investigation consist of outline of the technique CWA, work domain analysis, decision ladders, details of relevant indicators, strategies, Information Flow Map (IFM), to frame the social organization and cooperation, and worker qualification analysis.

Conclusion: The results of this study may used in selection and training the mentioned systems operators. The main reason is to use the experienced staff with high cognitive abilities in working with these systems. Otherwise, it can result in waste the organization money and energy. The operator decision making is more dependent on the information process, the operator also needs to have higher cognitive abilities. Strong visual search, timing and problem solving are perquisites of this job opportunity.


Investigating the Effectiveness of Safety Interventions to Reduce Traffic Accidents in Pregnant Women: A Systematic Review
Maryam Afshari, Mehdi Kangavari, Farogh Mohammadian, Shahnaz Maleki, Farideh Kazemi,
Volume 11, Issue 2 (9-2023)
Abstract
Objectives: Traffic accidents are one of the leading causes of death among pregnant women. One of the investment for maternal and neonatal health is targeted interventions to increase maternal safety to prevent traffic accidents. Therefore, this study was conducted with the aim of identifying and categorizing different types of safety interventions to reduce traffic accidents among pregnant women.
Methods: The study was a systematic review. Intervention articles were searched from Persian databases, such as Magiran, Iran Medex and SID and English scientific information databases, such as PubMed, Cochrane, Sciencedirect, Embase, Science of Web and Scopus. All identified articles were collected by one person using Endnote software. The full text of the articles was then reviewed by two researchers and the articles that met the entry criteria were identified. Other articles were added to the previous collection of articles using Forward Citation and Backward Citation Reviews. The EPHPP instrument was used to assess the quality of the studies.
Results: The initial search resulted in finding 5329 article abstracts. Finally, two intervention studies were selected for evaluation in this study. One study used an educational/behavioral approach and the other used an engineering/approach. Both studies reported that they had produced significant changes in the desired outcome of seatbelt use in pregnant women. The quality of one study was rated as poor and the other as moderate.
Conclusion: Safety interventions to reduce traffic accidents among pregnant women have been tested only to a very limited extent worldwide. It seems that there is still much room for study in the field of safety interventions to reduce traffic accidents among pregnant women.

Determining the Mental Workload and Investigating Its Effect on Changing the Mood Components of Taxi Drivers in the City of Qazvin
Hanieh Abdi, Seyed Abolfazl Zakerian, Kamal Azam, Payam Khanlari Baniyarani,
Volume 11, Issue 4 (1-2024)
Abstract
Objectives: Road accidents and related damages and casualties are among the most important concerns of today's societies. Mental workload is one of the main human factors that can cause other factors, such as stress and anger. The present study was conducted to investigate the mental workload and its effect on changing the components of drivers' moods.
Methods: A total of 88 tour taxi drivers from Qazvin City participated in this study to examine the desired components. The driving Activity Load Index was used to evaluate mental load and the Profile of Mood States questionnaire to measure drivers' mood components. Based on the designed scenario of driving on high-traffic roads, the desired variables were evaluated. To check the relationship between these variables, paired t-tests and Pearson correlation analysis were used in SPSS version 24 software.
Results: The mean scores of the drivers' work history and age were obtained at 46.60±10.12 and 13.47±9.39 years, respectively. The obtained findings showed that driving on high-traffic roads significantly increased the average mental workload of drivers (P<0.001). Growth in the drivers' mental workload led to a decrease in some mood components that had a positive effect, such as happiness (r=-0.143, P=0.157) and vitality (r=-0.646, P=0.050), while it resulted in a rise in the mood component of depression (r=0.020, P= 0.248).
Conclusion: Based on the findings of the study, it can be concluded that as driving continues, drivers experience a rise in mental workload. However, there was no correlation regarding the effect of this component on the mood components.

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