Qatar Transportation and Traffic Safety Center
http://hdl.handle.net/10576/73
2024-03-29T10:03:19ZNew Simulation Model for Workload Analysis Addressing Occupational Stress in a Production Company
http://hdl.handle.net/10576/52930
New Simulation Model for Workload Analysis Addressing Occupational Stress in a Production Company
Abdelzaher, Abdulrahman A.; Kharbeche, Mohamed
In today's world, occupational stress is identified as a major health issue within most organizations. The reason the spotlight has been focused on occupational stress in recent years is that it can have a negative impact on employees' health and life. For this reason, this study focuses on the effects of workload on employees in a real-life workplace. The study is conducted on a department that carries out different projects year-round. A survey is designed for the purpose of this study to gain knowledge on the employees' perception of their workload and how it can affect their lives. Moreover, a simulation model is developed to model the process of project lifecycle within the organization, to understand the behavior of the system, and to gain insights on the effects of various levels of workload on employees. Simulation models and a survey questionnaire have shown that although the utilization is high at 83%, the workload is poorly distributed among the employees which is impacting the productivity of the company. The paper concluded that efficiency can not be achieved without taking into account the working circumstances and the workload of the employees.
2022-01-01T00:00:00ZSmartphone-based Vehicle Telematics for Naturalistic Driving Studies
http://hdl.handle.net/10576/52928
Smartphone-based Vehicle Telematics for Naturalistic Driving Studies
Tarlochan, Faris; Dun, Susan; Mohammed, Semira Omer; Kharbeche, Mohamed; Soliman, Abdrabo; Gaben, Batool
Motor vehicle collisions (MVCs) are the eighth leading cause of death worldwide. Globally, there are 1.35 million deaths with 50 million injuries annually. It is important to understand and record how people drive and reflect their driving behavior to combat MVCs. To capture driver's reflection, many studies use self-report instruments. The validity of these tools, however, is debatable because respondents may not provide accurate and truthful responses. Naturalistic driving studies is considered a more accurate method in capturing driving behavior for reflection. One particular effective way to achieve this is through telematics data. This study employed a telematics smartphone application to capture the driving behaviors of young drivers in Qatar. The results revealed that majority of drivers engage in unsafe driving behavior. This implies drivers underrate themselves when using self-reporting techniques. The current traffic enforcement system, which includes road cameras and patrol vehicles, is insufficient. The outcomes of this research suggest the usage of telematics to enhance road safety and possible traffic violation identification.
2022-01-01T00:00:00ZSolving a Bus Routing Problem Arising in Doha
http://hdl.handle.net/10576/52929
Solving a Bus Routing Problem Arising in Doha
Aljundi, A.; Khatib, M.A.; Kharbeche, M.; Haouari, M.
The generic variant of the school bus routing problem requires finding a set of routes that cover a predefined set of student pickup locations in order to minimize travel time while satisfying various constraints. In this paper, we study a new variant of the problem that was motivated by a real-world application in Doha, Qatar. In this variant, two objectives are considered: minimizing the number of buses and achieving a goal of not exceeding a predefined maximum travel time. We propose a compact mixed-integer programming problem and present how it can be solved heuristically to derive high-quality solutions for large-size instances.
2022-01-01T00:00:00ZSafety Analysis of Merging Vehicles Based on the Speed Difference between on-Ramp and Following Mainstream Vehicles Using NGSIM Data
http://hdl.handle.net/10576/51992
Safety Analysis of Merging Vehicles Based on the Speed Difference between on-Ramp and Following Mainstream Vehicles Using NGSIM Data
Hussain, Qinaat; Dias, Charitha; Al-Shahrani, Ali; Hussain, Intizar
Highway merging points are critical elements due to the interactions between merging vehicles and following vehicles on the outermost lane of the highway stream. Such interactions could have significant implications for safety and capacity at ramp locations. The aim of this study was to investigate the spacing adjustment behavior by the interacting drivers at merging locations. In this regard, we relied on the NGSIM trajectory dataset to investigate the impacts of the speed difference between the following and merging vehicles on a space headway, considering different geometric designs and vehicle classes. Nonlinear regression models were estimated to analyze the interactions. The results showed a significant and exponential tendency for headway reduction, particularly when the difference in speed was higher than 30 km/h. In addition, the findings revealed that the highway with an auxiliary lane performed better in terms of headway reduction. Furthermore, the space headway reduction trend was higher when the following vehicle was a truck rather than a car. Policymakers and practitioners aiming to improve road safety at merging locations could use this study’s findings. The resulting parameters can also be utilized in microsimulation models, e.g., for headway adjustment behavior in car-following models.
2022-12-08T00:00:00Z