Determining Spot Speed Study
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Signal Optimization Study at KFUPM Crossway
Mostafa's Past Project and Coursework at KFUPM
Saudi Arabia Traffic Safety Facts Sheet (Coursework: CE 678)
Road traffic accidents (RTAs) are the leading cause of death in the Kingdom of Saudi Arabia (KSA). The study made the following recommendations: The three Saudi Arabian provinces that issue the most driving licenses are Makkah, the Eastern Province, and Riyadh. The frequency of accidents and the number of driving licenses issued are positively correlated. The introduction of Uber in Saudi Arabia is to blame for the decline in the number of driving licenses given in 2015.
Course Instructor: Dr. Hassan Al Ahmadi & Dr. Nedal Ratrout
Mostafa's research concentrates on intelligent transportation systems (ITS) and traffic modeling management in the Kingdom of Saudi Arabia. Besides, my recent and ongoing efforts include safety analytics using big data, connected and autonomous vehicles (AVs) for crash prevention, adaptive cruise control, machine learning with applications in transportation, casual interference for the evaluation of safety treatments, and data-driven emergency management.
Geometric Design for proposed field study trip
Graphs of Mostafa's Research in CE 678 Term Projects
Mostafa's Undergraduate Thesis: “A COMPREHENSIVE STUDY ON TRIP ATTRACTION RATES OF DIFFERENT SIZE HOSPITALS IN DHAKA CITY”
Hospitals are major sources of travel in any country. Every day, hospitals attract a significant number of visitors. A trip to the hospital is generally considered an emergency trip based on its purpose. As an emergency measure, trip attractions play a critical role in resolving and improving traffic problems by expanding road networks. Furthermore, hospital trip attraction rates can be very useful in performing traffic impact assessments (TIA). In Western countries, some studies have been conducted based on people's trips and also on vehicular attraction, but for a country like Bangladesh, no study has been performed to determine the trip attraction rates of hospitals. In this research, an attempt has been made to determine the trip attraction rates of hospitals in Dhaka city. The study involves the estimation of trip attraction rates for eight different hospitals in various locations. Hourly trip attraction rates are determined based on the gross floor area, the number of beds, the number of employees, and the number of parking spaces. Trip attraction rates are determined for both the morning and evening peaks. Average trip attraction rates for three major size categories of hospitals (small, medium, and large hospitals) are determined. It has been observed that the trip attraction rates of large hospitals are higher than the trip attraction rates of small and medium-sized hospitals. A macroscopic model is also developed from the survey data. The macroscopic model relates the attraction rates of the hospitals as a function of various physical features such as gross floor area, number of beds, number of doctors and nurses, number of parking spaces, and availability of cafeterias, pharmacies, and operation theaters (available or not).
Keywords: Trip attraction rate, hospital, size, microscopic model, Dhaka City.
Components of the study:
Surveys at eight different hospitals located in five different zones in Gulshan-02, Dhanmondi, Khilgaon, and Tejgaon are performed during the peak periods. A trip attraction table is to be made based on the morning and evening peak period data obtained from the surveys.
Data Collection Procedure:
People are entering and leaving the hospital at 15-minute intervals. Peak hour has been divided into two parts:
Morning and Evening Peaks: It has been observed that the trip attraction rates of large hospitals' Morning and Evening Peaks are higher than those of small and medium-sized hospitals. So, we can conclude that a good estimate of the trip attraction rate is fundamental in the planning of transportation facilities. It would be useful in the regional transportation network or the channelization of traffic control around a hospital. The information would be useful in assessing the traffic impacts of a new hospital plan. As can be seen from our survey report, the average values that were obtained from the analysis are quite satisfactory. This will be a true asset for any other traffic impacts in Dhaka.
Summary of findings:
Since there are only a few studies regarding trip attraction rates for hospitals in the whole world, this study will help future researchers. In addition, the data obtained from the study has great use in implementing proper transportation facilities for the specified five zones. It would be useful in the regional transportation network or the channelization of traffic control around a hospital.
What is SAE Level 5?
SAE Level 5: Full automation
Vehicles at Level 5 are fully autonomous, meaning a driver is not required to perform all driving tasks. Autonomous vehicles at this level are not bound by geofencing nor affected by weather and can transport human beings comfortably and efficiently.
According to the "World Quality Report 2021," the air in Bangladesh is the most polluted. Today on World Clean Air Day, let's pledge for the air we share and work together for clean air for blue skies.
https://www.capgemini.com/insights/research-library/world-quality-report-wqr-2021-22/
The Road to Full Automation
"Automation" can refer to the automated control of any number of functions within an automobile. The Society of Automotive Engineers International (SAE) has defined six levels of automation, illustrated in Figure 1. The National Highway Traffic Safety Administration (NHTSA) adopted these definitions in 2016.
This includes everything from no automation (where a fully engaged driver is required at all times), to full autonomy (where an automated vehicle operates independently, without a human driver).
What are SAE's five self-driving levels?
SAE Level 0: No automation
SAE Level 1: Driver Assistance
SAE Level 2: Partial automation
SAE Level 3: Conditional Automation
SAE Level 4: High automation
SAE Level 5: Full automation
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Coursera has confirmed the identity of this individual and their participation in the course.
Alhamdulillah!
It's been a privilege to attend the 'Technical Forum on Concrete Sustainability' organized by the Concrete & Construction Association (CCA) in collaboration with the American Concrete Institute (ACI-SAC), American Structural Concrete, American Concrete Pavement Association, and KFUPM/IRC-CBM in the Eastern Province.
This forum will be a platform for sharing knowledge and expertise about the latest strategies, emerging technologies, and advancements in the field of concrete sustainability on the basis of the application and effects of the usage of concrete in structural design and road pavements.
This seminar has been aligned with Aramco at the King Fahd University of Petroleum and Minerals (KFUPM).
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