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Traffic Operation and Safety represent the lifeblood of any logistical system. By 2030, the Kingdom targets to reduce road accident fatalities, improve urban mobility, and reduce congestion. This interdisciplinary program provides students with the required knowledge and advanced skills to model, analyze, and design effective, technology-based solutions that would improve traffic safety, mobility systems, and transportation efficiency – thus launching their careers in this critically important discipline.
This program prepares professionals for a career in transportation engineering to provide and run efficient, economic, and safe transportation networks. Topics include traffic flow theory (macroscopic and microscopic flow, shock wave analysis, queuing theory, bottleneck analysis, etc.), geometric design of highways, traffic control and operation (signal theory, coordination, multimodal operation, roundabouts control, etc.), highway safety modeling (impact studies, auditing, traffic conflict analysis, etc.), intelligent transportation systems (connected vehicles, travel demand management, etc.), and human factors in traffic safety (e.g. vision processing). Advanced tools applied in this field will also be covered, such as data science and machine learning (e.g. neural networks, classification, vector machines).
Programme overview
Main Subject
Engineering - Civil and Structural
Degree
MSci
Study Level
Masters
Study Mode
On Campus
Traffic Operation and Safety represent the lifeblood of any logistical system. By 2030, the Kingdom targets to reduce road accident fatalities, improve urban mobility, and reduce congestion. This interdisciplinary program provides students with the required knowledge and advanced skills to model, analyze, and design effective, technology-based solutions that would improve traffic safety, mobility systems, and transportation efficiency – thus launching their careers in this critically important discipline.
This program prepares professionals for a career in transportation engineering to provide and run efficient, economic, and safe transportation networks. Topics include traffic flow theory (macroscopic and microscopic flow, shock wave analysis, queuing theory, bottleneck analysis, etc.), geometric design of highways, traffic control and operation (signal theory, coordination, multimodal operation, roundabouts control, etc.), highway safety modeling (impact studies, auditing, traffic conflict analysis, etc.), intelligent transportation systems (connected vehicles, travel demand management, etc.), and human factors in traffic safety (e.g. vision processing). Advanced tools applied in this field will also be covered, such as data science and machine learning (e.g. neural networks, classification, vector machines).
Admission Requirements
2 Years
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Intelligent Transportation Engineering
KFUPM Main Campus, Dhahran, Saudi Arabia
# =46QS Subject Rankings
24 monthsProgramme duration
Engineering - Civil and StructuralMain Subject Area
Programme overview
Main Subject
Engineering - Civil and Structural
Degree
MSci
Study Level
Masters
Study Mode
On Campus
Traffic Operation and Safety represent the lifeblood of any logistical system. By 2030, the Kingdom targets to reduce road accident fatalities, improve urban mobility, and reduce congestion. This interdisciplinary program provides students with the required knowledge and advanced skills to model, analyze, and design effective, technology-based solutions that would improve traffic safety, mobility systems, and transportation efficiency – thus launching their careers in this critically important discipline.
This program prepares professionals for a career in transportation engineering to provide and run efficient, economic, and safe transportation networks. Topics include traffic flow theory (macroscopic and microscopic flow, shock wave analysis, queuing theory, bottleneck analysis, etc.), geometric design of highways, traffic control and operation (signal theory, coordination, multimodal operation, roundabouts control, etc.), highway safety modeling (impact studies, auditing, traffic conflict analysis, etc.), intelligent transportation systems (connected vehicles, travel demand management, etc.), and human factors in traffic safety (e.g. vision processing). Advanced tools applied in this field will also be covered, such as data science and machine learning (e.g. neural networks, classification, vector machines).
Programme overview
Main Subject
Engineering - Civil and Structural
Degree
MSci
Study Level
Masters
Study Mode
On Campus
Traffic Operation and Safety represent the lifeblood of any logistical system. By 2030, the Kingdom targets to reduce road accident fatalities, improve urban mobility, and reduce congestion. This interdisciplinary program provides students with the required knowledge and advanced skills to model, analyze, and design effective, technology-based solutions that would improve traffic safety, mobility systems, and transportation efficiency – thus launching their careers in this critically important discipline.
This program prepares professionals for a career in transportation engineering to provide and run efficient, economic, and safe transportation networks. Topics include traffic flow theory (macroscopic and microscopic flow, shock wave analysis, queuing theory, bottleneck analysis, etc.), geometric design of highways, traffic control and operation (signal theory, coordination, multimodal operation, roundabouts control, etc.), highway safety modeling (impact studies, auditing, traffic conflict analysis, etc.), intelligent transportation systems (connected vehicles, travel demand management, etc.), and human factors in traffic safety (e.g. vision processing). Advanced tools applied in this field will also be covered, such as data science and machine learning (e.g. neural networks, classification, vector machines).
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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