COURSE INFORMATON
Code
Course Title
TRAFFIC TECHNIQUE AND ANALYSIS METHODS 0201813
Department
Civil Engineering
Course Level
First Cycle (B.Sc.)
Language of Instruction
Turkish
Course Type
Elective
Mode of Delivery
Face-To-Face
Prerequisites and co-requisites
None
Year
Semester
T+P+L
(Hour/Week)
Fourth
Year
Spring
Semester
3+0+0
Credits
3
ECTS
3
Recommended Optional
Programme Components
Name of Lecturer
Assoc. Prof. Dr. Ali Payıdar AKGÜNGÖR
Co-Lecturer
Work Placement
None
Teaching Methods
Lecturing. Problem solving. Computer applications.
Objectives of the Course
To teach comprehensively basic concepts in traffic engineering to students. The
problems of traffic control, design, and capacity analysis and their solutions.
Learning Outcomes
Understanding of applications of traffic engineering. The application of statistical
analysis and distribution in traffic. The relationships among speed, flow and density.
Signal coordination, and application of capacity analysis.
Course Content
INTRODUCTION TO TRAFFIC ENGINEERING: Definition of traffic engineering
and its applications, traffic engineering education in Turkey and the world, traffic
safetyBASIC PRINCIPLES OF TRAFFIC ENGINEERING: Road, vehicle and road
user characteristics, perception-reaction time, visual acuity, acceleration, braking
performance of vehicles, safe stopping sight distance.STATISTICAL ANALYSIS IN
TRAFFIC ENGINEERING: Data evaluation, point speed, percentage speed, time mean
speed, space mean speed and their applications in traffic STATISTICAL
DISTRIBUTIONS IN TRAFFIC ENGINEERING: Probability analysis, Bernoulli
distributions, Poisson distribution, Binomial distribution, Negative Binomial
distribution
and their applications in traffic engineering STATISTICAL
DISTRIBUTIONS IN TRAFFIC ENGINEERING: Negative Exponential distribution,
Shifted Negative Exponential distribution, Erlang distribution, Normal distribution and
their application in traffic TRAFFIC FLOW THEORY: Concept of speed, volume,
density flow, headway. Characteristics and analysis of speed, volume and density.
TRAFFIC FLOW THEORY: Speed- density models, Flow- density models, Speedflow models. Greenshilds model, Greenberg model, Underwood model, Drew Model,
Bell-shaped curve model, Logaritmik model, Parabolic model, shock wave models and
their applications in traffic. QUEUE THEORY: Stochastic and deterministic queue
analysis and their applications in trafficTRAFFIC ENGINEERING SURVEYS: Speed,
travel time and delay surveys, parking survey, volume survey, demand forecasting
1
survey.INTERSECTIONS: Intersections, types of intersections, intersection theory,
traffic management at intersections, geometric design of intersections, intersections
with under passing and over passing. INTERSECTION TRAFFIC CONTROL:
Necessity of traffic signalization, types of signalization, selecting of type of traffic
signals, principals of signal planning INTERSECTION TRAFFIC CONTROL:
Computing of signal timing, Webster method, Pignataro method, calculation of
optimum cycle time INTERSECTION TRAFFIC CONTROL : Capacity and delay
estimation at signalized intersections, stochastic, deterministic and time dependent
delay models
COURSE CONTENT (SYLLABUS)
Week
Topics
Study Materials
1
INTRODUCTION TO TRAFFIC ENGINEERING: Definition of traffic engineering and
its applications, traffic engineering education in Turkey and the world, traffic safety
2
BASIC PRINCIPLES OF TRAFFIC ENGINEERING: Road, vehicle and road user
characteristics, perception-reaction time, visual acuity, acceleration, braking
performance of vehicles, safe stopping sight distance.
3
STATISTICAL ANALYSIS IN TRAFFIC ENGINEERING: Data evaluation, point
speed, percentage speed, time mean speed, space mean speed and their applications in
traffic
4
STATISTICAL DISTRIBUTIONS IN TRAFFIC ENGINEERING: Probability analysis,
Bernoulli distributions, Poisson distribution, Binomial distribution, Negative Binomial
distribution and their applications in traffic engineering
5
STATISTICAL DISTRIBUTIONS IN TRAFFIC ENGINEERING: Negative
Exponential distribution, Shifted Negative Exponential distribution, Erlang distribution,
Normal distribution and their application in traffic
6
TRAFFIC FLOW THEORY: Concept of speed, volume, density flow, headway.
Characteristics and analysis of speed, volume and density.
7
TRAFFIC FLOW THEORY: Speed- density models, Flow- density models, Speed- flow
models. Greenshilds model, Greenberg model, Underwood model, Drew Model, Bellshaped curve model, Logaritmik model, Parabolic model, shock wave models and their
applications in traffic.
8
MIDTERM EXAM
9
QUEUE THEORY: Stochastic and deterministic queue analysis and their applications in
traffic
10
TRAFFIC ENGINEERING SURVEYS: Speed, travel time and delay surveys, parking
survey, volume survey, demand forecasting survey.
11
INTERSECTIONS: Intersections, types of intersections, intersection theory, traffic
management at intersections, geometric design of intersections, intersections with
under passing and over passing.
12
INTERSECTION TRAFFIC CONTROL: Necessity of traffic signalization, types of
signalization, selecting of type of traffic signals, principals of signal planning
13
INTERSECTION TRAFFIC CONTROL: Computing of signal timing, Webster method,
Pignataro method, calculation of optimum cycle time
14
INTERSECTION TRAFFIC CONTROL : Capacity and delay estimation at signalized
intersections, stochastic, deterministic and time dependent delay models
RECOMMENDED SOURCES
1.
Textbook
Traffic Technology 1-2-3-4. M. Özdirim, T.C. Ministry of Interior, Gendarme General Commander
Ankara 2004.
2. Traffic Engineering R.P.Roess, W.R McShane, and E.S. Prassas, Prentice Hall, 1998, Second Edition.
3. Traffic Flow Fundamentals A.D.May, Prentice Hall, 1990.
Traffic Technique, K.Kutlu, Istanbul Technical University Civil Engineering Faculty Press, Istanbul, 1993.
Additional Resources
2
MATERIAL SHARING
Documents
Assignments
8 homeworks.
Exams
Midterm, Final, Supplementary Exams.
ASSESSMENT
EXAMS
QUANTITY
PERCENTAGE
Contribution of Mid -Term Examination to Overall Grade
1
40
Contribution of Final Examination to Overall Grade
1
60
TOTAL
100
COURSE'S CONTRIBUTION TO PROGRAMME
Nr.
Contribution
Programme Learning Outcomes
1 2 3 4 5
1
To gain the ability to apply knowledge of mathematics, science, and engineering to civil engineering
problems.
X
2
To be able to identify, model and solve civil engineering problems in consideration with safety,
economy, aesthetics and environmental factors.
X
3
To get familiar with modern techniques and computation methods in civil engineering.
X
4
To learn measurement and evaluation methods and techniques in civil engineering.
X
5
To gain the responsibility for work and labor safety in all civil engineering applications.
6
To be able to identify, analyze, and synthesize civil engineering problems and applications.
7
To have enough knowledge about construction materials.
8
To be able to conduct laboratory and site experiments, to evaluate, and to interpret experimental data.
9
To be able to work together with other people, to adapt teamwork.
X
10
To take initiative and responsibility, to work independently, and to innovate.
X
11
To gain the ability for effective written and oral communication in Turkish and English.
12
To recognize the need for, and to gain the ability to engage in life-long learning.
X
X
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Duration
(Hour)
Total Workload
(Hour)
Activities
Quantity
Course Duration (Including the exam week: 16x Total course hours)
16
3
48
Hours for off-the-classroom study (Pre-study, practice)
16
1
16
3
Assignments
8
2
16
Presentation / Preparing Seminar
1
2
2
Mid-term
1
6
6
Final examination
1
6
6
Total Work Load
94
Total Work Load / 30 (h)
3,1
ECTS Credit of the Course
3
4