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Special Course of Scientific Research in the Field of Specialty, Part 1

Major: Smart transport and logistics for cities
Code of Subject: 7.275.04.O.4
Credits: 5
Department: Transport Technologies
Lecturer: PhD, Taras Postranskyy
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
1. Ability to initiate, develop and perform individually or in national (international) group projects on operations improvement on transport.
2. Ability to organize the group work and also motivate and manage its work.
3. Ability to use modern technologies of freight forwarding activity.
4. Ability to research and control the movement of vehicles
5. Ability to use smart transport and logistics in cities.
6. Ability to conduct an assessment of transport systems in city infrastructure.
7. Analyze and justify expediency of scientific recommendations appliance and modern methods of vehicle movement management.
8. Analyze and simulate traffic flows in city centers.
9. Ability to describe the results of scientific research on smart transport and logistics in publications in national and foreign specialized publications.
Required prior and related subjects:
• Information support of roadway users,
• Methods and models of traffic engineering,
• Fundamentals of transport research and forecasting,
• Traffic engineering (part 1).
Summary of the subject:
While studying this discipline, the student acquires theoretical and practical knowledge and skills in studies of traffic indicators and forecasting their changes in time. Also detailed the documentary studies and modeling of movement in specialized software environments. Detailed the methods of the traffic flow indicators measuring. Analyzed methods for assessing the physiological indicators of the vehicle`s driver. Students using computer technology can research the indicators of the driver`s functional state.
Recommended Books:
1. Sy`stemologiya na transporti. Texnologiya naukovy`x doslidzhen` i texnichnoyi tvorchosti [Gavry`lov E. V., Dmy`try`chenko M. F., Dolya V. K. ta in.] ; za red. M. F. Dmy`try`chenka. – K. : Znannya Ukrayiny`, 2007. – 318 s. – (5 kn./ Gavry`lov E. V., Dmy`try`chenko M. F., Dolya V. K. ta in.; kn. 2).
2. Sy`stemologiya na transporti. Organizaciya dorozhn`ogo ruxu [Gavry`lov E. V., Dmy`try`chenko M. F., Dolya V. K. ta in.]; za red. M. F. Dmy`try`chenka. – K. : Znannya Ukrayiny`, 2007. – 452 s. – (5 kn./ Gavry`lov E. V., Dmy`try`chenko M. F., Dolya V. K. ta in.; kn. 4).
3. Cascetta, E. (2009). Transportation Systems Analysis: Models and Applications. Springer.
4. Ortu?zar S, J. D. D. and Willumsen, L. G. (2001). Modelling transport. Chichester New York, J. Wiley.
5. Hyndman, R. B. and Athanasopoulos, G. (2018) Forecasting: principles and practice. https://www.otexts.org/book/fpp2
6. Ceder, A. (2015) Public Transit Planning and Operation: Modeling, Practice and Behavior, Second Edition - CRC Press Book.
7. Dryu D. Teory`ya transportnыx potokov y` upravleny`e y`my` / D. Dryu; per. s angl. E. G. Kovalenko. – M.: Transport, 1972. – 0423 s.
8. Xomyak Ya. V. Organy`zacy`ya dorozhnogo dvy`zheny`ya / Ya. V. Xomyak. – K. : Vыsshaya shkola, 1986. – 276 s.
9. Sy`stemologiya na transporti. Ergonomika / [ Gavry`lov E. V., Dmy`try`chenko M. F., Dolya V. K. ta in. ] ; pid red. M. F. Dmy`try`chenka. – [5-ta kny`ga] – K. : Znannya Ukrayiny`, 2008. – 256 s.
10. Polishhuk V. P. Teoriya transportnogo potoku : metody` ta modeli organizaciyi dorozhn`ogo ruxu / V. P. Polishhuk, O. P. Dzyuba. – K. : Znannya Ukrayiny`, 2008. – 175 s.
11. Drejner N. Pry`kladnoj regressy`onnыj analiz / N. Drejner, G. Smy`t. – M.: Staty`sty`ka, 1973. – 392 s.
12. Guter R. S., Ovchy`nsky`j B. V. Эlementы chy`slennogo analy`za y` matematy`cheskoj obrabotky` rezul`tatov opыta / R. S. Guter, B. V. Ovchy`nsky`j. – M.: Nauka, 1970. – 432 s.
Assessment methods and criteria:
• orally reporting to the practical work by answering the questions the theoretical material on the topic and evaluation of lecture material through a control measure in a test (40%)
• online-writing exam in virtual learning environment of Lviv Polytechnic National University (60%)