Smart Transport

Major: Smart transport and logistics for cities
Code of subject: 7.275.04.E.029
Credits: 7.00
Department: Transport Technologies
Lecturer: Ph.D., Associate professor Mykola Zhuk
Semester: 3 семестр
Mode of study: денна
Learning outcomes: 1. To find optimal solutions for the use of intelligent transport and logistics in cities. 2. Analyze and simulate traffic flows in the city center. 3. Estimate and predict the parameters of material and human flows. 4. To predict and design smart city transport systems. 5. Predict the development of the transport services market. 6. To evaluate the influence of people and the environment on the safety and stability of urban logistics.
Required prior and related subjects: • Supplying information to roadway users; • Traffic engineering; • Logistic.
Summary of the subject: The urban freight and passenger transport markets in Ukraine and EU. European policy on urban transport. Passenger Transport System in an ITS Context. Smart infrastructure technologies. Network and traffic management systems Vehicle Connectivity. Optimisation processes and the distribution of control actions. Urban traffic management. Mobility information systems. Optimisation of transport flows. Sustainable Transport Strategies. City Logistics in Urban Centre. Impacts Electrification of Public Transport in cities.
Assessment methods and criteria: • writing reports from practical work, oral examination, cash and graphics work (40%); • final control (50% control measure, test), written-oral form (60%).
Recommended books: 1. Cascetta, E. (2009). Transportation Systems Analysis: Models and Applications. Springer. 2. Stock J, Lambert D (2001), Strategic Logistics Management, McGraw-Hill 3. Sussman, J. S. Perspectives on Intelligent Transportation Systems (ITS) [Текст] / Joseph S. Sussman. – Springer, 2005. – 229 p. 4. Chopra S., Meindl P., (2010) Supply chain Management. Strategy Planning Operation” 5. Ceder, A. (2015) Public Transit Planning and Operation: Modeling, Practice and Behavior, Second Edition - CRC Press Book. 6. Mogre, R. Intelligent Transportation Systems: A Private Organizations Perspective [Текст] / Riccardo Mogre. LAP Lambert Acad. Publ., 2010. – 156 p. 7. Hyndman, R. B. and Athanasopoulos, G. (2018) Forecasting: principles and practice. https://www.otexts.org/book/fpp2 8. Support tools R - R Project for Statistical Computing MS Office (Excel, Word, PowerPoint) 9. Ceder, A. (2015) Public Transit Planning and Operation: Modeling, Practice and Behavior, Second Edition - CRC Press Book.