Search result: Catalogue data in Autumn Semester 2016
Civil Engineering Master | ||||||
1. Semester | ||||||
Major Courses | ||||||
Major in Transport Systems | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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101-0427-01L | System and Network Planning | O | 6 credits | 4G | U. A. Weidmann | |
Abstract | Public transports in the context of the transport systems; customer needs in the transport market; service planning processes for regular public transport services; long distance, regional and urban public transport service strategies; access to public transport and the last mile | |||||
Objective | Students will develop a basic knowledge of all stages of the public transport planning process from market demand to service planning; they will understand the most relevant planning methods and will be able to use them | |||||
Content | (1) Fundamentals of system and network planning: Mobility and transport systems; public transport systems; customer needs versus supply characteristics of regular services. (2) System and network planning in public passenger services: Goals of the system and network planning; generic planning process; demarcation, analysis of the situation, setting of targets; design of public transport services; evaluation and optimization; system planning. (3) Public transport services: long distance service offers; suburban and urban service offers; regional and local service offers; access to public transport and the last mile. | |||||
Lecture notes | A script in German will be provided for the course. The slides are made available. | |||||
Literature | References to technical literature will be included in the course script. An additional list of literature will be given during the course. | |||||
Prerequisites / Notice | No remarks. | |||||
101-0437-00L | Traffic Engineering | O | 6 credits | 4G | M. Menendez | |
Abstract | Fundamentals of traffic flow theory and operations. | |||||
Objective | The objective of this course is to fully understand the fundamentals of traffic flow theory in order to effectively manage traffic operations. By the end of this course students should be able to apply basic techniques to model different aspects of urban and inter-urban traffic performance, including congestion. | |||||
Content | Introduction to fundamentals of traffic flow theory and operations. Includes understanding of traffic data collection and processing techniques, as well as data analysis, and traffic modeling. | |||||
Lecture notes | The lecture notes and additional handouts will be provided during the lectures. | |||||
Literature | Additional literature recommendations will be provided during the lectures. | |||||
Prerequisites / Notice | Verkehr III - Road Transport Systems 6th Sem. BSc (101-0415-00L) Special permission from the instructor can be requested if the student has not taken Verkehr III | |||||
101-0417-00L | Transport Planning Methods | W | 6 credits | 4G | K. W. Axhausen | |
Abstract | The course provides the necessary knowledge to develop models supporting the solution of given planning problems. This is done by dividing the forecasting problem into sub-problems. The course is composed of a lecture part, providing the theoretical knowledge, and a applied part, in which students develop their own models. | |||||
Objective | - Knowledge of methods and algorithms commonly used in transport planning - Ability to independently develop a transport model able to solve / answer the given problem / questions - Understanding of algorithms and their implementations commonly used in transport planning | |||||
Content | The course provides the necessary knowledge to develop models supporting the solution of given planning problems. Examples of such planning problems are the estimation of traffic volumes, prediction of estimated utilization of new public transport lines, and evaluation of effects (e.g. change in emissions of a city) triggered by building new infrastructure and changes to operational regulations. To cope with the forecasting problem it is first divided into sub-problems. Then, these are solved using various algorithms like iterative proportional fitting, shortest path algorithms and the method of successive averages. The course is composed of a lecture part, providing the theoretical knowledge, and a applied part, in which students create their own models. This part takes place in form of a tutorial and consists in the development of a computer program. The programming part is closely guided and particularly suitable for students with little programming experience. | |||||
Lecture notes | The slides of the lecture are provided electronically. | |||||
Literature | Willumsen, P. and J. de D. Ortuzar (2003) Modelling Transport, Wiley, Chichester. Cascetta, E. (2001) Transportation Systems Engineering: Theory and Methods, Kluwer Academic Publishers, Dordrecht. Sheffi, Y. (1985) Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods, Prentice Hall, Englewood Cliffs. | |||||
401-0647-00L | Introduction to Mathematical Optimization | W | 5 credits | 2V + 1U | D. Adjiashvili | |
Abstract | Introduction to basic techniques and problems in mathematical optimization, and their applications to problems in engineering. | |||||
Objective | The goal of the course is to obtain a good understanding of some of the most fundamental mathematical optimization techniques used to solve linear programs and basic combinatorial optimization problems. The students will also practice applying the learned models to problems in engineering. | |||||
Content | Topics covered in this course include: - Linear programming (simplex method, duality theory, shadow prices, ...). - Basic combinatorial optimization problems (spanning trees, network flows, knapsack problem, ...). - Modelling with mathematical optimization: applications of mathematical programming in engineering. | |||||
Literature | Information about relevant literature will be given in the lecture. | |||||
Prerequisites / Notice | This course is meant for students who did not already attend the course "Mathematical Optimization", which is a more advance lecture covering similar topics and more. | |||||
103-0317-00L | Sustainable Spatial Development I Only for master students, otherwise a special permisson by the lecturer is required. | W | 3 credits | 2G | B. Scholl | |
Abstract | The lectures imparts important knowledge for solving spatial relevant conflicts and problems. Case studies will be used to demonstrate the implementation in practice. | |||||
Objective | Spatial development deals with the development and the design of our living space. To meet the expectations, the interests and the plans of the different actors, it is needed a planning approach considering the overview of both the actual and future situation. The concept of sustainable development in spatial planning leads necessarily to an efficient management of the resources, especially regarding the resource land. The basics of this important discipline will be the subject of this lecture, which is therefore organised in three parts: - Inner development - Integrated spatial and infrastructure development - Cross-border issues in spatial development | |||||
Content | Contents Tasks of Spatial Planning and development Issues of local and supra-local interest Recurring spatial changes, impacts and key figures Formal and informal instruments and procedures in spatial planning Spatial Design - Ideas about the future Reasoning and assessing the situation in spatial planning Spatial planning as a sequence of decisions and interventions Process and procedures management Focus issues - Inner development before external development Focus issues - Cross-border tasks Focus Issues - Integrated spatial and infrastructure development | |||||
Lecture notes | Futher information and the documents for the lecture can be found on the homepage of the Chair of Spatial Development. | |||||
101-0499-00L | Basics in Air Transport | W | 4 credits | 3G | P. Wild | |
Abstract | The course explains main principles of air transport in general and elaborates on simple interdisciplinary topics. Since working on broad topics like aerodynamics, manufacturers, airport operation, business aviation, business models etc. the students gets a good overview in air Transportation. | |||||
Objective | Understand and explain basics, principles and contexts in the broader air transport industry. Lay the foundation of working in or with the air transport industry. Ideal foundation for Aviation II - Management of Air Transport | |||||
Content | Weekly: 1h independent preparation; 2h lectures and 1 h training with an expert in the respective field Concept: This course will be tought as Aviation I. A subsequent course is under evaluation. Content: Transport as part of the overall transportation scheme; Aerodynamics; Aircraft (A/C) Designs & Structures; A/C Operations; Law Enforcement; Maintenance & Manufacturers; Airport Operations & Planning; Customs & Security; ATC & Airspace; Air Freight; General Aviation; Business Jet Operations; Business models within Airline Industry; Military Operations. Technical visit: This course includes a guided tour at Zurich Airport (baggage sorting system, apron, ATC Tower). Examination: written, 60 min, open books (Examination in German; Answers may be given in English) | |||||
Lecture notes | Slides are provided prior to each class | |||||
Literature | Literature will be provided by the lecturers respective there will be additional Information upon registration | |||||
Prerequisites / Notice | We will also use English papers | |||||
101-0491-01L | Agent Based Modeling in Transportation (Additional JAVA Exercises) Recommended for students without JAVA skills in addition to LE101-0491-00 Agent Based Modeling in Transportation. | W | 3 credits | 2U | F. Ciari, M. Balac | |
Abstract | This course provides the basic concepts of high level programming languages to students without previous programming training. The language used is Java. Since this course is preparatory for the course Agent Based model in Transportation, the same simulation software, MATSim, will be used for several excercises. | |||||
Objective | The objective of this course is to make the students familiar with some basic concepts of object oriented programming and to give a short introduction to the Multi-agent transport simulation (MATSim) which will be used in the lecture (Agent Based Modeling in Transportation) following this one. The programming language used in the course is Java. This course, therefore, has the main goal of providing the students without previous programming training the skills necessary for the successful completion of the Agent Based Modeling in Transportation course. | |||||
Content | The main Java concepts explained in the course are: 1) Types, Variables, Operators 2) Methods, Conditionals, Loops, Arrays 3) Objects and Classes 4) Access control, Class scope, Packages, Java API 5) Design, Debugging, Interfaces 6) Inheritance, Exceptions, File I/O MATSim will be introduced on a basic level and its basic functionalities will be explained. Weekly exercises will be focused on building Java knowledge through various examples using the MATSim environment. | |||||
Prerequisites / Notice | Keine |
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