Transport System Modelling (CVEN90063)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
Availability | Semester 1 |
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Fees | Look up fees |
AIMS
In undergraduate subjects, students are exposed to some engineering features of transport and traffic engineering. However, these do not fully provide the requisite knowledge and skills for understanding the modelling and planning aspects of transport system engineering. These competencies are of highest importance for those interested in a career in transport engineering. In this subject, students will be provided with the fundamental concept of four-step modelling in depth, including trip generation/attraction, trip distribution, modal split and traffic assignment. The contemporary topics of transport modelling such as choice modelling, car-ownership and uncertainty modelling in the context of transport infrastructure engineering will also be presented. The subject provides real world examples and assignments. The primary emphasis of the subject is on concepts (rather than mathematical details) and getting students ready for the industry.
Please view this video for further information: Transport System Modelling
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On successful completion of this unit, students should be able to:
- Describe the component models and the modelling framework used in transport network modelling and complex systems
- Assess the strengths and weaknesses of various transport models
- Apply the 4-step and activity-based modelling theories in transport planning
- Implement trip generation/attraction, trip distribution, modal split and traffic and transit assignment in transport strategic modelling
- Discuss uncertainty in planning transport infrastructure projects
- Demonstrate skills in conducting traffic impact study
- Assess contemporary issues in transport modelling and planning
Generic skills
- Ability to undertake problem identification, formulation and solution;
- Ability to communicate effectively, with the engineering team and with the community at large;
- Ability to manage information and documentation.
Last updated: 8 November 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
CVEN90048 | Transport Systems | Semester 2 (On Campus - Parkville) |
12.5 |
OR
Admission into the 761EM Master of Engineering Management
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Linear algebra, proficiency in using spread sheets for statistical analysis.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 8 November 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Individual assignment 1, Trip generation/attraction. Intended Learning Outcomes (ILOs) 3 and 4 are addressed in this assignment.
| Week 3 | 20% |
Individual assignment 2, Modal split and traffic assignment. ILOs 3 and 4 are addressed in this assignment.
| Week 6 | 15% |
Individual assignment 3, Simulation. ILOs 3 and 4 are addressed in this assignment.
| Week 9 | 15% |
Examination. ILOs 1 to 7 are addressed in this assignment.
| During the examination period | 50% |
Last updated: 8 November 2024
Dates & times
- Semester 1
Principal coordinator Neema Nassir Mode of delivery On Campus (Parkville) Contact hours 48 hours (2 hours lectures, 2 hours workshop per week) Total time commitment 200 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024 Semester 1 contact information
Neema Nassir
email : neema.nassir@unimelb.edu.au
Time commitment details
Total Time Commitment: 200
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 8 November 2024
Further information
- Texts
- Subject notesLEARNING AND TEACHING METHODSKey learning and teaching methods include:Lectures and group discussion of core themes and concepts. These are delivered by academic staff members. Lectures include in-depth discussion of theories and algorithms required for modelling transport systems, ranging from user equilibrium and system optimal models for traffics networks, advanced discrete choice models, and travel demand forecasting models. Lectures and tutorials include teaching and practice of basics of programming skills in Python and SQL at beginner’s level. Two hours of lectures are offered for each week of the academic program.Engagement with required and suggested readings and information/programming sources online. Online readings and information sources cover a mixture of textbooks, journal papers, online references and databases, government reports or guidelines, and other textual resources. Students are expected to undertake a minimum 2 hours per week of reading and resource review to support concept acquisition and knowledge contextualisation, and the execution of tutorial exercises.Tutorial and tutorial exercises in smaller-group format. This approach includes in-depth presentation and discussion of problems, codes and models, classic Q&A and step-by-step programming exercises. Tutors are primarily drawn from the specialist lecturers tutoring in smaller groups, on specialised topics, with reference to the weekly tutorial exercises. Two hour of tutorial time is available per week of the program.INDICATIVE KEY LEARNING RESOURCESBoyles et al. 2020, Transportation Network Analysis, Volume I: Static and Dynamic Traffic AssignmentKoppelman and Bhat 2006. A Self Instructing Course in Mode Choice Modeling: Multinomial And Nested Logit Models.Cascetta 2013, Transportation systems engineering: Models and Applications.Greene 2007, Econometric Analysis, Sixth Edition, New York UniversityCAREERS / INDUSTRY LINKSState Government departments and agencies are involved in providing input to the course material as well as data for the major assignment.Students are also alerted to student membership opportunities at these organisations and encouraged to consider applying for membership.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Engineering Structures Course Master of Environmental Engineering Course Master of Engineering Management Specialisation (formal) Civil Specialisation (formal) Mechanical Specialisation (formal) Structural Specialisation (formal) Environmental Specialisation (formal) Mechanical with Business - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
Last updated: 8 November 2024