代写CVEN30011 Smart Transportation 2025 Assignment 3代做留学生Matlab编程

CVEN30011

Smart Transportation 2025

Assignment 3

Smart transport project

3 October 2025

Project Background (same as A1&A2)

Imagine that you have been hired by a Local Government Area (LGA) in Metropolitan Melbourne to investigate how the new Suburban Rail Loop Line will serve and impact the area. The semester project involves an assessment of the area including the served population and their current travel alternatives as well as the proposition of complementary strategies that can enhance the benefits brought by the new line. Throughout the semester, you will work individually and in group to deliver the different components of the project as part of Assignments 1-3.

The LGA hiring your services will be determined based on the last digit of your Student ID. On the cover page of the project deliverable, you should include both your full Student ID number and the name of the LGA.

•    Student ID # ending with 0 or 1: Werribee Station – Wyndham LGA

•    Student ID # ending with 2 or 3: Sunshine Station – Brimbank LGA

•    Student ID # ending with 4 or 5: Broadmeadows Station – Hume LGA

•    Student ID # ending with 6 or 7: Heidelberg Station – Banyule LGA

•    Student ID # ending with 8 or 9: Cheltenham Station – Kingston LGA

Figure 1: Suburban Rail Loop Plan (Source: https://bigbuild.vic.gov.au/projects/suburban-rail-loop)

The SRL will create direct connections between the following LGAs: Bayside, Kingston, Monash,

Whitehorse, Manningham, Banyule, Darebin, Merri-bek (Moreland before 2022), Hume, Brimbank, and Wyndham.

For more information about the SRL project, visit: https://bigbuild.vic.gov.au/projects/suburban-rail-loop. Some additional information may be available within the relevant city council’s website.

Assignment 3 Task

The SRL aims to improve the connectivity of Melbourne’s rail network, which is currently radial and requires travellers to go to the CBD if they want to reach suburbs served by different train lines.

In the previous assignments, you analysed the characteristics of the demand surrounding the SRL stations and you examined the existing public transport options in the area. You also investigated how the new SRL service may change travel patterns.

In this assignment, you will propose a complementary project that can enhance the access, usage, and benefits brought by the new SRL line in your LGA. The project theme should follow one of the four topics below and you must have attended the lecture associated with the chosen topic:

•    Shared micromobility system (Week 9): The project should propose a new shared micromobility system.

•    User crowdsourced (telematics) data application (Week 10): The project should propose an application that leverages user crowdsourced data.

•    Transport Demand Management (TDM) strategy (Week 11): The project should propose one TDM strategy (can be any type of TDM).

•    Cooperative & Intelligent Transport System (C-ITS) application (Week 12): The project should propose an ITS or C-ITS application.

This task is a report in the form. of a data-driven essay. This means that statements and arguments need to be evidence-based and supported by data and/or references.

The data used to support statements and arguments can be extracted from A1 and A2, or you can use the tools used in these assignments (ABS Data by Region, TableBuilder Pro, QGIS with associated files, and GTFS) to conduct new analyses and generate new data. Tables, graphs, and maps should be included in the report and properly referenced. Numbers included in the text should also be cross-referenced, either to a table/graph/map that you have included or to an external source, such as a specific Data by Region table or scientific publications, government and consulting reports. All the provided information must be traceable.

The report should contain four parts identified with headings:

1.    Executive summary: A concise and stand-alone overview of the report, identifying the LGA, key problems and the project proposed to address those. [max 100 words]

2. Study area: A description of the characteristics of the activity system (land use) and transport system (demand and supply) in the LGA. This description should  be supported  by data/maps. [max 300 words]

3.    Problem  statement: A critical analysis of the activity and transport systems that examines the accessibility of the SRL station and identifies one or more shortcomings in transport supply that may limit the usage and benefits brought by the new line to the LGA. Accessibility and level-of-service (LOS) metrics should be used to support your analysis. [max 300 words]

4. Project: Propose a project that can address one or more of the identified transport supply issues and/or improve access to the station to boost the use of the SRL line. This includes a description and justification for the project demonstrating how the project addresses the problem(s) and the associated: [max 500 words]

i.   Strategic considerations: Who will be the users or the affected population? Where will this   service/application/strategy/technology be implemented (identifying coverage areas or specific locations)?

ii.   Tactical and operational considerations: When will it operate? How will it operate? You will need to select the relevant operational attributes to be considered, as they will vary depending on what you are proposing.

iii.    Performance metrics: What metrics can planners use to assess whether the project met its objectives and generated the intended outcomes?

There are multiple possible pathways to develop the project, and they will be correct as long as they are clearly explained, evidence-based (data and other quality references), and in alignment with transport theory presented in the lectures and readings of CVEN30011 . All statements and arguments should be specific to your study area, avoiding generic statements that are considered common sense.

Assignment 3 Submission Information

•    This assignment is worth 100 points that translate into 30% of your final mark.

•    The  deliverable should include a cover  page including the assignment title, student name and ID number as well as the name of the LGA and the total word count (excluding tables and reference list). There is no minimum number of words required.

•    Assignments with more than 1300 words (excluding tables and reference list) will be penalised in 8 points. Attempts to mask the word count by transforming text into images will also be penalised.

•    References should follow Harvard Style. or APA.

•    Students must have attended the lecture associated with their essay topic. Failing to meet this requirement will result in a null mark for this assignment.

•    Extensions of more than 3 days need to be requested via special consideration (APEX system).

•    Late submissions will be penalised in 1.5 points per day.

•    The use of AI assistants for text generation and/or editing is strictly prohibited in this assignment and will incur in a null mark for the assignment.

•    Tables, graphs, and maps should be numbered and mentioned in the text. They should have associated caption describing the content and clearly stating the data source, data set, and selected variables.

• The due date is the 2nd November 2025 at 23:59.

Questions about Assignment 3

Questions about the assignment will not be answered via email. If you have a question, please post it in the EdDiscussion board under the specific assignment thread. Before posting you question, check if the answer has not already been posted. You are also encouraged to ask questions during the tutorials and lectures.

Tutorial sessions in Week 12 will be dedicated to answering your questions about this assignment.

Extensions

Extension requests of more than 3 working days need to be requested via APEX system (special consideration). Extensions ≤ 3 working days need to be submitted using an online declaration to the coordinator by 17:00 (5:00pm) on the Thursday that precedes the due date. Requests sent to the tutor or after this date will not be accepted. Requests will be evaluated on a case-by-case basis. Further details are available within the “Welcome” module on Canvas.

Why is this task called a data-driven essay?

Technical reports can sometimes be too descriptive and lack critical analyses and perspectives. On the other hand, essays tend to focus on argumentation and critical analysis but may lack evidence. A data-driven essay brings both together, requiring evidence-based statements, analytical skills, and critical thinking.

Key similarities and differences:

Purpose:

•     Essay: Presents a clear argument or discusses a theoretical issue.

•     Report: Summarizes or documents findings from data, experiments, or case studies, aiming to provide clear, concrete information.

•     Data-Driven Essay: Uses data as evidence to support its argument, acting as a bridge between the two. Focus:

•     Essay: More conceptual and abstract.

•     Report: More concrete and focused on real-world issues or events.

•     Data-Driven Essay: Grounded in data but serves a more analytical purpose, similar to a conceptual essay, but with a concrete foundation.

Structure and Content:

•     Report: Organized with clear headings and includes data-heavy elements like tables and visuals.

•     Essay: Focuses on developing a cohesive argument through prose.

•     Data-Driven Essay: Incorporates data-heavy elements like reports but within a more essay-like flow, using the data to build the argument.

How Assignment 3 will be assessed

This assignment is worth 100 points that translate into 30% of your final mark. The marking criteria includes specific components (relative to the specific parts of the report) and holistic components (applicable to the work as a whole).

• Provision of supporting evidence through data (15)

o  No marks - Evidence is rarely or not provided. (0)

o  Poor - Most evidence is anecdotal, often lacking data support and/or source explanation. (3.75)

o  Pass - Some of the study area description, problem statement and project are supported by

adequate data. Noticeable mistakes or data sources, data sets, and variables are often unclear. (7.5)

o  Good - Most of the study area description, problem statement and project are supported by

adequate data. Rare mistakes or data sources, data sets, and variables are rarely unclear. (11.25)

o  Excellent - All the study area description, problem statement and project are supported by adequate data. Rare mistakes or data sources, data sets, and variables are complete and correct. (15)

• Provision of supporting evidence from high quality references (5)

o  No marks - Evidence is rarely or not provided. (0)

o  Poor - Most evidence is anecdotal, often lacking references or supporting information specific to the problem/project in the study area. (1.25)

o  Pass - Some adequate references and information that is relevant to the problem/project in the specific study area. Noticeable misinterpretations or missing evidence. (2.5)

o  Good - Most of ideas are supported by adequate references and information that is relevant to the problem/solution in the specific study area. Minor misinterpretations or missing evidence. (3.75)

o  Excellent - All the proposed ideas are supported by adequate references and information that is relevant to the problem/solution in the specific study area. No misinterpretations or missing evidence. (5)

• Ability to explain the study area (LGA) (10)

o  No mark – Study area explanation is missing.

o  Poor - Study area explanation is limited and lacks precision in relation to the relevant systems and LGA characteristics. (2.5)

o  Pass - Study area explanation may be limited or lack precision in relation to the relevant systems and LGA characteristics. (5)

o  Good – Study area is described sufficiently and somewhat precisely in relation to the relevant systems and LGA characteristics. (7.5)

o  Excellent – Study area is described comprehensively and precisely in relation to the relevant systems and LGA characteristics. (10)

• Ability to develop the problem statement for the study area (LGA) (10)

o  No mark – The problem statement is missing. (0)

o  Poor - The problem statement is limited and lacks precision in relation to the relevant systems and LGA characteristics. (2.5)

o  Pass - The problem statement may be limited or lack precision in relation to the relevant systems and LGA characteristics. (5)

o  Good – The problem statement contains sufficient depth and is somewhat precise in relation to the relevant systems and LGA characteristics. (7.5)

o  Excellent – The problem statement is comprehensive and precise in relation to the relevant systems and LGA characteristics. (10)

• Ability to explain the proposed project for in the study area (LGA) (15)

o  No mark – The proposed project explanation is missing. (0)

o  Poor - The proposed project explanation is limited and lacks precision in relation to the identified issues in the LGA. The justification and description of strategic, tactical, and operational considerations are mostly incorrect or missing significant components. (3.75)

o  Pass - The proposed project explanation is somewhat limited or sometimes lacks precision in relation to the identified issues in the LGA. The justification and description of strategic, tactical, and operational considerations as well as performance indicators have some mistakes or some components are missing. (7.5)

o  Good – The proposed project explanation is sufficient and mostly precise in relation to the identified issues in the LGA. The justification and description of strategic, tactical, and operational considerations as well as performance indicators may have minor mistakes, but no components are missing. (11.25)

o  Excellent – The proposed project explanation is comprehensive and precise in relation to the identified issues in the LGA. The justification and description of strategic, tactical, and operational considerations as well as performance indicators are complete and correct. (15)

• Demonstration of effective engagement with transport theory and the subject’s material (10)

o  No marks - Claims, evidence, and reasoning are not consistent with accepted disciplinary ideas and practices covered in the readings and lectures. (0)

o  Poor - Claims, evidence, and reasoning are minimally consistent with accepted disciplinary ideas and practices covered in the readings and lectures. (2.5)

o  Pass - Claims, evidence, and reasoning are partially consistent with accepted disciplinary ideas and practices covered in the readings and lectures. (5)

o  Good - Claims, evidence, and reasoning are mostly consistent with accepted disciplinary ideas and practices covered in the readings and lectures. (7.5)

o  Excellent - Claims, evidence, and reasoning are fully consistent with accepted disciplinary ideas and practices covered in the readings and lectures. (10)

• Critical thinking - Criterion 1 – Ability to evaluate the relevance of information (5)

o  No marks – All arguments and conclusions are underdeveloped or developed around irrelevant or unreliable information. (0)

o  Poor - Minimally determined the relevance and reliability of information that might be used to support an argument or conclusion. (1.25)

o  Pass - Partially determined the relevance and reliability of information that might be used to support an argument or conclusion. (2.5)

o  Good - Sufficiently determined the relevance and reliability of information that might be used to support an argument or conclusion. (3.75)

o  Excellent - Extensively determined the relevance and reliability of information that might be used to support an argument or conclusion. (5)

• Critical thinking - Criterion 2 - Ability to analyse information (5)

o  No marks – Did not interpret information or inaccurately interpreted information to determine meaning and to extract relevant evidence in all instances. (0)

o  Poor - Accurately interpreted information to determine meaning and to extract relevant evidence in very few instances. Frequent errors or lack of interpretation. (1.25)

o  Pass - Accurately interpreted information to determine meaning and to extract relevant evidence in some instances. Some errors or lack of interpretation. (2.5)

o  Good – Accurately interpreted information to determine meaning and to extract relevant evidence in most instances. Infrequent errors or lack of interpretation. (3.75)

o  Excellent - Accurately interpreted information to determine meaning and to extract relevant evidence in all instances. (5)

• Critical thinking - Criterion 3 - Ability to synthesise information and ideas (5)

o  No marks - Information is never integrated. Arguments are purely descriptive. (0)

o  Poor - Accurately connected or integrated information to support an argument or reach a conclusion is demonstrated in very few instances. (1.25)

o  Pass - Accurately connected or integrated information to support an argument or reach a conclusion is demonstrated in some instances. (2.5)

o  Good - Accurately connected or integrated information to support an argument or reach a conclusion is demonstrated in most instances. (3.75)

o  Excellent - Accurately connected or integrated information to support an argument or reach a conclusion is demonstrated in all instances. (5)

• Creativity (5)

o  No marks. (0)

o  Poor - The proposed project is generic. (1.25)

o  Pass - The proposed project is status quo. Similar to many other projects. (2.5)

o  Good - The proposed project has some unique and pertinent features. Different than many other projects. (3.75)

o  Excellent - The proposed project is absolutely unique and all innovative features are pertinent to the problem. Different than all other projects. (5)

• Clarity (5)

o  No marks. (0)

o  Poor - Much detail missing and/or conflicting information provided. (1.25)

o  Pass - More detail or clarity needed. May contain lengthy text making it difficult to find the relevant information. (2.5)

o  Good - Generally clear. (3.75)

o  Excellent - Very clear reasoning. Structure is concise and easy to follow. (5)

• Completeness and format fidelity (10)

o  No marks - Major components missing. (0)

o  Poor - Major deviations from recommended structure. Above the word limit or does not include the executive summary. (2)

o  Average - Some deviations from recommended structure or some components missing. Within the word limit and includes the executive summary. (5)

o  Good - Minor deviations from recommended structure or minor components missing. Within the word limit and includes the executive summary. (7.5)

o  Excellent - Recommended structure was followed and no component is missing. Within the word limit and includes the executive summary. (10)

What you will learn and experience through the set of assignments

The objective of Assignments 1-3 as a set is to take you through the process of a transport planning project using a scaffolded approach. In education, scaffolding refers to a supportive framework that lets students feel comfortable taking the  next step  in their learning.  Educators gradually  release  responsibility to  the student as they master the necessary skills within meaningful activities. As we move through Assignments 1 and 2, the questions will become more and more open-ended. In the current assignment, you can find very specific questions as well as questions that require your independent judgement of what should be part of the answer.

Intended Learning Outcomes

On completion of this subject, students should be able to:

ILO1. Comprehend basic theories used in transport engineering to explain transport systems, their elements, and relationships.

ILO2. Collect and analyse different types of transport data using Geographic Information Systems (GIS) and spreadsheet software.

ILO3. Evaluate urban transport systems using multi-modal level of service measures that include accessibility and equity dimensions.

ILO4. Propose and asses innovative transport solutions based on social, temporal, and spatial aspects of the demand.

ILO5. Demonstrate the ability to produce a technical report within the transport industry standards individually and as a team.

By completing Assignment 3, students will be working toward achieving ILO1-5.