代做TRAN5210M TRAFFIC MANAGEMENT COURSEWORK 1代做回归

TRAN5210M TRAFFIC  MANAGEMENT

COURSEWORK  1

Assessment of traffic management measures on A660 corridor and

Clarendon road junction

Submission deadline: 2PM (UK time) Wednesday 3rd April 2024

This coursework accounts for 50% of the final mark for the module.

The data

For this coursework, we will utilise the data collected on this year’s TDCA fieldwork conducted on Friday 27th of October 2023 from 09:00 to 17:00 at Clarendon road/A660 Junction. The coursework task requires you to analyse the current traffic

management measues on A660 corridor and Clarendon road junction, and to recommend solutions to the identified issues.

The data set collected during the survey is available in the ‘Assessment and Feedback’

section of the module Minerva site. Table 1 summarises the most relevant activities that can be used to support the assessment required for the coursework.

Activity	Fieldwork Activity Description	Location
1	Bus service frequency, occupancy, and dwell times	A+B+C
3	Passenger occupancy counts for cars and taxis	A
4	Classified vehicle count of all turns on intersection	B + C
5	Air quality measurement	B
6	Pedestrian crossing count	C
7	Cycling activity	C
8	Travel surveys	D

In addition to this data, you also have available a recording of the junction from the

fieldwork day in 2022 from 8:20 to 10:30.  This can be used for additional support to complete the coursework tasks. More interactive video/image resources will be added in Minerva within the next weeks.

The Tasks

You are required to prepare a report which analyses the data provided and proposes traffic management strategies to shift the demand towards more sustainable travel modes. Your report should answer the following questions:

1.-    Estimate and discuss the modal split (of people, not vehicles) outbound during the study period.     15 marks

2.-    Identify and discuss the current issues with the public transport provision in the corridor. You should support this task with

relevant datasets from the fieldwork and other video/image resources. 20 marks

3.-    Based on your analysis on the tasks above, recommend and justify

traffic management measure(s) to shift demand from private vehicles to public transport. You may use other datasets from the data collection exercise to jutify your proposed measures and calculate benefits such as potential reduction in emissions. 25  marks

4.-    Identify and discuss the issues concerning the movement of

pedestrians and cyclists at the Clarendon road/Woodhouse lane junction. You should support this task with relevant datasets from the fieldwork and other video/image resources. 20 marks

5.-    In the light of your answer to task 4, what changes would you

recommend? You may use other datasets and observations from the video recordings to jutify your proposed measures. 20 marks

This is a data-driven coursework, thus any recommendation must be justified with results from your analysis. Due to the nature of the data, you will only be able to do some of these tasks approximately. You should explain your methods and state clearly what assumptions and simplifications you have had to make.

Your submission

You are required to write a coherent report of 2000 words (excluding tables, calculations, diagrams and  appendices).  It  is  recommended that you write  succinct answers to the questions and use appendices to support your answers.

Timetable

The report is due to be submitted by 13:59 (UK time) on Wednesday 3rd April 2024.

Credits

This coursework counts for 50% of your mark for this module.

Feedback to Students

At Institute for Transport Studies, you will usually receive your feedback before your next assessment for the module is due. Feedback will be appropriate to the type of assessment and is to inform. you about how you can improve your work. This will    include generic feedback on common themes which maybe relevant to the module group as whole.

Students may request further verbal feedback/clarification from the relevant module leader or tutor.

As part of the University’s policy on inclusive marking, some disabled students such as those with specific learning difficulties (SpLDs) will be eligible to attach an electronic   cover sheet to their work.

Engaging with the feedback you receive is an important part of your learning

experience. You are expected to be active in obtaining, reflecting on and acting on the feedback given to you. Ensure you are familiar with how to access your feedback.

Timing of Feedback

Usually, you will receive your feedback before your next assessment for the module is due. This will not be later than 15 working days after you submit your piece of work.

Exceptions might need to be made usually due to reasons outside of the School’s

control. If this happens, you will be told why the date has been changed and the school, module leader or tutor will provide you with a new date for when you can expect your  feedback.

File naming standards and anonymous marking

When submitting your coursework you should follow these standards:

- Ensure your student ID is included in the filename

- Add the module code TRANXXXXM and the coursework component e.g., CW1

- Example: STUDENTID_TRANXXXXM_CW1.docx

- Do not include your name in the filename or in the actual document

Your ID number should be included in the header in the top right hand corner of every page after the title page, and the module number in the top lefthand corner of every page after the title page.

Coursework Submission

All coursework should be submitted electronically through turnitin by the 1:59pm on the day of the deadline. Each assignment will have its own electronic submission folder in which you can upload your work.

It is your responsibility to make sure you are aware of the deadline for each piece of work. Late submission will lead to the imposition of the normal University penalties.

When submitting group work, note that it is the whole group’s responsibility to submit the work on time, whether one person or each member of the group have been asked to submit the work.

We recommend that you submit your work on PDF format, as to avoid any formatting issues. You can find step by step instructions on how to convert to PDF from different Microsoft office apps onthis link.

Academic Integrity

All work submitted for assessment is expected to be your own independent work.  It must not  be work that has been submitted for another assessment either at the

University or elsewhere.  Where you have been asked to work with others, or where you arepresenting other people’s work as part of an assessment, you must fully

acknowledge this.  Where you are suspected of submitting work for assessment in

breach of University regulations you maybe investigated and penalised for academic misconduct.

It is important that students familiarise themselves with the University’sexpectations of academic integrity and the academic misconduct procedure.  Further details of the

University’s expectations can be foundhere.

Generative Artificial Intelligence (Gen AI) on this assignment

The University permits the use of dictionaries, thesauri, spelling- and grammar-checking software (including systems powered by Gen AI) for all assignments, but ONLY to assist you in identifying and correcting specific spelling and grammatical errors.

You CANNOT use any such tools or software to rewrite sentences or to make substantive changes to your text, as this would mean that you could longer honestly claim to be the sole author of the work submitted for assessment.

In addition, the following specific instructions about Gen AI use apply to this assignment.

Generative AI category: AMBER

Under this category, AI tools can be used in this assessment in an assistive role for the specifically defined processes.

In this assessment, AI tools CAN be utilised in an assistive role to:

.    Act as a support tutor to aid in the research of a topic.

In this assessment, AI tools CANNOT be utilised to:

.    For any other functions beyond those listed above. In particular, you must not use Gen AI to produce any of the final text, or  other content, that you submit for assessment.

The use of Generative AI must be acknowledged in an ‘Acknowledgements’ section of  any piece of academic work where it has been used as a functional tool to assist in the process of creating academic work. The minimum requirement to include in acknowledgement:

.     Name and version of the generative AI system used (e.g. ChatGPT-4.0)

.     The publisher/company that produced the Gen AI used (e.g. Open AI)

.     URL of the AI system

.     Brief description (single sentence) of context in which the tool was used.

The standardAcademic Misconduct procedureapplies for students believed to have

ignored this categorisation. For detailed guidance seehttps://generative- ai.leeds.ac.uk/ai-and assessments/categories-of-assessments/

Referencing

In  the  Institute  for  Transport  Studies  we  expect  students  to  use  the  Leeds  Harvard referencing style in their assignments. Guidance on how to include citations within your text    and    how     to    reference     different    types     of    material     is    provided     here: http://library.leeds.ac.uk/skills-referencing.

Word Count Penalties

Penalties for Exceeding Word Count

Assignments maybe subject to a word limit, as specified in the assignment specification.

Unless stated otherwise, EVERYTHING except the title, content of tables and figures, reference list or bibliography, and any appendices is included in the word count. The content included in tables, figures and appendices should be appropriate for the assignment.

It is School policy that a penalty for exceeding the word limit will be applied and you are required to provide an accurate word count on the front cover of your assignment.

Word counts will be checked randomly on electronic copies of submitted work.

The published maximum word count for any piece of work is absolute; any excess beyond this limit, however small, will be penalised. For work that exceeds the word limit, the following penalties will be applied:

Written text		Audio (e.g. podcast) or film
xceedsword limit by	arks to be deducted	xceeds time limit by	arks to be deducted
Up to 9.99%	5	Up to 9.99%	5
10.00 to 19.99%	10	10.00 to 19.99%	10
20.00 to 29.9%	15	20.00 to 29.9%	15
30.00 to 39.99%	20	30.00 to 39.99%	20
40.00 to 49.99%	25	40.00 to 49.99%	25

If the word count exceeds the word limit by more than 50%, the mark awarded for the work will be zero (on the 0-100 marking scale).

Audio and film assignments are penalised in the same manner (see table above). Zero marks will be awarded for assignments more than 50.0% over the allowed duration. Acknowledgements and credits, if included, do not count towards this timing.

Penalties for Late Submission of Coursework

If you submit your work past the deadline, penalties will be applied.

For every period of 24 hours or part thereof that your assessment is overdue, you will   lose 5% of the total marks available for that assessment. This includes weekends, Bank Holidays and University closed days.  If your assessed work is over 14 days late, the

submission will be deemed to have failed for non-submission (a day being a single 24- hour period).

Late submissions for Online Time Limited Assessments will not be accepted in any circumstances.