CIV5309 · Transport and traffic data

Overview

This unit introduced you to the systematic collection, interpretation and presentation of transport and traffic data. The systems approach to survey design is introduced and the trade-offs involved in the allocation of survey resources are examined. The unit is designed to provide a rigorous and practical coverage of the collection of transport and traffic data using traditional traffic and travel surveys as well as through advanced technologies. The unit discusses new and innovative techniques for measuring and monitoring the performance of transportation systems and evaluating changes in demographic and urban travel characteristics. You will be introduced to advanced transportation data collection technologies and will learn how to manage, analyse, and visualize large and advanced datasets.

Offerings

The Handbook publishes no offerings for this unit.

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 50% Final assessment: 50% This unit contains hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Design traffic and transport data collection initiatives with due consideration to manual and automatic data collection options.
2. Assess the tradeoffs involved in allocation of survey resources.
3. Evaluate transport and traffic data on the basis of its quality and relevance and interpret that data to identify key insights.
4. Design appropriate presentation of transport and traffic data to communicate its underlying temporal and spatial dimensions

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-8 hours independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Student experience, not official rules. Nothing here changes what the Handbook says.