The future transport systems and infrastructure anchor around the Intelligent Transport Systems (ITS) based on the perspectives of users, business models and regulation/policy for all modes of transport and infrastructure. 
The unit offers students the understanding of technological, managerial and regulatory implications of ITS on transport systems, and how the relevant strategies might help build the transport infrastructure network to overcome the current challenges. The unit introduces the underlying concepts and standards of emerging technologies where the students appreciate the role of in-vehicle applications such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication; sensing technologies, wireless communication, computational technology; and user behaviour in transportation chain. 
The unit covers the integration mechanism of personalised mobility, digital assistants, big data analytics and autonomous driving, where students see its critical role in public mobility and goods movement. The focus is to support students' understanding of smart city operations, route optimisation and last mile goods delivery efficiency by using ERP systems (SAP's Transport Management (TM) software) in a lab environment.

Unit details

Study level:
Postgraduate
Credit points:
12
Unit code:
BMO6004

Learning Outcomes

On successful completion of this unit, students will be able to:
  1. Critically analyse the salient aspects of changing technological environment and its effect on in transport systems and communication mechanism;  
  2. Deconstruct the complex transport systems and develop a route optimisation plan by using Transport Management (TM) software in a computer lab environment;  
  3. Critically analyse and reflect on future transport and infrastructure strategies in a team of culturally diverse communities; and,  
  4. Evaluate the current business practices of Intelligence Transport Systems (ITS) and justify its suitability for all modes of transport and infrastructure.  

Assessment

Assessment type Description Grade
Project ERP systems (SAP-TM) Lab project 30%
Case Study ITS business case (group) 20%
Report Industry research on modes of transport and infrastructure (group report 35% + individual 15%) 50%

Required reading

The Future of Intelligent Transport Systems
Dimitrakopoulos, G., Uden, L., & Varlamis, I. (2020)
Elsevier UK

Where to next?

As part of a course

This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.

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