01.107 Urban Transportation
This course provides students with an understanding of current challenges and opportunities in land transportation. It introduces road vehicle propulsion technologies and transportation systems modelling, including the tools and methods to assess technologies and system performance. Topics include conventional and alternative vehicle powertrains, intelligent transportation systems (ITS), transportation network modelling, traffic simulation, and travel demand modelling. Students will complete a project on a subject of their choosing.
Learning objectives
At the end of the term, students will be able to:
- Explain the system-level transportation challenges and how these might be overcome in the future.
- Conduct a thorough transportation planning for both brownfield and greenfield from scratch, including data collections, surveys, trip demand estimations and distributions, modal split, and various principles of traffic assignments.
- Understand and model liner ship fleet planning problems. Identify and address the pain points of the liner shipping operations.
Measurable outcomes
- Systematically apply the four-step transportation planning model—trip generation, trip distribution, mode choice, and route assignment—to forecast travel demand and assess transportation system performance.
- Apply advanced optimization techniques, such as machine learning algorithms, heuristics, and mathematical programming to enhance the accuracy and efficiency of travel demand forecasting and network flow optimisation.
- Understand liner service in maritime transportation and be able to design a proper liner service under different demand assumptions.
Prerequisites
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Number of credits: 12