香港六合彩

XClose

香港六合彩 Module Catalogue

Home
Menu

Towards Intelligent Mobility (CEGE0124)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Civil, Environmental and Geomatic Engineering
Credit value
15
Restrictions
This module is only available to students on the MSc Transport & Mobility Systems programme CEGE0123 is a co-requisite
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module starts with the history of the development of the technology of Connected and Autonomous Vehicles (CAVs) and provides an overview of CAVs including both road- and non-road-based CAVs (e.g., cars, buses, pods, drones). After providing various examples of CAVs to illustrate their infrastructure requirements as well as operation/decision making process in different scenarios and at different levels of autonomy, this module will look into the potential benefits and drawbacks听of听deployment of CAVs听on听the society听and on the environment beyond the claims of technology developers, the potential barriers to large-scale CAV deployment, and the implications for cybersecurity, ethics, safety and regulations. Furthermore, the decision-making process of humans will be explained and compared to the decision-making process of automated systems in order to understand the requirements for a successful interaction between CAVs , infrastructure and other users. Hence, this module forms the basis for understanding the requirements for CAV development and testing in the context of the society in which they would be deployed.

Learning Outcomes

On successfully completing this module, students will be able to:

  1. Explain and critique the SAE classification for levels of autonomy;
  2. Assess the potential benefits, drawbacks, barriers and implications of CAVs for cybersecurity, ethics, safety and regulations;
  3. Recognise and reflect on the issues with existing human-machine interaction systems;
  4. Develop strategies to apply creative thinking to improve the communications or/and automatic control systems.

Reading List:

  • Market Forecast for Connected and Autonomous Vehicles, Catapult Transport Systems, 2017.
  • R. Hussain and S. Zeadally, "Autonomous Cars: Research Results, Issues, and Future Challenges," in IEEE Communications Surveys & Tutorials, vol. 21, no. 2, pp. 1275-1313, 2018.
  • Vlahogianni, E.I., Karlaftis, M.G. and Golias, J.C., 鈥淪hort-term traffic forecasting: Where we are and where we鈥檙e going鈥, Transportation Research Part C: Emerging Technologies, 43, pp.3-19, 2014.
  • M. Kyriakidis et al. 鈥淎 human factors perspective on automated driving鈥, Theoretical Issues in Ergonomics Science, vol. 20(3), 2019.
  • S. Chung, A. A. Paranjape, P. Dames, S. Shen and V. Kumar, "A Survey on Aerial Swarm Robotics," in IEEE Transactions on Robotics, vol. 34, no. 4, pp. 837-855, 2018.
  • Jeff Funk (2014) 鈥淒rones and their Increasing Number of Applications鈥.
  • House of Lords (2017),鈥淐onnected and Autonomous Vehicles: The future?鈥.
  • TSC (2017),鈥淔uture Proofing Infrastructure for Connected and Automated Vehicles鈥, Technical Report.
  • Greater London Authority (2018), 鈥淢ayor鈥檚 Transport Strategy鈥.
  • London Assembly (2018), 鈥淔uture transport How is London responding to technological innovation?鈥.
  • Andrew Haylen (2019) 鈥淐ivilian drones鈥, House of Commons Library.
  • Government Office of Science (2019) 鈥淎 time of unprecedented change in the transport system鈥.
  • The Future of Mobility (2019), 鈥淎 time of unprecedented change in the transport system鈥

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
20% Viva or oral presentation
80% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
8
Module leader
Dr Bani Anvari
Who to contact for more information
b.anvari@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.