Staff Profile
Dr Shuo Li
Senior Research Associate of Intelligent Transport Systems
- Address: School of Engineering
Room 4.18
Stephenson Building
Newcastle University
Newcastle upon Tyne
NE1 7RU
UK
Background
I am an active and enthusiastic researcher with experience in conducting cutting-edge research in Intelligent Transport Systems (ITS). My research interests cover a wide range of ITS topics including Connected and Automated vehicles (CAVs), Cooperative Intelligent Transport Systems (C-ITS), Advanced Driver-Assistance Systems (ADASs), Human factors in ITS, Human-machine Interactions in ITS, Older drivers and ITS, Elector mobility (e-mobility) and Mobility as a Service (Maas). For the past few years, I have been conducting research for my PhD about investigating older drivers' interaction and requirements of highly automated vehicles. I have developed enhanced quantitative and qualitative research skills and have the ability to work both independently and in teams.
ResearchGate: https://www.researchgate.net/profile/Shuo_Li9
Google Scholar: https://scholar.google.com/citations?user=oK2GHGQAAAAJ&hl=en
My research about Remote driving of automated vehicles.
Newcastle University Press Office: Study explores how we interact with remote drivers: https://www.ncl.ac.uk/press/articles/latest/2024/01/remotedrivers/
My research about gender and automated vehicles has been widely covered in the national and international media.
The Telegraph: https://www.telegraph.co.uk/news/2022/07/30/driverless-cars-may-need-gender-settings-women-better-using/
INDEPENDENT: https://www.independent.co.uk/news/uk/home-news/driverless-cars-men-women-b2134985.html
The Sydney Morning Herald: https://amp.smh.com.au/world/europe/women-better-in-driverless-cars-than-men-20220731-p5b5zv.html
Newcastle University Press Office: https://www.ncl.ac.uk/press/articles/latest/2022/08/driverlesscars/
My research about older drivers and automated vehicles has been widely covered in regional, national and international media. Here are some of the links to follow the coverage:
Interview by Angela Rippon CBE: https://www.youtube.com/watch?v=IQpB-2D9ZYw&t=372s
ITV News: https://www.facebook.com/itvtynetees/videos/420001838603379/
Newcastle University Press Office: https://www.ncl.ac.uk/press/articles/latest/2019/07/drivelab
WIRED Magazine: https://www.wired.com/story/stop-saying-driverless-cars-will-help-old-people/#
The Robot Report: https://www.therobotreport.com/older-drivers-slow-take-control-self-driving-cars/
MarketWatch: https://www.marketwatch.com/story/why-older-drivers-might-have-trouble-with-self-driving-cars-2019-07-05
Science Times: https://www.sciencetimes.com/articles/23185/20190706/are-self-driving-cars-potential-game-changer-for-older-drivers.htm
Qualifications
2015-2019 PhD in ITS, School of Engineering, Newcastle University
2011-2013 MSc Transportation Engineering and Operations, Newcastle University
Previous Positions
2013-2014 Research Assistant, Institute of Transport Engineering, Tsinghua University
Honours and Awards
Part of a ‘Specialist Group’ for the Department for Transport (DfT) Connected and Automated Vehicle (CAV) Public Dialogue project
https://www.gov.uk/government/publications/public-attitudes-towards-self-driving-vehicles
Part of stakeholders for the DfT Public Dialogues on Future Road Technologies project
https://www.gov.uk/government/publications/future-roads-public-dialogue
Awarded the best poster under the theme of ‘Transport’ at the Postgraduate Research Conference, Newcastle University, Newcastle, July 2016
Awarded the best presentation under the theme of ‘Data for Citizens/Transport’ at the Postgraduate Research Conference, Newcastle University, Newcastle, July 2017.
Awarded the Smeed prize for the best paper runner up at 50th UTSG Conference, UCL, London, January 2018.
http://utsg.net/2018-smeed-prize-winners
Awarded the best essay in ITS(UK) Summit 2019, Coventry, October 2019.
http://www.itssummit.co.uk/media/1551/its19-delegate-brochure-lr-111019.pdf
Summary of Core Research Interests
- Connected and automated vehicles (CAVs)
- Advanced driver-assistance systems (ADASs)
- Driving behaviour and psychology
- Human-machine interactions in ITS
- Older drivers and ITS
- Human factors in ITS
- Electro mobility (e-mobility)
- Mobility as a Service (Maas)
https://www.youtube.com/watch?v=IQpB-2D9ZYw&t=372s
https://www.ncl.ac.uk/press/articles/latest/2019/07/drivelab/
Research Projects
C-MOBILE-Cooperative systems project
Department for Transport (DfT) Connected and Automated Vehicle (CAV) Public Dialogue project
DfT Public Dialogues on Future Road Technologies project
Transport Systems Catapult Older Travellers and Technology Engagement (OTTE) project
Postgraduate Teaching
- MSc dissertation supervision. Teaching and supervising MSc students utilising the driving simulator, designing experiments and survey questionnaires, data collection and analysis.
- Postgraduate teaching. Delivering the practical element using the driving simulator for MSc ITS modules CEG8422 and CEG8415, Newcastle University.
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Articles
- Li S, Zhang Y, Blyth P, Edwards S, Ji Y. Remote driving as the Failsafe: Qualitative investigation of Users’ perceptions and requirements towards the 5G-enabled Level 4 automated vehicles. Transportation Research Part F Traffic Psychology and Behaviour 2024, 100, 211-230.
- Li W, Jia Y, Ji Y, Blythe P, Li S. Modelling autonomous vehicle parking: An agent-based simulation approach. IET Intelligent Transport Systems 2024, epub ahead of print.
- Liu S, Zhang F, Ji Y, Ma X, Liu Y, Li S, Zhou X. Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations. Journal of Cleaner Production 2023, 398, 136602.
- Li S, Milligan K, Blythe P, Zhang Y, Edwards S, Palmarini N, Corner L, Ji Y, Zhang F, Namdeo A. Exploring the role of human-following robots in supporting the mobility and wellbeing of older people. Scientific Reports 2023, 13, 6512.
- Li S, Zhang Y, Edwards S, Blythe P. Exploration into the Needs and Requirements of the Remote Driver When Teleoperating the 5G‐Enabled Level 4 Automated Vehicle in the Real World—A Case Study of 5G Connected and Automated Logistics. Sensors 2023, 23(2), 820.
- Zhang F, Ji Y, Lv H, Blythe P, Li S, Samal D. Self-reported anger among ordinary and delivery electric bike riders in China: A comparison based on the cycling anger scale. Transportation Research Part F: Traffic Psychology and Behaviour 2022, 89, 155-167.
- Li S, Edwards S, Isik M, Zhang Y, Blythe P. Qualitative Examination of Cooperative-Intelligent Transportation Systems in Cities to Facilitate Large-Scale Future Deployment. Sensors 2022, 22(21), 8423.
- Zhang Y, Li S, Blythe P, Edwards S, Guo W, Ji Y, Xing J, Goodman P, Hill G. Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians. Sustainability 2022, 14(5), 2787.
- Li S, Blythe P, Zhang Y, Edwards S, Guo W, Ji Y, Goodman P, Hill G, Namdeo A. Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles. Scientific Reports 2022, 12, 11645.
- Li S, Blythe P, Zhang Y, Edwards S, Xing J, Guo W, Ji Y, Goodman P, Namdeo A. Should older people be considered a homogeneous group when interacting with level 3 automated vehicles?. Transportation Research Part F: Traffic Psychology and Behaviour 2021, 78, 446-465.
- Zhang Y, Caldwell GS, Blythe PT, Zealand AM, Li S, Edwards S, Xing J, Goodman P, Whitworth P, Sallis PJ. Co-digestion of microalgae with potato processing waste and glycerol: Effect of glycerol addition on methane production and the microbial community. RSC Advances 2020, 10(61), 37391-37408.
- Li S, Blythe P, Guo W, Namdeo A. Investigation of older drivers' requirements of the human-machine interaction in highly automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour 2019, 62, 546-563.
- Li S, Blythe P, Guo W, Namdeo A. Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles. Transportation Planning and Technology 2019, 42(5), 470-497.
- Li S, Blythe P, Guo W, Namdeo A, Edwards S, Goodman P, Hill H. Evaluation of the effects of age-friendly human-machine interfaces on the driver’s takeover performance in highly automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour 2019, 67, 78-100.
- Li S, Blythe P, Guo W, Namdeo A. Investigation of older driver’s takeover performance in highly automated vehicles in adverse weather conditions. IET Intelligent Transport Systems 2018, 12(9), 1157-1165.
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Book Chapter
- Xing J, Luo R, Chen L, Wang J, Cai X, Li S, Blythe P, Zhang Y, Edwards S. A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery. In: Rysz M; Tsokas A; Dipple KM; Fair KL; Pardalos PM, ed. Synthetic Aperture Radar (SAR) Data Applications. Cham: Springer, 2023, pp.91-111.
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Conference Proceedings (inc. Abstract)
- Li S, Blythe P, Edwards S, Goodman P, Hill G. Investigation of the influence of multitasking on drivers’ takeover performance in highly automated vehicles. In: 26th Intelligent Transport Systems World Congress. 2019, Singapore: ITS World Congress.