Professor Phil Blythe
Dr Shuo Li
| Modelling autonomous vehicle parking: An agent-based simulation approach | 2024 |
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Dr Shuo Li
Dr Yanghanzi Zhang
Simon Edwards
| Quantifying the Remote Driver's Interaction with 5G-Enabled Level 4 Automated Vehicles: A Real-World Study | 2024 |
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Dr Shuo Li
Dr Yanghanzi Zhang
Simon Edwards
| Remote driving as the Failsafe: Qualitative investigation of Users’ perceptions and requirements towards the 5G-enabled Level 4 automated vehicles | 2024 |
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Dr Jin Xing
Dr Shuo Li
Professor Phil Blythe
Dr Yanghanzi Zhang
Simon Edwards
et al. | A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery | 2023 |
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Dr Shuo Li
Dr Yanghanzi Zhang
Simon Edwards
Professor Phil Blythe
| 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 | 2023 |
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Dr Shuo Li
Kirsty Milligan
Professor Phil Blythe
Dr Yanghanzi Zhang
Simon Edwards
et al. | Exploring the role of human-following robots in supporting the mobility and wellbeing of older people | 2023 |
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Dr Shuo Li
| Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations | 2023 |
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Dr Shuo Li
Professor Phil Blythe
Dr Yanghanzi Zhang
Simon Edwards
Dr Amy Guo
et al. | Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles | 2022 |
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Dr Yanghanzi Zhang
Dr Shuo Li
Professor Phil Blythe
Simon Edwards
Dr Amy Guo
et al. | Attention Pedestrians Ahead: Evaluating User Acceptance and Perceptions of a Cooperative Intelligent Transportation System-Warning System for Pedestrians | 2022 |
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Dr Shuo Li
Simon Edwards
Dr Yanghanzi Zhang
Professor Phil Blythe
| Qualitative Examination of Cooperative-Intelligent Transportation Systems in Cities to Facilitate Large-Scale Future Deployment | 2022 |
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Professor Phil Blythe
Dr Shuo Li
| Self-reported anger among ordinary and delivery electric bike riders in China: A comparison based on the cycling anger scale | 2022 |
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Dr Shuo Li
Professor Phil Blythe
Dr Yanghanzi Zhang
Simon Edwards
Dr Jin Xing
et al. | Should older people be considered a homogeneous group when interacting with level 3 automated vehicles? | 2021 |
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Dr Yanghanzi Zhang
Dr Gary Caldwell
Professor Phil Blythe
Dr Andrew Zealand
Dr Shuo Li
et al. | Co-digestion of microalgae with potato processing waste and glycerol: Effect of glycerol addition on methane production and the microbial community | 2020 |
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Dr Shuo Li
Professor Phil Blythe
Dr Anil Namdeo
Simon Edwards
Dr Paul Goodman
et al. | Evaluation of the effects of age-friendly human-machine interfaces on the driver’s takeover performance in highly automated vehicles | 2019 |
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Dr Shuo Li
Professor Phil Blythe
Dr Anil Namdeo
| Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles | 2019 |
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Dr Shuo Li
Professor Phil Blythe
Dr Anil Namdeo
| Investigation of older drivers' requirements of the human-machine interaction in highly automated vehicles | 2019 |
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Dr Shuo Li
Professor Phil Blythe
Simon Edwards
Dr Paul Goodman
Dr Graeme Hill
et al. | Investigation of the influence of multitasking on drivers’ takeover performance in highly automated vehicles | 2019 |
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Dr Shuo Li
Professor Phil Blythe
Dr Amy Guo
Dr Anil Namdeo
| Investigation of older driver’s takeover performance in highly automated vehicles in adverse weather conditions | 2018 |
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