| Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions S Li, P Blythe, W Guo, A Namdeo IET Intelligent Transport Systems 12 (9), 1157-1165, 2018 | 83 | 2018 |
| Investigation of older drivers’ requirements of the human-machine interaction in highly automated vehicles S Li, P Blythe, W Guo, A Namdeo Transportation research part F: traffic psychology and behaviour 62, 546-563, 2019 | 60 | 2019 |
| Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles S Li, P Blythe, W Guo, A Namdeo Transportation planning and technology 42 (5), 470-497, 2019 | 55 | 2019 |
| Evaluation of the effects of age-friendly human-machine interfaces on the driver’s takeover performance in highly automated vehicles S Li, P Blythe, W Guo, A Namdeo, S Edwards, P Goodman, G Hill Transportation research part F: traffic psychology and behaviour 67, 78-100, 2019 | 45 | 2019 |
| Should older people be considered a homogeneous group when interacting with level 3 automated vehicles? S Li, P Blythe, Y Zhang, S Edwards, J Xing, W Guo, Y Ji, P Goodman, ... Transportation research part F: traffic psychology and behaviour 78, 446-465, 2021 | 20 | 2021 |
| Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations S Liu, F Zhang, Y Ji, X Ma, Y Liu, S Li, X Zhou Journal of Cleaner Production 398, 136602, 2023 | 16 | 2023 |
| Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles S Li, P Blythe, Y Zhang, S Edwards, W Guo, Y Ji, P Goodman, G Hill, ... Scientific Reports 12 (1), 11645, 2022 | 15 | 2022 |
| Qualitative examination of cooperative-intelligent transportation systems in cities to facilitate large-scale future deployment S Li, S Edwards, MO Isik, Y Zhang, PT Blythe Sensors 22 (21), 8423, 2022 | 8 | 2022 |
| Attention pedestrians ahead: Evaluating user acceptance and perceptions of a cooperative intelligent transportation system-warning system for pedestrians Y Zhang, S Li, P Blythe, S Edwards, W Guo, Y Ji, J Xing, P Goodman, ... Sustainability 14 (5), 2787, 2022 | 8 | 2022 |
| Self-reported anger among ordinary and delivery electric bike riders in China: a comparison based on the cycling anger scale F Zhang, Y Ji, H Lv, P Blythe, S Li, DI Samal Transportation research part F: traffic psychology and behaviour 89, 155-167, 2022 | 7 | 2022 |
| Co-digestion of microalgae with potato processing waste and glycerol: effect of glycerol addition on methane production and the microbial community Y Zhang, GS Caldwell, PT Blythe, AM Zealand, S Li, S Edwards, J Xing, ... RSC advances 10 (61), 37391-37408, 2020 | 7 | 2020 |
| Investigation of the influence of multitasking on drivers’ takeover performance in highly automated vehicles S Li, P Blythe, S Edwards, P Goodman, G Hill The 26th ITS World Congress Singapore, 2019 | 7 | 2019 |
| 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 … S Li, Y Zhang, S Edwards, PT Blythe Sensors 23 (2), 820, 2023 | 6 | 2023 |
| Exploring the role of human-following robots in supporting the mobility and wellbeing of older people S Li, K Milligan, P Blythe, Y Zhang, S Edwards, N Palmarini, L Corner, Y Ji, ... Scientific Reports 13 (1), 6512, 2023 | 5 | 2023 |
| Investigating older drivers' takeover performance and requirements to facilitate safe and comfortable human-machine interactions in highly automated vehicles S Li Newcastle University, 2019 | 3 | 2019 |
| Modelling autonomous vehicle parking: An agent‐based simulation approach W Li, Y Jia, Y Ji, P Blythe, S Li IET Intelligent Transport Systems, 2024 | | 2024 |
| Remote driving as the Failsafe: Qualitative investigation of Users’ perceptions and requirements towards the 5G-enabled Level 4 automated vehicles S Li, Y Zhang, P Blythe, S Edwards, Y Ji Transportation research part F: traffic psychology and behaviour 100, 211-230, 2024 | | 2024 |
| A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery J Xing, R Luo, L Chen, J Wang, X Cai, S Li, P Blythe, Y Zhang, S Edwards Synthetic Aperture Radar (SAR) Data Applications, 91-111, 2023 | | 2023 |
Phil BlytheProfessor of Intelligent Transport Systems & former Chief Scientific Adviser DfT, CBE, FREng, CEngVerified email at newcastle.ac.uk
