Items where Author is "Li, Shuo"

Article

Li, Shuo, Blythe, Phil, Zhang, Yanghanzi, Edwards, Simon, Guo, Weihong, Ji, Yanjie, Goodman, Paul, Hill, Graeme and Namdeo, Anil (2022) Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles. Scientific Reports, 12 (1). p. 11645. ISSN 2045-2322

Li, Shuo, Blythe, Phil, Zhang, Yanghanzi, Edwards, Simon, Xing, Jin, Guo, Weihong, Ji, Yanjie, Goodman, Paul and Namdeo, Anil (2021) Should older people be considered a homogeneous group when interacting with level 3 automated vehicles? Transportation Research Part F: Traffic Psychology and Behaviour, 78. pp. 446-465. ISSN 1369-8478

Zhang, Yanghanzi, Caldwell, Gary S., Blythe, Philip T., Zealand, Andrew M., Li, Shuo, Edwards, Simon, Xing, Jin, Goodman, Paul, Whitworth, Paul and Sallis, Paul J. (2020) Co-digestion of microalgae with potato processing waste and glycerol: effect of glycerol addition on methane production and the microbial community. RSC Advances, 10 (61). pp. 37391-37408. ISSN 2046-2069

Li, Shuo, Blythe, Phil, Guo, Weihong, Namdeo, Anil, Edwards, Simon, Goodman, Paul and Hill, Graeme (2019) 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, 67. pp. 78-100. ISSN 1369-8478

Li, Shuo, Blythe, Phil, Guo, Weihong and Namdeo, Anil (2019) Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles. Transportation Planning and Technology, 42 (5). pp. 470-497. ISSN 0308-1060

Li, Shuo, Blythe, Phil, Guo, Weihong and Namdeo, Anil (2019) Investigation of older drivers’ requirements of the human-machine interaction in highly automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 62. pp. 546-563. ISSN 1369-8478

Li, Shuo, Blythe, Phil, Guo, Weihong and Namdeo, Anil (2018) Investigation of older driver's takeover performance in highly automated vehicles in adverse weather conditions. IET Intelligent Transport Systems, 12 (9). pp. 1157-1165. ISSN 1751-956X