Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving. - Zheng Wang 039; Muhua Guan; Jin Lan; Bo Yang 044; Tsutomu Kaizuka; Junichi Taki; Kimihiko Nakano (CoRR, 2020)

A Classified Driver's Lane-Change Decision- Making Model Based on Fuzzy Inference for Highly Automated Driving. - Muhua Guan; Zheng Wang 039; Bo Yang 044; Kimihiko Nakano (ICHMS, 2021)

The Impact of System Transparency on Passenger's Quality of Experience in Highly Automated Driving. - Chenchang Li; Zheng Wang 039; Bo Yang 044; Muhua Guan; Chao Huang 013; Kimihiko Nakano (IV, 2023)

Driving Simulator Study to Explore the Situational Acceptance and the Objective Indication Under Automated Driving. - Chenchang Li; Bo Yang 044; Muhua Guan; Kimihiko Nakano (ITSC, 2024)

A Driving Simulator Investigation on the Aggressiveness of an Automatic Lane-Change System. - Muhua Guan; Zheng Wang 039; Bo Yang 044; Chenchang Li; Kimihiko Nakano (IEEE Access, 2025)

An Experimental Study on Drivers' Eye Movement Behavior When Using an Automated Lane Change System. - Muhua Guan; Bo Yang 044; Zheng Wang 039; Chenchang Li; Kimihiko Nakano (IEEE Trans. Intell. Transp. Syst., 2025)