What drives people to accept automated vehicles? Findings from a field experiment Z Xu, K Zhang, H Min, Z Wang, X Zhao, P Liu Transportation research part C: emerging technologies 95, 320-334, 2018 | 446 | 2018 |
DSRC versus 4G-LTE for connected vehicle applications: A study on field experiments of vehicular communication performance Z Xu, X Li, X Zhao, MH Zhang, Z Wang Journal of advanced transportation 2017, 2017 | 256 | 2017 |
Public acceptance of fully automated driving: Effects of social trust and risk/benefit perceptions P Liu, R Yang, Z Xu Risk Analysis 39 (2), 326-341, 2019 | 253 | 2019 |
Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications X Zhao, P Sun, Z Xu, H Min, H Yu IEEE Sensors Journal 20 (9), 4901-4913, 2020 | 195 | 2020 |
Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors P Liu, Q Guo, F Ren, L Wang, Z Xu Transportation Research Part C: Emerging Technologies 100, 306-317, 2019 | 192 | 2019 |
How safe is safe enough for self‐driving vehicles? P Liu, R Yang, Z Xu Risk analysis 39 (2), 315-325, 2019 | 141 | 2019 |
A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis X Li, A Ghiasi, Z Xu, X Qu Transportation Research Part B: Methodological 118, 429-456, 2018 | 96 | 2018 |
Field experiments on longitudinal characteristics of human driver behavior following an autonomous vehicle X Zhao, Z Wang, Z Xu, Y Wang, X Li, X Qu Transportation research part C: emerging technologies 114, 205-224, 2020 | 94 | 2020 |
Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation P Liu, Z Xu, X Zhao Transportation research part A: policy and practice 124, 354-369, 2019 | 92 | 2019 |
Modeling relationship between truck fuel consumption and driving behavior using data from internet of vehicles Z Xu, T Wei, S Easa, X Zhao, X Qu Computer‐Aided Civil and Infrastructure Engineering 33 (3), 209-219, 2018 | 85 | 2018 |
A 3D LiDAR data-based dedicated road boundary detection algorithm for autonomous vehicles P Sun, X Zhao, Z Xu, R Wang, H Min IEEE Access 7, 29623-29638, 2019 | 72 | 2019 |
V2V‐based method for the detection of road traffic congestion R Wang, Z Xu, X Zhao, J Hu IET Intelligent Transport Systems 13 (5), 880-885, 2019 | 64 | 2019 |
Public attitude toward self-driving vehicles on public roads: Direct experience changed ambivalent people to be more positive P Liu, Z Xu Technological Forecasting and Social Change 151, 119827, 2020 | 61 | 2020 |
Congestion propagation based bottleneck identification in urban road networks C Li, W Yue, G Mao, Z Xu IEEE Transactions on Vehicular Technology 69 (5), 4827-4841, 2020 | 54 | 2020 |
Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework J Li, Z Xu, L Fu, X Zhou, H Yu Transportation Research Part C: Emerging Technologies 124, 102946, 2021 | 51 | 2021 |
Machines versus humans: People’s biased responses to traffic accidents involving self-driving vehicles P Liu, Y Du, Z Xu Accident Analysis & Prevention 125, 232-240, 2019 | 49 | 2019 |
PaTAVTT: A hardware-in-the-loop scaled platform for testing autonomous vehicle trajectory tracking Z Xu, M Wang, F Zhang, S Jin, J Zhang, X Zhao Journal of Advanced Transportation 2017, 2017 | 45 | 2017 |
Modeling and field experiments on autonomous vehicle lane changing with surrounding human‐driven vehicles Z Wang, X Zhao, Z Xu, X Li, X Qu Computer‐Aided Civil and Infrastructure Engineering 36 (7), 877-889, 2021 | 40 | 2021 |
A fault detection and diagnosis system for autonomous vehicles based on hybrid approaches Y Fang, H Min, W Wang, Z Xu, X Zhao IEEE Sensors Journal 20 (16), 9359-9371, 2020 | 39 | 2020 |
Trajectory optimization for a connected automated traffic stream: Comparison between an exact model and fast heuristics Z Xu, Y Wang, G Wang, X Li, RL Bertini, X Qu, X Zhao IEEE Transactions on Intelligent Transportation Systems 22 (5), 2969-2978, 2020 | 38 | 2020 |