Impacts of Different Driving Automation Levels on Highway Geometric Design from the Perspective of Trucks
暂无分享,去创建一个
Shuyi Wang | Bin Yu | Yang Ma | Jinzhou Liu | Wen Zhou | Shuyi Wang | Bin Yu | Jinzhou Liu | Wen Zhou | Yang Ma
[1] Joost C. F. de Winter,et al. Determinants of take-over time from automated driving: A meta-analysis of 129 studies , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.
[2] David González,et al. A Review of Motion Planning Techniques for Automated Vehicles , 2016, IEEE Transactions on Intelligent Transportation Systems.
[3] Ardalan Vahidi,et al. Energy saving potentials of connected and automated vehicles , 2018, Transportation Research Part C: Emerging Technologies.
[4] Keith J Bucklew. Improving Freight Roadway Transportation with Dedicated Truck Lanes: Opportunities and Issues , 2011 .
[5] John Khoury,et al. An Initial Investigation of the Effects of a Fully Automated Vehicle Fleet on Geometric Design , 2019, Journal of Advanced Transportation.
[6] Soyoung Ahn,et al. Traffic dynamics under speed disturbance in mixed traffic with automated and non-automated vehicles , 2019 .
[7] Klaus Bengler,et al. “Take over!” How long does it take to get the driver back into the loop? , 2013 .
[8] Mark S. Young,et al. Drive-by-wire: The case of driver workload and reclaiming control with adaptive cruise control , 1997 .
[9] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[10] Alexander Lotz,et al. Response times and gaze behavior of truck drivers in time critical conditional automated driving take-overs , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.
[11] Cheng Wang,et al. 3D Highway Curve Reconstruction From Mobile Laser Scanning Point Clouds , 2020, IEEE Transactions on Intelligent Transportation Systems.
[12] Alexandra Neukum,et al. Driving performance at lateral system limits during partially automated driving. , 2017, Accident; analysis and prevention.
[13] George Mason. Situation Awareness, Mental Workload, and Trust in Automation:Viable, Empirically Supported Cognitive Engineering Constructs , 2011 .
[14] Mashrur Chowdhury,et al. A Review of Sensing and Communication, Human Factors, and Controller Aspects for Information-Aware Connected and Automated Vehicles , 2019, IEEE Transactions on Intelligent Transportation Systems.
[15] Francisco Javier Camacho-Torregrosa,et al. Influence of Lane Width on Semi- Autonomous Vehicle Performance , 2020, Transportation Research Record: Journal of the Transportation Research Board.
[16] Kevin Barraclough,et al. I and i , 2001, BMJ : British Medical Journal.
[17] Annika F.L. Larsson,et al. Learning from experience: familiarity with ACC and responding to a cut-in situation in automated driving , 2014 .
[18] Matthias Klumpp,et al. Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction , 2019, Journal of Business Logistics.
[19] Ryo Yanase,et al. Automated driving recognition technologies for adverse weather conditions , 2019 .
[20] Alexander Carballo,et al. A Survey of Autonomous Driving: Common Practices and Emerging Technologies , 2019, IEEE Access.
[21] David Woods,et al. Situation Awareness: A Critical But Ill-Defined Phenomenon , 1991 .
[22] Jing Feng,et al. Age differences in the takeover of vehicle control and engagement in non-driving-related activities in simulated driving with conditional automation. , 2017, Accident; analysis and prevention.
[23] John G Gaspar,et al. Gaze position modulates the effectiveness of forward collision warnings for drowsy drivers. , 2019, Accident; analysis and prevention.
[24] Dario D. Salvucci,et al. Threaded cognition: an integrated theory of concurrent multitasking. , 2008, Psychological review.
[25] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[26] Cristina Olaverri-Monreal,et al. Automated Driving: A Literature Review of the Take over Request in Conditional Automation , 2020, Electronics.
[27] Hossein Noorvand,et al. Autonomous Vehicles , 2017 .
[28] Niklas Strand,et al. Semi-automated versus highly automated driving in critical situations caused by automation failures , 2014 .
[29] Karl H. Johansson,et al. Heavy-Duty Vehicle Platooning for Sustainable Freight Transportation: A Cooperative Method to Enhance Safety and Efficiency , 2015, IEEE Control Systems.
[30] Miss A.O. Penney. (b) , 1974, The New Yale Book of Quotations.
[31] Shinpei Kato,et al. LIBRE: The Multiple 3D LiDAR Dataset , 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).
[32] Pedro J. Navarro,et al. A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research , 2019, Sensors.
[33] Hanna Grzybowska,et al. A safety assessment of mixed fleets with Connected and Autonomous Vehicles using the Surrogate Safety Assessment Module. , 2019, Accident; analysis and prevention.
[34] N A Stanton,et al. What's skill got to do with it? Vehicle automation and driver mental workload , 2007, Ergonomics.
[35] Mokaddesul Hoque,et al. Effect of Highway Lane Management Policy of Heavy Vehicles on the Cost of Flexible Pavement , 2018, Journal of Transportation Engineering, Part A: Systems.
[36] Frederik Naujoks,et al. From partial and high automation to manual driving: Relationship between non-driving related tasks, drowsiness and take-over performance. , 2018, Accident; analysis and prevention.
[37] P. Intini,et al. Rethinking the main road design concepts for future Automated Vehicles Native Roads , 2019 .
[38] C. Wickens,et al. Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs , 2008 .
[39] Natasha Merat,et al. Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions , 2013 .
[40] Nir Menachemi,et al. Associations between driving performance and engaging in secondary tasks: a systematic review. , 2014, American journal of public health.
[41] Homayoun Najjaran,et al. Autonomous vehicle perception: The technology of today and tomorrow , 2018 .
[42] Xiangmo Zhao,et al. Cooperative CAVs optimal trajectory planning for collision avoidance and merging in the weaving section , 2020 .
[43] Natasha Merat,et al. Highly Automated Driving, Secondary Task Performance, and Driver State , 2012, Hum. Factors.
[44] Lei Wei,et al. Trajectory reconstruction for freeway traffic mixed with human-driven vehicles and connected and automated vehicles , 2020 .
[45] Babak Shahian Jahromi,et al. Real-Time Hybrid Multi-Sensor Fusion Framework for Perception in Autonomous Vehicles , 2019, Sensors.
[46] Jack Kelly,et al. Radar Congestion Study , 2018 .
[47] Hans-Martin Kroll,et al. Exploiting Redundancy for Reliability Analysis of Sensor Perception in Automated Driving Vehicles , 2020, IEEE Transactions on Intelligent Transportation Systems.
[48] Alfredo García,et al. Examining the effect of road horizontal alignment on the speed of semi-automated vehicles. , 2020, Accident; analysis and prevention.
[49] James R. Sayer,et al. Heavy-Truck Drivers’ Following Behavior With Intervention of an Integrated, In-Vehicle Crash Warning System , 2012, Hum. Factors.
[50] Kathrin Zeeb,et al. Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving. , 2016, Accident; analysis and prevention.
[51] Xiao-Mei Zhao,et al. Heterogeneous Traffic Mixing Regular and Connected Vehicles: Modeling and Stabilization , 2019, IEEE Transactions on Intelligent Transportation Systems.
[52] H. Oliver Gao,et al. Traffic automation and lane management for communicant, autonomous, and human-driven vehicles , 2020 .
[53] Neville A Stanton,et al. Back to the future: Brake reaction times for manual and automated vehicles , 2007, Ergonomics.
[54] W. Marsden. I and J , 2012 .
[55] Matias Viström,et al. Effects of forward collision warning and repeated event exposure on emergency braking , 2013 .
[56] Guy H. Walker,et al. AUTOMATING THE DRIVER'S CONTROL TASKS , 2001 .
[57] Linda Ng Boyle,et al. The effectiveness of auditory forward collision warning alerts , 2018, Transportation Research Part F: Traffic Psychology and Behaviour.
[58] Kathrin Zeeb,et al. What determines the take-over time? An integrated model approach of driver take-over after automated driving. , 2015, Accident; analysis and prevention.
[59] Tsuyoshi Murata,et al. {m , 1934, ACML.
[60] Joshua E. Domeyer,et al. Designing for the Extremes: Modeling Drivers’ Response Time to Take Back Control From Automation Using Bayesian Quantile Regression , 2019, Hum. Factors.
[61] Manbok Park,et al. High Definition Map-Based Localization Using ADAS Environment Sensors for Application to Automated Driving Vehicles , 2020, Applied Sciences.
[62] Anna Schieben,et al. Highly automated driving , 2012 .
[63] Marc Green,et al. "How Long Does It Take to Stop?" Methodological Analysis of Driver Perception-Brake Times , 2000 .
[64] Francisco J. Martinez-Perez. Impacts of Road-Trains on the Geometric Design of Highways , 2012 .
[65] Zehang Sun,et al. On-road vehicle detection: a review , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[66] Raja Parasuraman,et al. Performance Consequences of Automation-Induced 'Complacency' , 1993 .
[67] Fernando Garcia,et al. A Review of Sensor Technologies for Perception in Automated Driving , 2019, IEEE Intelligent Transportation Systems Magazine.
[68] Heng Wang,et al. Robotics and Autonomous Systems , 2022 .
[69] Neville A. Stanton,et al. Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence , 2014 .
[70] Paul M. Salmon,et al. Missing links? The effects of distraction on driver situation awareness , 2013 .
[71] Mark S. Young,et al. A proposed psychological model of driving automation , 2000 .
[72] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[73] Gustav Markkula,et al. A farewell to brake reaction times? Kinematics-dependent brake response in naturalistic rear-end emergencies. , 2016, Accident; analysis and prevention.