Safety & Trust
One of the effective factors to determine the efficiency of electric vehicles is people's trust. There are many ways to gain people's trust in manufacturers and autonomous vehicles. For example, providing a short version of the performance of electric vehicles and making it available to the public or conducting a driving simulator test can increase people's confidence and change their attitude towards this model of vehicle.
Trust-Based Route Planning for Automated Vehicles
Shili Sheng • Erfan Pakdamanian • Kyungtae Han • Ziran Wang • John Lenneman • Lu Feng
May 1, 2021
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ICCPS '21: Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical Systems
Autonomous Driving Ethics: from Trolley Problem to Ethics of Risk
Maximilian Geisslinger • Franziska Poszler • Johannes Betz • Christoph Lütge • Markus Lienkamp
Apr 1, 2021
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Philosophy & Technology
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research
Soheil Sohrabi • Ali Khodadadi • Seyedeh Maryam Mousavi • Bahar Dadashova • Dominique Lord
Mar 1, 2021
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Accident Analysis & Prevention
Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial
Seyedeh Maryam Mousavi • Osama A.Osman • Dominique Lord • Karen K.Dixon • BaharDadashova
Mar 1, 2021
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Accident Analysis & Prevention
Assessing Pavement Friction Need for Safe Integration of Autonomous Vehicles into Current Road System
Guangyuan Zhao • Liyuan Liu • Shuo Li • Susan Tighe
Mar 1, 2021
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Journal of Infrastructure Systems
Drivers and Barriers to Implementation of Connected, Automated, Shared, and Electric Vehicles: An Agenda for Future Research
Amirsaman Mahdavian • Alireza Shojaei • Scott Mccormick • Timothy Papandreou • Naveen Eluru • Amr A. Oloufa
Feb 1, 2021
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IEEE Access
Criticality Analysis for the Verification and Validation of Automated Vehicles
Christian Neurohr • Lukas Westhofen • Martin Butz • Martin Herbert Bollmann • Ulrich Eberle • Roland Galbas
Jan 21, 2021
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IEEE
Decentralized optimal merging control for Connected and Automated Vehicles with safety constraint guarantees
Wei Xiao • Christos G.Cassandras
Jan 1, 2021
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Automatica
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling
Thomas Herrmann • Alexander Wischnewski • Leonhard Hermansdorfer • Johannes Betz • Markus Lienkamp
Dec 1, 2020
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IEEE Transactions on Intelligent Vehicles
CAN DRIVERLESS VEHICLES PROVE THEMSELVES SAFE?
Stilgoe, Jack • Cummings, Missy
Sep 1, 2020
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Issues in Science and Technology
Can Autonomous Vehicles Enhance Traffic Safety at Unsignalized Intersections?
Seyedeh Maryam Mousavi • Dominique Lord • Bahar Dadashova • Seyed Reza Mousavi
Aug 31, 2020
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International Conference on Transportation and Development 2020
New Simulation Tools for Training and Testing Automated Vehicles
Jiaqi Ma • Chris Schwarz • Ziran Wang • Maria Elli • German Ros • Yiheng Feng
Jul 15, 2020
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Automated Vehicles Symposium
Regulations for on-road testing of connected and automated vehicles: Assessing the potential for global safety harmonization
Dasom Lee • David J.Hess
Jun 1, 2020
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Transportation Research Part A: Policy and Practice
A Fault Detection and Diagnosis System for Autonomous Vehicles Based on Hybrid Approaches
Yukun Fang • Haigen Min • Wuqi Wang • Zhigang Xu
Apr 1, 2020
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IEEE Sensors Journal
Exploring the who, what, when, where, and why of automated vehicle disengagements
Alexandra M.Boggs • RaminArvin • Asad J.Khattak
Mar 1, 2020
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Accident Analysis & Prevention
Prediction of Moving Bottleneck for Safety Autonomous Driving
D. Wegerle • B. S. Kerner • M. Schreckenberg • S. L. Klenov
Mar 1, 2020
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2020 Systems of Signals Generating and Processing in the Field of on Board Communications
Assessing the Long- and Mid-Term Effects of Connected and Automated Vehicles on Highways’ Traffic Flow and Capacity
A. Mahdavian • A. Shojaei • A. Oloufa
Nov 4, 2019
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International Conference on Sustainable Infrastructure
A Case Study of Trust on Autonomous Driving
Shili Sheng • Erfan Pakdamanian • Kyungtae Han • BaekGyu Kim • Prashant Tiwari • Inki Kim • Lu Feng
Oct 1, 2019
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2019 IEEE Intelligent Transportation Systems Conference (ITSC)
Exploring the mechanism of crashes with automated vehicles using statistical modeling approaches
Song Wang • Zhixia Li
Mar 28, 2019
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PLOS One
Users’ Understanding of Automated Vehicles and Perception to Improve Traffic Safety — Results from a National Survey
Kim, W • Kelley-Baker, T • Sener, I N • Zmud, J • Graham, M • Kolek, S
Dec 1, 2018
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© 2019 AAA Foundation for Traffic Safety
Review of trajectory optimisation for connected automated vehicles
Yu Wang 1 • Xiaopeng Li 1 • Handong Yao
Oct 30, 2018
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The Institution of Engineering and Technology
A decentralized energy-optimal control framework for connected automated vehicles at signal-free intersections
Andreas A.Malikopoulos • Christos G.Cassandras • Yue J.Zhang
Jul 1, 2018
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Automatica
Safety Impacts of Automated Vehicles in Mixed Traffic
Ramin Arvin • Mohsen Kamrani • Asad J Khattak • Jackeline Rios-Torres
Jan 8, 2018
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TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics
Potential Improvements in Safety and Efficiency with Autonomous Trucking
Brandon Schoettle • Michael Sivak
Dec 1, 2017
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The University of Michigan
Sustainable Worldwide Transportation
Real-Time Motion Planning With Applications to Autonomous Urban Driving
Yoshiaki Kuwata • Justin Teo • Gaston Fiore • Sertac Karaman • Emilio Frazzoli • Jonathan P. How
Jul 28, 2009
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IEEE Transactions on Control Systems Technology