Human vs AV

The degree of cooperation between the driver and the controller is determined by the performance, the driver's condition and the condition of the driving environment (for example, another vehicle around the vehicle in question). In this case, the controller helps the driver to keep the car in the lane.

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External human-machine interfaces: Effects of message perspective

Yke Bauke Eisma • A. Reiff • Lars Kooijman • Dimitra Dodou • Joost de Winter

Apr 1, 2021

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Transportation Research Part F Traffic Psychology and Behaviour

Sharing the road with autonomous vehicles: A qualitative analysis of the perceptions of pedestrians and bicyclists

Md TawhidurRahman • Kakan Dey • Subasish Das • Melissa Sherfinski

Apr 1, 2021

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Transportation Research Part F: Traffic Psychology and Behaviour

Should older people be considered a homogeneous group when interacting with level 3 automated vehicles?

Shuo Li • Phil Blythe • Yanghanzi Zhang • Simon Edwards • Jin Xing • Weihong Guo • Yanjie Ji • Paul Goodman • Anil Namdeo

Apr 1, 2021

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Transportation Research Part F: Traffic Psychology and Behaviour

A structural equation modeling approach for the acceptance of driverless automated shuttles based on constructs from the Unified Theory of Acceptance and Use of Technology and the Diffusion of Innovation Theory

Sina Nordhoff • Victor Fabricius • B. van Arem • Peng Liu • Riender Happee

Apr 1, 2021

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Transportation Research Part F Traffic Psychology and Behaviour

Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles

Iman Mahdinia • Amin Mohammadnazar • Ramin Arvin • Asad J.Khattak

Mar 1, 2021

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Accident Analysis & Prevention

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

Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis

Veljko Dubljević • George F. List • Jovan Milojevich • Nirav Ajmeri • William Bauer • Munindar P. Singh • Eleni Bardaka • Thomas Birkland • Charles Edwards • Roger Mayer • Ioan Muntean • Thomas Powers • Hesham Rakha • Vance Ricks • M. Shoaib Samandar

Feb 4, 2021

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arxiv

Blame Attribution Asymmetry in Human-Automation Cooperation

Peng Liu • Yong Du

Jan 13, 2021

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Risk Analysis

MEDIRL: Predicting the Visual Attention of Drivers via
Maximum Entropy Deep Inverse Reinforcement Learning

Sonia Baee • Erfan Pakdamanian • Inki Kim • Lu Feng • Vicente Ordonez • Laura Barnes

Jan 5, 2021

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arxiv

Formal Analysis of a Neural Network Predictor inShared-Control Autonomous Driving

John M. Grese • Corina Pasareanu • Erfan Pakdamanian

Jan 4, 2021

•

ARC ( Aerospace research central )

A Meta-Analysis of Human Personality and Robot Acceptance in Human-Robot Interaction

Connor Esterwood • Kyle D Essenmacher • Han Yang • Fanpan Zeng

Jan 1, 2021

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SSRN Electronic Journal

Human-machine Engineering for Intelligent Vehicles

Quan Yuan • Wei Hao • Yong Peng • Xiaohua Zhao

Jan 1, 2021

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1stPublisher: Tsinghua University Press

DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

Erfan Pakdamanian• Shili Sheng • Sonia Baee • Seongkook Heo • Sarit Kraus • Lu Feng

Dec 31, 2020

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arxiv

Drivers’ Reaction to Connected and Automated Vehicle Safety Applications in the Vicinity of a Work Zone: A Driving Simulator Study

Nashid K Khadem • Mansoureh Jeihani • Joseph Abujana • Md Muhib Kabir

Dec 23, 2020

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TRB committee ACH30 Standing Committee on Human Factors of Vehicles

Cyclists' Crossing Intentions When Interacting with Automated Vehicles: A Virtual Reality Study

Juan Pablo • Juan Pablo Nuñez Velasco • Anouk De Vries • Haneen Farah • B. van Arem • Marjan P Hagenzieker

Dec 1, 2020

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Information

Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar

Thomas Herrmann • Francesco Passigato • Johannes Betz • Markus Lienkamp

Sep 1, 2020

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2020 IEEE 23rd International Conference on Intelligent Transportation Systems

Driver Behavior at a Freeway Merge to Mixed Traffic of Conventional and Connected Autonomous Vehicles

Sneha Chityala • John Sobanjo • Eren Erman Ozguven • Thobias Sando

Sep 1, 2020

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Transportation Research Record Journal of the Transportation Research Board

Exploring the Effectiveness of External Human-Machine Interfaces on Pedestrians and Drivers

Young Woo Kim • Jae Hyun Han • Yong Gu Ji • Seul Chan Lee

Sep 1, 2020

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12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Benchmarking of a software stack for autonomous racing against a professional human race driver

Leonhard Hermansdorfer • Johannes Betz • Markus Lienkamp

Sep 1, 2020

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2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies

Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data

Erfan Pakdamanian • Nauder Namaky • Shili Sheng • Inki Kim • James Arthur Coan • Lu Feng

Sep 1, 2020

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12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Game Theory-Based Framework for Modeling Human–Vehicle Interactions on the Road

Yalda Rahmati • Alireza Talebpour • Archak Mittal • James Fishelson

Jul 17, 2020

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Transportation Research Record: Journal of the Transportation Research Board

The Persuasive Automobile: Design and Evaluation of a Persuasive Lane-Specific Advice Human Machine Interface

Paul van Gent • Haneen Farah • Nicole van Nes • B. van Arem

Jun 29, 2020

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IEEE Open Journal of Intelligent Transportation Systems

Influence of red-light violation warning systems on driver behavior – a driving simulator study

Snehanshu Banerjee • Mansoureh Jeihani • Nashid K. Khadem • Md. Muhib Kabir

Apr 16, 2020

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Traffic Injury Prevention

Prioritizing Safety or Traffic Flow? Qualitative Study on Highly Automated Vehicles’ Potential to Prevent Pedestrian Crashes with Two Different Ambitions

Roni Utriainen • Markus Pöllänen

Apr 15, 2020

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Sustainability

Analyzing Pedestrian Behavior in Augmented Reality — Proof of Concept

Philipp Maruhn • Andre Dietrich • Lorenz Prasch • Sonja Schneider

Mar 1, 2020

•

2020 IEEE Conference on Virtual Reality and 3D User Interfaces

Customer-Relevant Properties of Autonomous Vehicle Concepts

Ferdinand Schockenhoff • Adrian König • Alexander Koch • Markus Lienkamp

Jan 1, 2020

•

Procedia CIRP

Driver's Interactions with Advanced Vehicles in Various Traffic Mixes and Flows (Connected and Autonomous Vehicles (CAVs), Electric Vehicles (EVs), V2X, Trucks, Bicycles and Pedestrians) - Phase I: Driver Behavior Study and Parameters Estimation

Jeihani, Mansoureh • Banerjee, Snehanshu • Kabir, Md Muhib • Khadem, Nashid

Jan 1, 2020

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Urban Mobility & Equity Center

Pedestrians' road crossing behaviour in front of automated vehicles: Results from a pedestrian simulation experiment using agent-based modelling

Solmaz Razmi Rad • Gonçalo Homem de Almeida Correia • Marjan P Hagenzieker

Jan 1, 2020

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Transportation Research Part F Traffic Psychology and Behaviour

Automated Vehicles in Urban Traffic: The Effect of Kinematics and eHMIs on Pedestrian Crossing Behavior

Andre Dietrich • Michael Tondera • Klaus Bengler

Oct 1, 2019

•

RSS2019 - Road Safety & Simulation 2019

Microscopic Simulation based study of Pedestrian Safety Applications at Signalized Urban Crossings in a Connected-Automated Vehicle Environment and Reinforcement Learning based Optimization of Vehicle Decisions

Fan Zuo • Kaan Ozbay • Abdullah Kurkcu • Jingqin Gao • Hong Yang • Kun Xie

Sep 1, 2019

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Road Safety & Simulation 2019

Influence of Autonomous Vehicles on Car-Following Behavior of Human Drivers

Yalda Rahmati • Mohammadreza Khajeh Hosseini • Alireza Talebpour • Benjamin Swain • Christopher Nelson

Jul 16, 2019

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Transportation Research Record: Journal of the Transportation Research Board

Pedestrians' Crossing Behaviour During Car Deceleration: An Application Towards the Evaluation of eHMI for Avs

Yee Mun Lee • Jim Uttley • Albert S Crusat • Oscar Giles • Richard Romano • Gustav Markkula • Natasha Merat

Jul 1, 2019

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Driving Assessment 2019

Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions

Martin Cunneen • Martin Mullins • Finbarr Murphy

May 13, 2019

•

Applied Artificial Intelligence

On the future of transportation in an era of automated
and autonomous vehicles

P. A. Hancock • Illah Nourbakhsh • Jack Stewartd

Apr 16, 2019

•

Proceedings of the National Academy of Sciences

INVESTIGATING THE EFFECTIVENESS OF AN ECO-SPEED CONTROL SYSTEM IN THE VICINITY OF SIGNALIZED INTERSECTIONS USING A DRIVING SIMULATOR

Samira Ahangari • A. Moghaddam • Mansoureh Jeihani • Celeste Chavis • Hao Chen • Hesham Rakha • Kyungwon Kang

Mar 1, 2019

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Transportation Research Board (TRB)

External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions

Gijsbert Koen de Clercq • Andre Dietrich • Juan Pablo Nuñez Velasco • Joost de Winter • Riender Happee

Mar 1, 2019

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ResearchGate

Cyclists' expectations when encountering automated vehicles: results of an international photo-based questionnaire

Ana Rodríguez Palmeiro • Sander van der Kint • Marjan P Hagenzieker • Ingrid Van Schagen

Oct 1, 2018

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7th International Cycling Safety Conference

Learning-based game theoretical framework for modeling pedestrian motion

Yalda Rahmati • Alireza Talebpour

Sep 28, 2018

•

PHYSICAL REVIEW E

Human Autonomous Vehicles Interactions: An Interdisciplinary Approach

Lionel P. Robert • X. Jessie Yang • Anuj K Pradhan • Dawn Tilbury

Apr 1, 2018

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Workshop on the Interacting with Autonomous Vehicles

The Route Choice Behavior of Connected Pedestrians: A Macroscopic Evaluation of Crowd Dynamics Based on a Game Theoretical Framework

Yalda Rahmati • Alireza Talebpour • Samer H Hamdar

Jan 8, 2018

•

Transportation Research Board (TRB)

Drivers’ Behavior Analysis Under Rainy Weather Conditions Using a Driving Simulator

Samira Ahangari • Mansoureh Jeihani

Jan 1, 2018

•

ResearchGate

Pedestrian simulators for traffic research: State of the art and future of a motion lab

Ilja T. Feldstein • Christian Lehsing • Andre Dietrich • Klaus Bengler

Jan 1, 2018

•

International Journal of Human Factors Modelling and Simulation

The Best Rated Human–Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge

Ola Benderius • Christian Berger • Victor Malmsten Lundgren

Sep 3, 2017

•

IEEE Transactions on Intelligent Transportation Systems

Towards a collaborative connected, automated driving environment: A game theory based decision framework for unprotected left turn maneuvers

Yalda Rahmati • Alireza Talebpour

Jun 1, 2017

•

2017 IEEE Intelligent Vehicles Symposium

Social and behavioural questions associated with automated vehicles: scoping study: final report

Cohen, T • Jones, P • Cavoli, C

Jan 1, 2017

•

Department for Transport

Responsibility and the Moral Phenomenology of Using Self-Driving Cars

Mark Coeckelbergh

Nov 28, 2016

•

Applied Artificial Intelligence

Driver intent inference at urban intersections using the intelligent driver model

Martin Liebner • Michael Baumann • Felix Klanner • Christoph Stiller

Jun 1, 2014

•

2012 IEEE Intelligent Vehicles Symposium

Human vs AV

External human-machine interfaces: Effects of message perspective

Sharing the road with autonomous vehicles: A qualitative analysis of the perceptions of pedestrians and bicyclists

Should older people be considered a homogeneous group when interacting with level 3 automated vehicles?

A structural equation modeling approach for the acceptance of driverless automated shuttles based on constructs from the Unified Theory of Acceptance and Use of Technology and the Diffusion of Innovation Theory

Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles

Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research

Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis

Blame Attribution Asymmetry in Human-Automation Cooperation

MEDIRL: Predicting the Visual Attention of Drivers viaMaximum Entropy Deep Inverse Reinforcement Learning

Formal Analysis of a Neural Network Predictor inShared-Control Autonomous Driving

A Meta-Analysis of Human Personality and Robot Acceptance in Human-Robot Interaction

Human-machine Engineering for Intelligent Vehicles

DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data

Drivers’ Reaction to Connected and Automated Vehicle Safety Applications in the Vicinity of a Work Zone: A Driving Simulator Study

Cyclists' Crossing Intentions When Interacting with Automated Vehicles: A Virtual Reality Study

Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar

Driver Behavior at a Freeway Merge to Mixed Traffic of Conventional and Connected Autonomous Vehicles

Exploring the Effectiveness of External Human-Machine Interfaces on Pedestrians and Drivers

Benchmarking of a software stack for autonomous racing against a professional human race driver

Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data

Game Theory-Based Framework for Modeling Human–Vehicle Interactions on the Road

The Persuasive Automobile: Design and Evaluation of a Persuasive Lane-Specific Advice Human Machine Interface

Influence of red-light violation warning systems on driver behavior – a driving simulator study

Prioritizing Safety or Traffic Flow? Qualitative Study on Highly Automated Vehicles’ Potential to Prevent Pedestrian Crashes with Two Different Ambitions

Analyzing Pedestrian Behavior in Augmented Reality — Proof of Concept

Customer-Relevant Properties of Autonomous Vehicle Concepts

Driver's Interactions with Advanced Vehicles in Various Traffic Mixes and Flows (Connected and Autonomous Vehicles (CAVs), Electric Vehicles (EVs), V2X, Trucks, Bicycles and Pedestrians) - Phase I: Driver Behavior Study and Parameters Estimation

Pedestrians' road crossing behaviour in front of automated vehicles: Results from a pedestrian simulation experiment using agent-based modelling

Automated Vehicles in Urban Traffic: The Effect of Kinematics and eHMIs on Pedestrian Crossing Behavior

Microscopic Simulation based study of Pedestrian Safety Applications at Signalized Urban Crossings in a Connected-Automated Vehicle Environment and Reinforcement Learning based Optimization of Vehicle Decisions

Influence of Autonomous Vehicles on Car-Following Behavior of Human Drivers

Pedestrians' Crossing Behaviour During Car Deceleration: An Application Towards the Evaluation of eHMI for Avs

Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions

On the future of transportation in an era of automatedand autonomous vehicles

INVESTIGATING THE EFFECTIVENESS OF AN ECO-SPEED CONTROL SYSTEM IN THE VICINITY OF SIGNALIZED INTERSECTIONS USING A DRIVING SIMULATOR

External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions

Cyclists' expectations when encountering automated vehicles: results of an international photo-based questionnaire

Learning-based game theoretical framework for modeling pedestrian motion

Human Autonomous Vehicles Interactions: An Interdisciplinary Approach

The Route Choice Behavior of Connected Pedestrians: A Macroscopic Evaluation of Crowd Dynamics Based on a Game Theoretical Framework

Drivers’ Behavior Analysis Under Rainy Weather Conditions Using a Driving Simulator

Pedestrian simulators for traffic research: State of the art and future of a motion lab

The Best Rated Human–Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge

Towards a collaborative connected, automated driving environment: A game theory based decision framework for unprotected left turn maneuvers

Social and behavioural questions associated with automated vehicles: scoping study: final report

Responsibility and the Moral Phenomenology of Using Self-Driving Cars

Driver intent inference at urban intersections using the intelligent driver model

MEDIRL: Predicting the Visual Attention of Drivers via
Maximum Entropy Deep Inverse Reinforcement Learning

On the future of transportation in an era of automated
and autonomous vehicles