Article
Computer Science, Information Systems
Timotej Gruden, Jaka Sodnik, Grega Jakus
Summary: This paper discusses the concept of take-over in conditionally automated vehicles and proposes two new approaches: partial take-overs and assisted take-overs. The evaluation results show that assisted take-overs significantly improve the effectiveness and efficiency of take-overs, while partial take-overs have a limited effect on effectiveness but reduce reaction time and increase time to lane crossing.
Article
Ergonomics
J. Dillmann, R. J. R. den Hartigh, C. M. Kurpiers, J. Pelzer, F. K. Raisch, R. F. A. Cox, D. de Waard
Summary: The study found that involving drivers in lane changes during conditionally automated rides can improve critical take-over quality and decrease the percentage of gaze off-the-road.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Engineering, Civil
Marcel Mathissen, Nikica Hennes, Fabian Faller, Steffen Leonhardt, Daniel Teichmann
Summary: The study successfully induced stress using the n-back task with high inter-individual variation on a group level. Performing the n-back task simultaneously with a tactile detection response task doubled average response times. Stress-inducing secondary tasks led to sympathetic nervous activation, resulting in increased heart rate, respiration rate, and decreased heart rate variability.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Psychology, Applied
Muhammad Sajjad Ansar, Nael Alsaleh, Bilal Farooq
Summary: Human-vehicle interaction with automated driving features presents challenges for behavioral adaptation. This study explores the factors affecting successful control take over by human drivers in conditionally automated vehicles. Results show that approximately 80% of participants were successful in safely regaining control.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Article
Computer Science, Information Systems
Manzoor Ahmed Khan
Summary: Automated driving has the potential to revolutionize the transportation industry, but faces challenges in complex urban environments. Researchers worldwide are working on various autonomous driving initiatives to tackle the challenges of high-level autonomous driving use cases.
Article
Chemistry, Physical
Longping Chen, Kang Yuan, Shiyang Chen, Yanjun Huang, Hassan Askari, Ninghai Yu, Jingyue Mo, Nan Xu, Mingzhi Wu, Hong Chen, Amir Khajepour, Zhonglin Wang
Summary: This paper presents a novel intelligent steering wheel developed based on the concept of triboelectricity for automated driving. A sandwich-type sensor is integrated into the steering wheel to identify driver's steering intention. The superiority of the triboelectric nanogenerator (TENG)-based sensor is demonstrated and classification models are developed using machine learning techniques. The TENG-based sensor shows faster reaction time for emergency obstacle avoidance compared to regular steering wheel sensors, leading to improved human-machine interaction and more efficient vehicle control.
Article
Computer Science, Cybernetics
Kuan-Ting Chen, Huei-Yen Winnie Chen
Summary: The study found that manipulating background music to convey automation reliability information through blended sonification approach was effective in increasing monitoring behavior and decreasing visual response times in takeover events and scenarios requiring substantial maneuvering. Continuous sonification feedback was more effective than intermittent feedback, possibly due to observed differences in associated glance patterns. The study suggests that blended sonification may be an effective approach in helping drivers stay on the loop during automated driving, with potential for further research on combining automation reliability information and traffic situational information to enhance situation awareness.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2021)
Article
Engineering, Civil
Amolika Sinha, Daniel Bassil, Sai Chand, Navreet Virdi, Vinayak Dixit
Summary: The study investigates the impact of connected automated buses in a mixed fleet with connected automated vehicles on the performance of urban transport systems. Results show that connected automated buses can significantly reduce travel time and standstill times, while also decreasing forced lane changes between vehicles and improving road safety.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation Science & Technology
Ziqing Gu, Yuming Yin, Shengbo Eben Li, Jingliang Duan, Fawang Zhang, Sifa Zheng, Ruigang Yang
Summary: The development of intelligent driving technologies has the potential to impact energy economics. This paper proposes an integrated decision and control framework for economical driving in the multi-lane scenario, based on the actor-critic reinforcement learning method. The simulation results show that the proposed learning-based method outperforms baselines in terms of accumulated performance, energy efficiency, and driving comfort.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Computer Science, Artificial Intelligence
Yubing Gao, Wei Tong, Edmond Q. Q. Wu, Wei Chen, GuangYu Zhu, Fei-Yue Wang
Summary: ChatGPT, an AI chatbot developed by OpenAI, has been creating a buzz on the internet lately, with its potential impact on various industries being widely discussed. Integration of ChatGPT with human-machine interaction systems can be a game changer in the field of smart vehicles. For instance, Jidu Auto, the electric vehicle arm of Baidu, has announced plans to integrate their own ChatGPT-like service, ERNIE Bot, into their cars. While ChatGPT has greatly advanced intelligent interaction, there are still limitations that impede its practical implementation. This article explores the potential applications of ChatGPT in smart vehicles and analyzes the challenges it faces.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2023)
Article
Engineering, Civil
Ke Lu, Johan Karlsson, Anna Sjors Dahlman, Bengt Arne Sjoqvist, Stefan Candefjord
Summary: Driver sleepiness is a well-known risk for traffic safety. With the introduction of automated driving systems, the potential for getting sleepy at the wheel increases. This study found that heart rate variability (HRV) can be an effective tool for detecting sleepiness under automated driving.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Computer Science, Information Systems
Roberto Carlos Ramirez, Nigo Adin, Jon Goya, Unai Alvarado, Alfonso Brazalez, Jaizki Mendizabal
Summary: This paper discusses the first successful deployment of a fully automated commercial freight train operation and compares the differences between driverless urban metros and freight trains. It reviews existing taxonomies and explores the challenges and possibilities in automation for rail freight transport. The objective is to advance the definition of a suitable taxonomy and framework.
Article
Engineering, Civil
Heng Song, Junwu Zhu, Yi Jiang
Summary: Intelligent vehicle driving systems aim to control the driving behavior of a vehicle in real time without human intervention by perceiving and monitoring the surrounding environment. Describing images of traffic scenes automatically, which is one of the key problems of intelligent vehicle driving technology, has achieved good results in recent research.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Psychology, Applied
Emily H. Cooley, David M. Sanbonmatsu, David L. Strayer, Paul H. White, Joel M. Cooper
Summary: Prior studies on automated driving have primarily focused on driver evaluations of advanced driving assistance systems and their understanding of the technology. However, this study conducted an on-road experiment with novice drivers who had no previous experience with automated systems, specifically examining the impact of automation on the driving experience. The results showed that automated driving was associated with a more enjoyable and less stressful driving experience compared to manual driving. Participants reported feeling less anxious and nervous, and were able to relax more during automated driving. Furthermore, their intentions to use and purchase automated systems in the future were significantly influenced by their positive experiences with the technology. These findings suggest that first-time users may readily appreciate partially automated vehicles, indicating potential consumer acceptance with little persuasion required.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Ethics
Nick Reed, Tania Leiman, Paula Palade, Marieke Martens, Leon Kester
Summary: This paper explores the need for connected and automated vehicles (CAVs) to break traffic rules for minimizing road safety risks, proposes using ethical goal functions to optimize driving behaviors of CAVs, and emphasizes the importance of defining these functions by governmental bodies with input from citizens and stakeholders. The ethical goal functions would allow developers to optimize driving behaviors for safety under conditions of uncertainty and differentiate products according to brand values, ultimately enabling the safe and transparent operation of CAVs.
ETHICS AND INFORMATION TECHNOLOGY
(2021)
