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Want to speak? Envisioning driver-to-driver communication for emotion regulation

Haechan Kim, Do-hyeong Kim, Kun-pyo Lee
2019 Zenodo  
We found key findings and insights for enriching driver-to-driver communication for emotion regulation.  ...  The results were categorized into three aspects: driver-to-driver communication as rich communication, social communication and computer-mediated communication.  ...  Investigation of a Driver-to-Driver Communication Method Through Rear Window Display for Chinese.  ... 
doi:10.5281/zenodo.2629345 fatcat:iezanobdtfejljasrsx6vkyrey

How do drivers merge heavy goods vehicles onto freeways? A semi-structured interview unveiling needs for communication and support

Felix A. Dreger, Joost C. F. de Winter, Riender Happee
2019 Cognition, Technology & Work  
We recommend the introduction of driver support and automation systems which facilitate cooperative behaviour and support effective communication.  ...  Freeway merging of heavy goods vehicles (HGV) is a safety-critical manoeuvre.  ...  We would like to thank Max Dreger for his help with recruiting participants.  ... 
doi:10.1007/s10111-019-00601-3 fatcat:ab6jjwnadbbefbsfqncwkt6en4

Takeover Directly or Gradually? Comparison of Single Stage and Dual Stage Human-Machine Interface on Drivers' Visual Behaviors and Subjective Ratings over Cognitive Demand, Motoric Demand, and Time Demand

Weimin Liu, Qingkun Li, Zhenyuan Wang, Wenjun Wang, Chao Zeng, Bo Cheng
2022 2022 4th International Conference on Big Data Engineering  
Hard TOR, however, would be used as a signal for necessary transfer of control authorities.  ...  TOR subsequently to warn drivers of the upcoming takeover event.  ...  simulator and HMI through local area network (Windows Socket Communication).  ... 
doi:10.1145/3538950.3538959 fatcat:jybjx4vwqna2pakirbv3enua64

A Framework for Diagnosing Urban Rail Train Turn-Back Faults Based on Rules and Algorithms

Siqi Ma, Xin Wang, Xiaochen Wang, Hanyu Liu, Runtong Zhang
2021 Applied Sciences  
To address turn-back faults, machines are able to learn the complicated and detailed rules of the train's internal communication codes, and engineers must understand simple external features for quick  ...  Although urban rail transit provides significant daily assistance to users, traffic risk remains. Turn-back faults are a common cause of traffic accidents.  ...  After the rear end outputs the parking brake, the driver inserts the rear-end key and presses the turn-back button.  ... 
doi:10.3390/app11083347 fatcat:fpbp52j2kzf6zducavksvm3hz4

The adaptability and challenges of autonomous vehicles to pedestrians in urban China

Ke Wang, Gang Li, Junlan Chen, Yan Long, Tao Chen, Long Chen, Qin Xia
2020 Accident Analysis and Prevention  
Despite the rapid development of driverless technologies in recent years, there is a lack of researches on the adaptability of AVs to pedestrians.  ...  The conclusions are very useful for motor corporations and driverless car researchers to place more attention on the complexity of the Chinese pedestrian environment, for transportation experts to protect  ...  There is a special need for alternative communication techniques of AVs, which must be able to substitute for the gaze of the driver (Saleh et al., 2017a) .  ... 
doi:10.1016/j.aap.2020.105692 pmid:32717413 fatcat:pndf2dylhbf7ldmlwizkthmuqm

Effectiveness of Flashing Brake and Hazard Systems in Avoiding Rear-End Crashes

Guofa Li, Wenjun Wang, Shengbo Eben Li, Bo Cheng, Paul Green
2014 Advances in Mechanical Engineering  
In Experiment 2, six brake response times to a sudden lead vehicle deceleration (0.6 g at 80 km/h) were measured for six time gaps.  ...  Three experiments were conducted to examine the effectiveness of two forward crash warning systems, a flashing brake system and a flashing hazard system, using an advanced driving simulator.  ...  A rear window notification display changing with acceleration and time headway was evaluated by Saffarian et al. [25] in 2013.  ... 
doi:10.1155/2014/792670 fatcat:xl553cm4uveiriismb2d2epz3q

Developing an Augmented Reality Racing Game

Ohan Oda, Levi J. Lister, Sean White, Steven Feiner
2008 Proceedings of the 2nd International Conference on INtelligent TEchnologies for interactive enterTAINment  
In our game, the driver wears a tracked video see-through head-worn display, and controls the car with a passive tangible controller.  ...  We discuss our AR infrastructure, which supports the creation of AR applications and games in a managed code environment, the user interface we developed for the AR racing game, the game's software and  ...  ACKNOWLEDGMENTS We thank Wei Tang for helping us develop the AR Racing Game; Mike Sorvillo for helping us incorporate ARTag; and Steve Henderson and Anette Kapri for discussion and feedback.  ... 
doi:10.4108/icst.intetain2008.2472 dblp:conf/intetain/OdaLWF08 fatcat:sz5yql2aaffd3mlit3xutecbem

Identifying Potentially Risky Intersections for Heavy-Duty Truck Drivers Based on Individual Driving Styles

Yi Zhu, Yongfeng Ma, Shuyan Chen, Aemal J. Khattak, Qianqian Pang
2022 Applied Sciences  
The results of the study allow us to analyze the driving data of heavy-duty trucks and identify drivers who drive more aggressively during a trip.  ...  Previous studies have mainly focused on passenger drivers; to date, little has been done to assess the driving behavior of heavy truck drivers.  ...  In this paper, we propose a new framework to investigate the driving safety of heavy-duty truck drivers at intersections.  ... 
doi:10.3390/app12094678 fatcat:6zqdlebxgfc4xivskw4bmzaewa

Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice [article]

Amir Rasouli, John K. Tsotsos
2018 arXiv   pre-print
To make it a reality, autonomous vehicles require the ability to communicate with other road users and understand their intentions.  ...  To this end, we will discuss various methods of studying pedestrian behavior, and analyze how the factors identified in the literature are interrelated.  ...  As for the need for communication, the author describes a busy pedestrian crossing where a driver might communicate his intention by moving forward slowly into the crowd.  ... 
arXiv:1805.11773v1 fatcat:27nzpo2u2vdvdeoh44v7urgdd4

Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

Amir Rasouli, John K. Tsotsos
2019 IEEE transactions on intelligent transportation systems (Print)  
To make it a reality, autonomous vehicles require the ability to communicate with other road users and understand their intentions.  ...  To this end, we will discuss various methods of studying pedestrian behavior and analyze how the factors identified in the literature are interrelated.  ...  In [19] , for example, the vehicle uses an LED array at its rear-end to display whether a pedestrian is crossing in front of the car (Fig. 11c) .  ... 
doi:10.1109/tits.2019.2901817 fatcat:anhktkdjx5hnphwvoksfxthdfi

Contingent negative variation during a modified cueing task in simulated driving

Zizheng Guo, Xi Tan, Yufan Pan, Xian Liu, Guozhen Zhao, Lin Wang, Zhen Peng, Feng Chen
2019 PLoS ONE  
The mean amplitude of the late CNV during a modified cueing task in simulated driving was significantly larger than that in a traditional cueing task, which was not the case for the early CNV potentials  ...  The present study aims to investigate the contingent negative variation (CNV) during the anticipation of an obscured pedestrian-motor vehicle crash in simulated driving.  ...  Zizheng Guo visited the Institute of Psychology, Chinese Academy of Sciences, Beijing, China.  ... 
doi:10.1371/journal.pone.0224966 pmid:31710652 pmcid:PMC6844449 fatcat:rnjchxt3azgbncqsczhnl4lwea

A Study on Recent Developments and Issues with Obstacle Detection Systems for Automated Vehicles

Xiaoyan Yu, Marin Marinov
2020 Sustainability  
The concept of autonomous driving is the driver towards future mobility. Obstacle detection systems play a crucial role in implementing and deploying autonomous driving on our roads and city streets.  ...  It is suggested that combining different technologies for obstacle detection gives a more accurate representation of the driving environment.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12083281 doaj:1c633666b19b41408652a1fec4ee9d81 fatcat:tggdfsav2jcylofnoeafoaqave

Differences in Driving Intention Transitions Caused by Driver's Emotion Evolutions

Yaqi Liu, Xiaoyuan Wang
2020 International Journal of Environmental Research and Public Health  
In Study 2, we designed a series of emotion-induction experiments for eight typical driving emotions, and the drivers with induced emotion participated in the driving experiments similar to Study 1.  ...  In Study 1, taking a car-following scene as an example, we designed the driving experiments to obtain the driving data in drivers' natural states, and a driving intention prediction model was constructed  ...  While we investigated eight kinds of driving emotions in this paper, and it seems impossible to find a measurement that effectively works for all of them with the mentioned methods.  ... 
doi:10.3390/ijerph17196962 pmid:32977577 fatcat:2eozbhrbnnditmug3gghvsrdhe

Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom

Sun, Zhang, Cao
2020 International Journal of Environmental Research and Public Health  
Moreover, a classroom environmental data-processing framework for collecting and analyzing learning context, illumination settings, environmental data, and students' performance data was introduced.  ...  Based on existing knowledge about lighting preference, 10 lighting modes confined in the comfortable zone of Kruithof curve were proposed for various classroom scenarios.  ...  We would like to thank Suzhou Shuyan Information Technology Ltd for providing classroom photographs. Special thanks to the reviewers for their helpful and fair comments.  ... 
doi:10.3390/ijerph17041217 pmid:32070046 pmcid:PMC7068364 fatcat:4zckyo53cjg3tnzfn6prbv2bpy

Electroencephalogram-Based Approaches for Driver Drowsiness Detection and Management: A Review

Gang Li, Wan-Young Chung
2022 Sensors  
Drowsiness is not only a core challenge to safe driving in traditional driving conditions but also a serious obstacle for the wide acceptance of added services of self-driving cars (because drowsiness  ...  In view of the importance of detecting drivers' drowsiness, this paper reviews the algorithms of electroencephalogram (EEG)-based drivers' drowsiness detection (DDD).  ...  To address this problem, one needs to adopt not only a shorter data processing time window, but also a smart DM model that ensures timely estimation of drivers' drowsiness.  ... 
doi:10.3390/s22031100 pmid:35161844 pmcid:PMC8840041 fatcat:ld5u3qkenfebjmk3lczhqr7oxe
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