Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Fred Feng"'
Autor:
Fred Feng, Shan Bao, Judy Jin, Wenbo Sun, Shigenobu Saigusa, Amin Tahmasbi-Sarvestani, Jovin Dsa
Publikováno v:
International Journal of Automotive Engineering, Vol 9, Iss 3, Pp 158-164 (2018)
Distracted driving has become an emerging concern for road safety in the past decade. Efforts have been made to develop in-vehicle active safety systems that could detect driver distraction. However, most methods focused on detecting a distracted dri
Externí odkaz:
https://doaj.org/article/a9cc37ed2bad414d9869d8207c0b9fd1
Autor:
H. Vasanth Munnamgi, Fred Feng
Publikováno v:
Contributions to the 10th International Cycling Safety Conference 2022 (ICSC2022).
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. :036119812211484
The safety of vulnerable road users, including bicyclists, has become an increasing societal concern. Factors characterizing bicyclists’ crashes with motor vehicles may affect bicyclists’ injuries differently depending on the location of these cr
Publikováno v:
Transportation Research Part C: Emerging Technologies. 106:17-28
Connected vehicle technology provides promising opportunities to improve road safety, enhance traffic efficiency, and reduce fuel consumption and emissions. It has been suggested that if drivers comply with suggested recommendations, connected vehicl
Autor:
Wenbo Sun, Shigenobu Saigusa, Shan Bao, Judy Jin, Jovin Dsa, Amin Tahmasbi-Sarvestani, Fred Feng
Publikováno v:
International Journal of Automotive Engineering. 9:158-164
Publikováno v:
International Journal of Human–Computer Interaction. 34:1105-1118
This article investigates the effects of the quantity and size of touch screen buttons and the task-interleaving strategies on drives’ eye glance behavior. An experiment was conducted on a fixed-ba...
Autor:
Jionghua Jin, Fred Feng, Wenbo Sun, Shigenobu Saigusa, Samer Rajab, Shan Bao, Jovin Dsa, Matthew Aguirre
Publikováno v:
Transportation Research Part C: Emerging Technologies. 130:103317
Detecting distracted driving is important for developing Advanced Driver Assistance Systems and improving road safety. Most of the existing research analyzes drivers directly via video analysis techniques or by measuring cognitive load, however these
Publikováno v:
Computers & Industrial Engineering. 109:313-324
This paper describes the development of a computer-aided engineering (CAE) software toolkit for designers of in-vehicle infotainment systems to predict and benchmark the system usability, such as task completion time, eye glance behaviors, and mental
Autor:
Laura Sandt, Pravin Varaiya, Bernard Soriano, Mohammed Yousuf, Sarah Rebolloso McCullough, Fred Feng, Ryan Snyder, Azra Habibovic, Justin M. Owens, Robert Wall Emerson, Tabitha S. Combs
Publikováno v:
Road Vehicle Automation 6 ISBN: 9783030229320
This chapter provides an overview and recap of the AVS 2018 Breakout Session #8, AVs & Vulnerable Road Users: Envisioning a Healthy, Safe, and Equitable Future, including summaries of research presentations, perspectives on equity from leading expert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60fa43d4c3e4f5f9f217cbfb6650e3f2
https://doi.org/10.1007/978-3-030-22933-7_7
https://doi.org/10.1007/978-3-030-22933-7_7
Autor:
Gereon Meyer, Fred Feng
Publikováno v:
Lecture Notes in Mobility ISBN: 9783319948959
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a5dbaa41ccf2fb5bf1d877fc10d5480
https://doi.org/10.1007/978-3-319-94896-6
https://doi.org/10.1007/978-3-319-94896-6