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Miao Song
Miao Song
Human Factors Researcher, Honda Research Institute
Verified email at honda-ri.com
Title
Cited by
Cited by
Year
Slow-time changes in human EMG muscle fatigue states are fully represented in movement kinematics
M Song, DB Segala, JB Dingwell, D Chelidze
332009
Assessing drivers’ tailgating behavior and the effect of advisory signs in mitigating tailgating
JH Wang, M Song
the 6th International Driving Symposium on Human Factors in Driver …, 2011
152011
Studying the tailgating issues and exploring potential treatment
M Song, JH Wang
Journal of the transportation research forum 49 (3), 2010
152010
Is Driving Automation Used as Intended? Real-World Use of Partially Automated Driving Systems and Their Safety Consequences
H Kim, M Song, Z Doerzaph
Transportation Research Board 100th Annual Meeting, 2021
142021
Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data
S Yadawadkar, B Mayer, S Lokegaonkar, MR Islam, M Song, ...
IEEE International Conference on Big Data, 2018
142018
An on-road evaluation of connected motorcycle crash warning interface with different motorcycle types
M Song, S McLaughlin, Z Doerzaph
Transportation Research Part C: Emerging Technologies 74, 34-50, 2017
122017
Assessing and Mitigating the Impacts of Dynamic Message Signs on Highway Traffic
M Song, JH Wang, S Cheung, M Keceli
International Journal for Traffic and Transport Engineering 6 (1), 1-12, 2016
122016
Studying the tailgating issue in Rhode Island and its treatment
M Song, JH Wang
51st Annual Transportation Research Forum, 2010
112010
Real-world use of partially automated driving systems and driver impressions
H Kim, M Song, Z Doerzaph
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1 …, 2020
72020
Studying the vehicle headway issue and its impact on the slow-down effect.
JH Wang, M Song
Rhode Island. Dept. of Transportation, 2009
62009
Probability of Detection of Electric Vehicles With and Without Added Warning Sounds
M Roan, L Neurauter, M Song, M Miller
The Journal of the Acoustical Society of America, 2021
52021
Electric Vehicle Detectability by the Vision Impaired: Quantifying Impact of Vehicle Generated Acoustic Signatures on Minimum Detection Distances
D Neurauter, M.L., Roan, M., Song, M., Harwood, L., Moore, D., and Glaser
The 25th International Technical Conference on the Enhanced Safety of …, 2017
5*2017
Assessing the message design on variable message signs in mitigating bottleneck issue at work zones
J Messina, M Song, JD Ortiz-Varela, JH Wang
Transportation Research Board 91st Annual MeetingTransportation Research Board, 2012
52012
Quiet Car Detectability: Impact of Artificial Noise on Ability of Pedestrians to Safely Detect Approaching Electric Vehicles
L Neurauter, M Roan, M Song, M Miller, E Glenn, J Walters
National Surface Transportation Safety Center for Excellence, 2020
32020
Validations of Integrated DVI Configurations
LT Holmes, M Song, L Neurauter, Z Doerzaph, N Britten
22016
Advanced Messaging Concept Development (AMCD) Project Vehicle-to-Infrastructure Program
L Stowe, M Abubakr, R Adla, M Ali, S Casadei, R Goudy, A Kailas, ...
United States. Department of Transportation. Intelligent Transportation …, 2017
12017
An On-Road Evaluation of Connected Motorcycle Crash Warning Interface
M Song, S McLaughlin, Z Doerzaph
Transportation Research Board 95th Annual Meeting, 2016
12016
Assessing The Slow-Down Effects Caused By Active Dynamic Message Signs And Exploring Means To Ease The Slow-Down
M Song, V Maier-Speredelozzi, JH Wang, S Cheung, MK Akdemir
3rd International Conference on Road Safety and SimulationPurdue …, 2011
12011
Assessing slow-downs caused by dynamic message signs
S Cheung, M Song, JH Wang
IIE Annual Conference. Proceedings, 1021, 2009
12009
May I, please? Examining the Need for Improved Intention Communication on the Road Using Naturalistic Data
EMP Miao Song, Jackie Ayoub, Danyang Tian, Miguel Perez, Julie McClafferty
the 67th Annual Meeting for HFES, 2023
2023
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Articles 1–20