Human Machine Interface
Connected Automated Vehicles promise a range of potential benefits. Realizing these objectives hinges on proper interaction of these vehicles with their drivers as well as other human road users. In S+M.ai we offer strategic, technical & operational guidance on driver behavior under different traffic scenarios, characterize how transportation system reacts to CAVs’ different driving behavior, & equip CAVs with accurate models of human behavior to safely & efficiently navigate in mixed traffic environments.
90%
More than 90% of motor vehicle crashes on US roads in 2019 were tied to human errors.
2030
Human-driven vehicles will still contribute to nearly 50% of the vehicles by 2030.
52%
52% of people believe that automated vehicles still require some level of human control.
Key Areas of HMI Services
In-Vehicle Human
Machine Interaction
Humans should effectively interact with CAVs (machines) in a predictable way. It is important to understand how Human-Related Parameters (such as distractions, impairments, & driving style) & Machine-Related Parameters (such as ADAS & AV disengagement) could potentially impact general driving behavior in transportation networks.
Vehicle & Human-Road-User Interaction
CAVs should effectively interact with nearby human actors, predict their actions, & behave in a socially predictable way. It is important to not only equip CAVs with the required techniques to safely & efficiently operate in mixed traffic environments, but also characterize their potential impact on general behavior of human road users in future transportation systems.
Our Promise
Technology
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Drone
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Virtual Reality
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Driving Simulator / Bike Simulator / Traffic simulation
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In-vehicle Technology (eco-driving)
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Eye-tracing
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Machine Learning / Game Theory
Standards
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ISO-26262
Our Partner
SABA Center at Morgan State University
The Safety and Behavioral Analysis Center (SABA Center) at Morgan State University is an academic applied research lab to support global, national, state, and local efforts to solve traffic safety and mobility problems. The SABA Center accomplishes this mission by studying drivers' behavior through state-of-the-art technology and software.
Our Senior Advisors
Dr. Yalda Rahmati
Yalda is a Data Scientist with a PhD in Transportation Engineering. Her main focus is on developing a collaborative, connected automated driving environment via modeling the interactions among automated vehicles, human-driven vehicles, and non-motorized modes of transportation (particularly, pedestrians and bicyclists).
Dr. Ramin Arvin
Ramin is a Data Scientist with a PhD in Transportation Engineering who has an extensive experience in applying statistical analysis & machine learning methods in real-world applications. He has conducted several projects about Intelligent Transportation System & integration of emerging big data generated by CAVs in transportation analysis.
Dr. Samira Ahangari
Samira is a Transportation Scientist expert in Connected and Automated Vehicles (CAVs). She has conducted several projects in the field of Human Machine Interface, Drivers Behavior and Distracted Driving, and Connected and Automated Vehicles (CAVs). More specifically, her research focus is on investigating the Impact of the Eco-Speed Control System on Driver Behavior and Emissions Reduction.
Nashid Khadem
Nashid is a Transportation Scientist. She is working on different research projects related to transportation engineering, electric vehicles, and autonomous vehicles to ensure a safe and secured transportation sector. Nashid worked as an Environmental Specialist with nearly five years of experience, developing and monitoring environment-related projects.
Md Muhib Kabir
Md Muhib is a Transportation Scientist conducting research at National Transportation Center and Safety and Behavioral Analysis Center. He conducted several projects in shared mobility, transportation equity, accessibility, and safety. He strives to find optimal solution to real-world problems with the help of state of art technologies and knowledge.
HMI Case Studies
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