Automated Vehicles
The S+M.ai Automated Vehicle team has been established to provide guidance on how to employ AV technologies in light of scientific principles & international standards. Our approach is unique in that it is composed of methods & techniques grounded in automated-driving technologies, operations research, econometrics, & statistics to increase accuracy & robustness. We advance the insights on automated-driving impacts to transform mobility industries, cities & environment on a global scale.
70%
70% of the taxi market will be addressable solely with L4 autonomous technology by 2030.
$202B
A 90% CAV market penetration rate could yield annual financial gains of approximately $202 billion in the United States.
217'000
A 90% CAV market penetration rate could decrease annual crashes by 4.22 million and save 217,00 lives through reducing/eliminating human error.
Key Areas of Our
Automated Vehicles Services
Automated Vehicles
Business Model Development
Our team helps you develop a framework of strategies to start your AV business by generating organizational, financial, & marketing plans by studying the foundations of the company, the industry & market(s) in which it operates, generates revenues in addition to granular view of mobility & automotive-related value & profit pools.
Automated Vehicles
Strategic Planning
Our team helps organizations identify strengths, weaknesses, opportunities, and threats related to their business competition by assessing the current environment of an AV business, both internally and externally, developing a business framework to improve the clients’ business processes, streamline their operations, and focus their efforts on transitioning into a new direction bringing positive and long-lasting results.
Automated Vehicles
& Traffic Network
Transportation infrastructure is quickly moving towards revolutionary changes to accommodate the deployment of AVs. AVs are believed to have great potential to improve the traffic capacity and efficiency of the current transport systems. It is, therefore, of paramount importance to consider the traffic level of service, crash and safety and route choice with a mixture of AVs and human-driven vehicles.
Automated Vehicles’ In-Vehicle Functions
Developing and testing Partially Automated In-Vehicle Safety Features to sense the vehicle’s surroundings to assist a vehicle’s operator. Our team helps you develop and assess pedestrian warning systems, red-light warning systems, incident warning systems, lane detection models for automated vehicles & utilize encrypted security patches to help ADS authenticate traffic sign information.
Our Promise
Technology
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Drone
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Virtual Reality
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Driving Simulator
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Bike Simulator
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Traffic simulation Software: PTV-VISSIM | Aimsun
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Eco-driving In-vehicle Technology
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Eye Tracking Devices
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Machine Learning / Computer Vision
Standards
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Society of Automotive Engineers (SAE J2945/1, SAE J1938, SAE J1938, SAE J1879)
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IEEE 802.11ac
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National Highway Traffic Safety Administration (NHTSA)
Our Senior Advisors
Dr. Soheil Sohrabi
Soheil is a Transportation Scientist who has an extensive experience in safety, sustainability, health, and equity implications of Next-Generation Transportation Systems' technologies from the planner & policymaker perspective. He has conducted several projects with the overarching goal of having a safe and sustainable transportation system that can promote public health & social equity.
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.
Dr. Sam Mahdavian
Sam is a Data Scientist with a PhD in Transportation Engineering who has extensive experience in applying Machine learning, advanced statistical analysis, Business Analysis, & Project Management tools to create Smart & Scalable Solutions for real-world applications. He has conducted several projects in ITS, Traffic Network & Freight Mobility, and CAVs.
Dr. Burak Sen
Burak is an Industrial Ecologist & Sustainability Scientist who has been striving to contribute to the efforts made to transform the transportation system to be safer and more sustainable. He has conducted several projects about electric vehicles, sustainability, material-energy transportation, battery, system dynamics, and agent-based modeling.
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.
AVs Case Studies
Unlock your potential with S+M's Professional Services.
S+M offers solutions backed by years of experience with automotive technologies and robust software engineering services to help mobility companies and federal authorities get in the fast lane to the future of mobility. Our consulting services aim to keep your business on top of the ever-changing global market and in line with the latest technology trends.
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