Toyota’s Collaborative Safety Research Center embarks on a $35 million program facilitating a safe transition to autonomous and connected vehicle technologies.
by Staff
June 1, 2017
Since its launch in 2011, CSRC has collaborated with leading North American universities, hospitals and research institutions on projects aimed at reducing traffic casualties. Photo courtesy of Toyota.
3 min to read
Since its launch in 2011, CSRC has collaborated with leading North American universities, hospitals and research institutions on projects aimed at reducing traffic casualties. Photo courtesy of Toyota.
Toyota’s Collaborative Safety Research Center (CSRC) has launched the next phase of its research mission, which will focus on autonomous and connected vehicle technologies over the next decade, Toyota said.
This new phase, dubbed CSRC Next, will direct $35 million toward future mobility research through 2021. Projects will follow four research tracks:
Ad Loading...
The potential integration of active and passive safety systems, using advanced pre-crash sensors to improve and personalize crash protection
Building advanced-technology models for vehicle user experience to improve usability and strengthen the driver-vehicle relationship
Studying driver state detection, working to improve mobility using metrics for physiology and health
Applying big data and safety analytics techniques to develop algorithms and tools to study naturalistic driving data.
“The launch of CSRC Next reflects Toyota’s understanding of the importance of human interaction with emerging and advanced vehicle technologies,” said Chuck Gulash, director of CSRC. “These highly advanced systems are radically reshaping the transportation landscape, building a relationship between drivers, occupants and vehicles as teammates working together safely and conveniently.”
At launch, CSRC Next’s research portfolio includes eight projects in partnership with six schools. Examples include work with the Massachusetts Institute of Technology (MIT) AgeLab to develop new systems for autonomous vehicles to perceive and identify objects in their environment and to understand social interactions in traffic. Also included is a research study with Virginia Tech to identify issues that may arise after integrated safety systems are deployed in the future.
Michigan-based CSRC is also working with the Toyota Research Institute (TRI) and Toyota Connected (TC). CSRC research is helping to accelerate autonomous driving technology development and explore the complex relationship between future mobility and broader social trends.
The beginning of CSRC Next also marks the conclusion of the center’s first five years of automotive safety research. Since its launch in 2011, CSRC has collaborated with leading North American universities, hospitals and research institutions on projects aimed at reducing traffic casualties.
Ad Loading...
One of the key beneficiaries of CSRC research has been emergency medicine. A project with the University of Michigan studied a computational technique for detection and prediction of severe cardiac events inside a vehicle. As part of CSRC Next, the data collected from in-hospital and in-vehicle subjects will be trained with machine learning models to detect and predict the in-vehicle occurrence of heart attacks.
Another study, in collaboration with the University of Nebraska Medical Center, deployed real-time glucose monitoring systems in drivers with insulin-dependent diabetes. The project’s goal was to investigate the feasibility of combining physiologic and driving sensor data to determine the levels and patterns of glucose control that might produce changes in driver behavior and safety in individuals with diabetes.
Other key projects in the CSRC’s first five years included programs to develop test platforms for collision avoidance systems. Among these efforts was a project with Indiana University –Purdue University at Indianapolis (IUPUI) and The Ohio State University that created advanced test targets for pedestrian pre-collision systems. Another project, in collaboration with MIT, modeled in-vehicle voice command systems and driver behavior.
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
As litigation risk rises, vehicles are increasingly targeted. This Coca-Cola bottler shares how it’s reducing exposure through driver training, technology, and a proactive risk management approach.
From identity management to third-party certifications, the right technology partner should make security easier to manage. Here are the three building blocks that fleet managers need to stay in control as connected systems scale.
Distracted driving remains one of the most persistent risks in fleet operations. New approaches focus on removing mobile device use entirely while adding real-time safety support.
As distraction risks evolve, fleets are turning to smarter, more connected technologies to better understand what’s happening behind the wheel. Part 2 explores how these tools are helping identify risky behaviors and improve visibility across operations.
Distracted driving is often measured by what we can see—phones in hand, eyes off the road. But what about the distractions we can’t? A recent incident raises a bigger question about awareness, attention, and why subtle risks so often go unnoticed.
