Related: Toyota to Relaunch Avalon for 2019
Toyota Deploys Autonomous Vehicles for Durability Testing
Toyota recently used automated vehicle technology with the goal of improving safety and efficiency of rough-road durability testing when evaluating its 2019 Avalon.

Photo courtesy of Toyota.

Photo courtesy of Toyota.
Toyota recently used automated vehicle technology with the goal of improving safety and efficiency of rough-road durability testing when evaluating its 2019 Avalon. According to the automaker, using a robot behind the wheel versus a human being resulted in overall greater safety, efficiency and reduced test times.
Typically, rough road durability testing for Toyota’s North American vehicles is conducted on a custom-designed course in Michigan featuring potholes, dips and other road defects. In the past, Toyota engineers and technicians performing car evaluations were repeatedly subjected to a grueling ride as they drove vehicles day-after-day in order to accumulate the necessary mileage.
However, a human being behind the wheel is not critical to the testing. So when planning for durability testing of the 2019 Avalon began, Toyota’s vehicle performance development team (VPD) designed a system that allowed the car to automatedly navigate around the course.
A robot behind the wheel not only saved engineers from a bumpy ride, but it provided a more accurate test cycle, according to the automaker.
Toyota’s VPD team says it was a challenge to connect components that could remotely start, shift, steer and stop the Avalon. However, getting it to navigate accurately was an even greater hurdle.
The team developed a special GPS-guided path control system that would keep the test car on the narrow track at high speeds and to get accurate results—even as potholes continuously jolted it. In addition, they developed path control software that allowed the robot to drive a set course with accuracy of within two-centimeters.
Throughout the entire test—covering some thousands of kilometers—the robot rode solo. No human being was required to physically occupy the Avalon through the harsh testing conditions.
In addition to higher accuracy and repeatable patterns, the robot allowed the Toyota team to test for longer cycles. Prior to installing the automated system, the test would have to be interrupted every 30-40 minutes to change drivers.
Toyota plans to use the robot for testing during all future North American vehicle development cycles.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
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.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
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.
Read More →
