Automotive Fleet
MenuMENU
SearchSEARCH

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.

by Staff
March 15, 2018
Toyota Deploys Autonomous Vehicles for Durability Testing

Photo courtesy of Toyota.

2 min to read


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.

Ad Loading...

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.

Ad Loading...

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

Ambulance and damaged car at a crash scene on a rainy roadway, illustrating workplace transportation risks and the growing focus on road safety management for fleets.
SafetyJune 16, 2026

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 →
Close-up of a Jeep Wrangler front grille and headlight with text noting Stellantis’ recall of 1.3 million Jeep vehicles worldwide over a potential fire risk tied to power steering wiring.
Safetyby StaffJune 10, 2026

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 →
Road signs pointing to “Safe” and “Risky” beside a glowing AI network graphic, illustrating the role of artificial intelligence in driver safety, coaching, training, and risk management.
SafetyJune 10, 2026

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 →
Ad Loading...
Driver resting in a vehicle seat, illustrating the dangers of fatigue and the importance of driver wellness, rest, and alertness for safe fleet and roadway operations.
Safetyby Judie NuskeyJune 9, 2026

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 →
A blue and red Automotive Fleet graphic calling for nominations for the fleet safety award.
Safetyby Faith HowellJune 4, 2026

Nominations Open for 2026 Fleet Safety Award

Nominations have officially opened for the 2026 Fleet Safety Award Winner.

Read More →
wheel geotab image
SponsoredJune 1, 2026

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 →
Ad Loading...
A person holding a clipboard and writing on an inspection checklist beside the wheel of a large white vehicle, likely conducting a fleet or safety inspection.
SponsoredJune 1, 2026

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 →
A Fleet Forward Conference graphic representing the safety symposium.
Safetyby Chris BrownMay 29, 2026

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 →
A person with hands on the steering wheel driving
Safetyby Judie NuskeyMay 15, 2026

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 →
Ad Loading...
Hail covers the windshield and hood of a black vehicle with text overlay about FLASH Weather AI’s new hail prediction model.
Safetyby News/Media ReleaseMay 13, 2026

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 →