NEWS

EV Sounds Create Pedestrian Safety Challenge

Electric vehicles emit mandated sounds for pedestrian safety, but a new study reveals these artificial noises are surprisingly difficult for people to localize. This unexpected challenge stems from their varied, non-broadband nature, hindering our ability to instinctively pinpoint their source.

By
LNGFRM Team
Published June 20, 2025
"Illustration of a white car and a pedestrian walking on a striped road, with wireless signal waves visible."
Illustration by Addison Smith for LNGFRM

The ethereal hum of an electric vehicle gliding down a quiet street has become a signature of the modern age, often evoking comparisons to everything from a celestial choir to a flying saucer’s gentle descent.

Social media is awash with clips of these otherworldly symphonies, with users quipping about spaceships landing or mistaking a BMW’s reverse chime for a Lorde track.

It’s a quirky, almost charming aspect of the EV revolution, a subtle nod to a future where cars no longer roar but rather, serenade.

Yet, beneath this whimsical auditory veneer lies a serious concern: these angelic warbles are proving surprisingly difficult for pedestrians to locate, posing an unexpected safety challenge in our increasingly electrified urban landscapes.

A recent study from Chalmers University of Technology in Sweden has pulled back the curtain on this auditory enigma, revealing that the very sounds designed to make EVs safer are, in fact, making them harder to hear.

Researchers examined how effectively an average person could pinpoint the source of three common types of low-speed EV warning sounds – two-tone, multitone, and narrowband noise – against the familiar rumble of a standard internal combustion engine (ICE).

The findings were stark: all three EV sound categories were significantly more challenging for test subjects to localize than their fossil-fueled counterparts.

This isn’t merely an academic exercise; it’s a critical safety issue.

EVs, by their very nature, are almost silent without a combustion engine.

While this contributes positively to reducing urban noise pollution, it creates a dangerous void for pedestrians who rely on auditory cues to navigate traffic.

Recognizing this, the U.S. has, since 2019, mandated that all hybrid and electric vehicles emit a low-level noise when traveling in reverse or forward at speeds up to 19 miles per hour.

This legislative prompt, however, has been interpreted with a startling degree of creative liberty by automakers.

The result is an eclectic symphony on our roads: Cadillac’s didgeridoo-inspired alert, Hyundai’s fighter-jet homage in the Ioniq 5 N, and BMW’s curated portfolio of i4 electric sedan noises crafted by none other than film score maestro Hans Zimmer.

While these bespoke soundscapes certainly add character and a futuristic flair, the Chalmers study suggests that this creative freedom may have inadvertently compromised safety.

Leon Müller, a PhD student at Chalmers and co-author of the study, highlighted the particular difficulty with two-tone acoustic vehicle alerting systems (AVAS).

While a single EV might pose only minor localization errors, the presence of multiple EVs dramatically escalates the problem.

“In that case, the participants had much more [difficulty] localizing the cars, up to a point where most participants failed to even detect all presented EVs within an appropriate time,” Müller explained.

The reasons for this auditory disconnect are rooted in human perception and a century of learned behavior.

Combustion engine noise is a “broadband signal,” rich in frequencies, offering our auditory system a wealth of information to process and pinpoint.

We’ve spent over a hundred years subconsciously learning to interpret these sounds – how acceleration changes the pitch, how a car’s presence is signaled by its characteristic hum.

EV sounds, in contrast, are artificial, often lacking this broadband complexity, and crucially, they currently lack a universal, learned characteristic.

Every automaker is designing its own unique sonic signature, preventing the collective human ear from acclimating.

“One could expect that we would then also get used to EV sounds within a few years.

The only problem is that they currently all sound different,” Müller observed, hitting on a key challenge for widespread safety.

So, how do we reconcile the desire for innovative, quiet EVs with the undeniable need for pedestrian safety?

Müller proposes two primary avenues for improvement.

Firstly, regulatory bodies like the NHTSA in the U.S. and their EU counterparts need to move beyond mere minimum sound levels.

Current regulations are too permissive, allowing for everything from “a futuristic spaceship sound or a racing car engine,” as Müller puts it.

There’s also no requirement for a velocity pitch shift in the U.S., meaning an EV could sound the same at 60 mph as it does at 25 mph, removing a crucial auditory cue for speed and proximity.

Clearer demands on sound characteristics are essential to ensure functional safety over aesthetic novelty.

Secondly, automakers should pivot towards more broadband AVAS signals, akin to the noise generated by tires at higher speeds.

This type of sound is not only potentially less annoying than the tonal sounds currently in vogue but also leverages our existing, learned understanding of road noise.

It’s a sound we “hear every day,” making it inherently easier to interpret and localize.

Looking further ahead, adaptive AVAS solutions, integrating pedestrian detection technology, offer an even more sophisticated approach.

Imagine an EV that can direct a precise warning sound only towards an approaching pedestrian, enhancing safety without contributing to general noise pollution.

It’s important to underscore that the Chalmers study isn’t a condemnation of electric vehicles.

As Müller himself states, “One important bottom line here is that we are not saying EVs are bad or dangerous.

With the right type of warning signal, they are not.”

On the contrary, EVs hold immense potential for reducing urban noise pollution precisely because their warning sounds can be precisely controlled, unlike the constant, unavoidable drone of a combustion engine.

The challenge, then, is not to make EVs louder, but to make them audibly smarter.

The future of mobility demands not just a cleaner ride, but a safer, more intelligently designed sonic experience for everyone sharing the pavement.

The era of the “spaceship landing” joke might soon give way to a more harmonized, and ultimately, safer, urban soundscape.

Author

  • LNGFRM Team

    Frank DiBernardo handles LNGFRM's Foodie and Miscellaneous writing tasks. He's always getting ideas from users, so don't be afraid to send an email to the editor.

Daily Newsletter
Subscribe to our Newletter!
You May Also Like

Karthick Ravichandran on Predictive Automotive Risk Management

Karthick Ravichandran’s work industrializing electric vehicle architectures is built on a conviction that quality is a design responsibility, not a manufacturing one—and that the failure modes introduced by high-voltage batteries, thermal runaway propagation, and HV insulation breakdown require electrochemists and functional safety engineers in the DFMEA room from the start, not inspectors at the end of the line. His closed-loop methodology ensures that every warranty claim and field anomaly feeds back into the next program’s risk library, so future platforms start from known failure data rather than engineering judgment alone.

By Mike Malone
Published July 27, 2026

Siddhesh Surve: Building Scalable AI Infrastructure

Siddhesh Surve is redefining scalable AI infrastructure by combining high-velocity deployment, cost-efficient architecture, and business-aligned engineering discipline. At Meta and across prior roles, he has delivered measurable gains—cutting deployment cycles from 1.5 months to 3 days and reducing cloud costs by up to 40% while increasing processing speed by 30%. His approach signals a future where AI infrastructure is real-time, modular, and self-optimizing—built not just to scale models, but to sustainably power global enterprise growth.

By Mike Malone
Published March 3, 2026
© 2026 LNGFRM. All rights reserved.