partially automated driving

how-nissan-leveraged-its-driver-assist-to-cut-traffic-jams

How Nissan leveraged its driver assist to cut traffic jams

Instead, CCM works by having a lead car, or “probe,” send information to following CCM-equipped cars, which are separated by non-CCM cars between them. The information from the probe car lets the following cars keep an appropriate distance from each other—between 30 and 60 seconds—and if there’s a slowdown ahead, the following cars will decelerate more gently over time, preventing the kind of concertina action that triggers traffic jams when human drivers see someone slowing down in front of them.

Jerry Chou, a senior researcher at Nissan’s Silicon Valley center, described CCM to me as “mixed autonomy—that means a mix of the controlled vehicles and other human driven vehicles in between.” Instead of DSRC, the cars use their embedded LTE modems to communicate via Nissan’s cloud.

As most people who have used adaptive cruise control know, if your following distance is too large, other drivers will often cut in, causing you to decelerate. “So we did spend some time to balance this phenomenon and the performance of our system. So there’s some parameters we continue to control to balance this,” Chou told me.

The view from inside a Nissan Ariya equipped with an experimental congestion management system.

Note the test equipment that’s fitted to the dash of this CCM-equipped Nissan Ariya test vehicle. Credit: Nissan

Next, I asked Chou what percentage of cars in traffic would need to be CCM-enabled to effect a reduction in congestion?

“So in our simulations we tried different penetration rates… and we saw that our benefits increase proportionally to penetration rates. But we already can see some good results at around 4–5 percent penetration,” Chou told me. “But you know, that’s actually one challenge of experimental. Since our experiment only has a few cars, we have been thinking about how to control just these few cars to see some results.”

Future refinements for the system include giving the humans some feedback on why their cars are slowing (in part so they don’t countermand the system and just accelerate manually). If that proves successful, we may even see CCM licensed to other automakers in the future, Chou said.

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Partial automated driving systems don’t make driving safer, study finds

hands on the wheel, eyes on the road —

Many driver assists do increase safety, but little evidence lane keeping is one.

A Nissan steering wheel with ProPILOT assist buttons on it

Enlarge / Nissan’s ProPilot Assist was one of two partially automated driving systems to be studied for crash safety improvements.

Nissan

Driver assists that help steer for you on the highway haven’t contributed much to road safety, according to a new study from the Insurance Institute for Highway Safety and the Highway Loss Data Institute. That’s in contrast to other features often bundled together as “advanced driver assistance systems,” or ADAS, many of which have shown a marked reduction in crash and claim rates.

“Everything we’re seeing tells us that partial automation is a convenience feature like power windows or heated seats rather than a safety technology,” said David Harkey, IIHS president.

However, we should note that, as a follow-up to a pair of earlier studies published in 2021, the new research by IIHS and HLDI focused on two older partially automated driving systems, model-year 2017–2019 Nissan Rogues with ProPilot Assist and model year 2013–2017 BMWs with Driving Assistant Plus.

Those earlier studies found plenty of benefits to some ADAS features. Of BMW’s various collision avoidance systems, many reduced the claim frequency for various types of vehicle damage, property liability, and injury claims.

Crash rates

But when IIHS’s senior vice president of research, Jessica Cicchino, analyzed crash rate data for this population of cars, she found that despite an apparent modest reduction, there was no significant difference in lane departure crashes between BMWs equipped with lane departure warning and prevention and cars fitted with both systems plus partial automation, versus cars without any steering assist, after controlling for variables like driver age, gender, model year, and so on.

However, BMWs with lane departure warning and prevention did have significantly fewer lane departure crashes during daylight hours than cars without such systems.

The ADAS in Nissan Rogues did significantly lower rear-end and lane departure crash rates, with the greatest benefit being in the cars with the most assists (partial automation as well as forward collision warning, automatic emergency braking, lane departure warning, lane departure prevention) versus Rogues without such systems.

But Cicchino found those effects persisted on surface streets and roads with speed limits lower than 35 mph (56 km/h), speeds at which ProPilot Assist won’t keep centered in a lane unless following another car. That suggests some other factor at work here—possibly the fact that the better-equipped Rogues also had more effective headlights, IIHS says. (This year, IIHS started requiring an automaker to fit all trim levels in a model with the best headlights in order to be eligible for a Top Safety Pick or Top Safety Pick+ rating.)

Not the first time lane-keeping has claimed credit

This isn’t the first time that a different bit of equipment bundled together under a specific trim package or option has confounded attempts to determine the safety of lane-keeping systems. In 2018, the National Highway Traffic Safety Administration told Ars that Tesla misattributed the safety benefit of its Autopilot partially automated driving system when in fact, the safety impact was likely due to automatic emergency braking and forward collision warning.

Testing for the safety of lane-keeping systems is more challenging than other crash-avoidance systems, because it must be actively engaged by the driver as opposed to constantly monitoring for danger, like an imminent forward crash. Not everyone with lane-keeping systems engages them, and even those who do don’t engage them on every journey.

Studies that look at actual telematics data from cars, which would accurately record when such systems are turned on, would help better answer this question, according to the study. And even then, the benefit is likely to be small—only 6 percent of police-reported crashes in the US “were run-off-road or same-direction sideswipes resulting from unintentional lane departures, or rear-ends, that occurred on interstate highways,” Cicchino wrote.

“With no clear evidence that partial automation is preventing crashes, users and regulators alike should not confuse it for a safety feature,” Cicchino said in a press release. “At a minimum, safeguards like those IIHS promotes through its rating program are essential to reduce the risks that drivers will zone out or engage in other distracting activities while partial automation is switched on.”

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