How connected vehicles' windshield wipers could prevent flooding

How connected vehicles’ windshield wipers could prevent flooding
Analysis of a single vehicle trip occurring from 21:46–22:26 on August 11, 2014. The top two panels show video footage during the rainy (left) and dry (right) segments of the trip. The bottom left panel shows a map of the vehicle’s trip, with the wiper intensity indicated by color. A radar overlay shows the average rainfall intensity over the 40-minute time period. Blue circles represent the gages nearest to the vehicle path. The two bottom right panels show the precipitation intensity as estimated by radar and gage measurements (center), and the 1-minute average wiper intensity (bottom). Credit: Scientific Reports

One of your car's oldest features has been put to a new, high-tech use by University of Michigan researchers.

Utilizing a test fleet in the city of Ann Arbor, engineers tracked when wipers were being used and matched it with video from onboard cameras to document rainfall. They found that tracking windshield wiper activity can provide faster, more accurate rainfall data than radar and rain gauge systems we currently have in place.

A community armed with that could move more quickly to prevent flash-flooding or sewage overflows, which represent a rising threat to property, infrastructure and the environment.

Coupled with "smart" stormwater systems—infrastructure outfitted with autonomous sensors and valves—municipalities could potentially take in data from connected vehicles to predict and prevent flooding.

"These vehicles offer us a way to get rainfall information at resolutions we'd not seen before," said Branko Kerkez, U-M assistant professor of civil and environmental engineering. "It's more precise than radar, and allows us fills gaps left by existing rain gage networks."

Our best warnings for flood conditions come from the combination of radar tracking from satellites and rain gauges spread over a wide geographic area. Both have poor spatial resolution, meaning they lack the ability to capture what's happening at street-level.

"Radar has a spatial resolution of a quarter of a mile and a of 15 minutes," said Ram Vasudevan, a U-M assistant professor of mechanical engineering. "Wipers in contrast have a spatial resolution of a few feet and a temporal resolution of a few seconds which can make a huge difference when it comes predicting flash flooding."

Earlier this year, the European Academy of Sciences reported the number of floods and extreme rainfall events increased by more than 50 percent this decade and happen four times more often than they did in 1980.

"Because of the sparseness of radar and rain gauge data, we don't have enough information about where rain is occurring or when it's occurring to reduce the consequences of flooding," Vasudevan said. "If you have fine-grain predictions of where flooding occurs, you can control water networks efficiently and effectively to prevent all sorts of dangerous chemicals from appearing inside our water supply due to runoff."

Creating a blanket system of sensors across a city for street-level data on rain events would be costly. By utilizing connected vehicles, U-M is tapping a resource already in place now that will only grow larger in the future.

Researchers collected data from a set of 70 cars outfitted with sensors embedded in and dashboard cameras. The vehicles were part of a program run by the U-M Transportation Research Institute in 2014.

That program, called Safety Pilot, was at the time the world's largest connected vehicle test program with roughly 3,000 participants. It continues, and is now the Ann Arbor Connected Vehicle Test Environment.

Kerkez and Vasudevan said their research represents a first step in creating a smart infrastructure system that is fed by and responds to data as it is collected from vehicles on the road. But more work will be needed to bring the concept to fruition.

"One day, when everything is connected, we're going to see the benefits of this data collection at a system scale," Kerkez said. "Right now, we've made connections between cars and water, but there will surely be more examples of data sharing between interconnected infrastructure systems."

The research appears in Scientific Reports: "Windshield wipers on connected vehicles produce high-accuracy rainfall maps."


Explore further

NASA's GPM observes Arkansas and Tennessee flooding downpours

More information: Matthew Bartos et al. Windshield wipers on connected vehicles produce high-accuracy rainfall maps, Scientific Reports (2019). DOI: 10.1038/s41598-018-36282-7
Journal information: Scientific Reports

Citation: How connected vehicles' windshield wipers could prevent flooding (2019, January 18) retrieved 25 April 2019 from https://techxplore.com/news/2019-01-vehicles-windshield-wipers.html
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User comments

Jan 18, 2019
We don't necessarily want "conneted cars" due to privacy issues of tracking all vehicles.


Jan 19, 2019
This is a wolf in sheep's clothing. Wipers are on manual switches in the first place. They do not come on automatically. You must TURN them on with a rotary switch with several stops for varying speeds to the driver's taste. Some drivers run full out all the time even in a slow drizzle, and some run intermittent in drizzles, or faster intermittents in case the window is dirty...all to driver's taste. That said, I would strongly suspect any data like this collected, not to mention preponderance of data would be in high population concentration areas which would skew the data toward 'more rain' in the towns and cities.

In addition, this piece comes from Univ of Mich., a known producer of covert citizen data collection schemes to spy on citizens. Who knows the real purpose. Coupled with other 'shared data', this could uniquely track visits to stores, doctors, specialists...or bars or cathouses and casinos. Employers, insurances, gov't investigators, others would love this.

Jan 19, 2019
Both of those above comments being true notwithstanding, privacy and backdooring, that sort of data is going to be available anyway through smart cars. Think about how many systems will be talking to each other constantly. You'll probably need to flash an ID or a credit card or have an app account to use them or register them in the first place, and they will be constantly swapping data with every other vehicle on the road (after the bulk of those are also smart cars). Even if this sort of data monitoring isn't forced into private vehicles (if we still get to have private vehicles) it is logical to put it in every public vehicle on the road, since those will be tracked constantly anyway. Busses, taxis, trains, power poles, sewer systems, everywhere will be full of sensors for this kind of real time real location weather data. Privacy on the roads is already pretty nonexistent. They know where you are at all times if your phone is on, gps is on, satellite radio is on, etc.

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