Crowds prowl Google Street View to speed road repairs

POTHOLES, cracks, gnarly tree roots - the streets are full of nasty obstacles when they fall into disrepair. But an army of online workers could soon fix that, by whizzing virtually through neighbourhoods and earmarking encumbrances for a quick response from the local council.

Jon Froehlich and colleagues at the University of Maryland in College Park have developed software that allows untrained crowdsourced workers from Amazon's Mechanical Turk service (AMT) to zoom through the streets using Google Street View and find and label the potholes, obstructed pathways, broken kerbs and missing ramps that can stymie street access, particularly for those using a wheelchair or a walking aid. A report that includes images of highlighted problem areas can then be generated for the local council's road-mending crews to act on.

The researchers built a prototype following interest in the idea from officials at the US Department of Transportation, who said that the project could save municipalities precious time and resources by telling repair teams the precise nature of the problem before they head into the field. This would aid scheduling and ensure that crews take the right amount of materials - such as concrete or flagstones - to the site.

The team tested the labelling software using six volunteers - three members of the research team and three wheelchair users - and then set the task to 400 AMT workers. After viewing a short instructional video, which showed how to identify problem areas by labelling them with coloured shapes, the workers accurately spotted access issues 93 per cent of the time. Froehlich will present the work in April at the Conference on Human Factors in Computing Systems in Paris, France.

In the next version of the system, the team wants to automate the process using computer vision algorithms. The researchers also hope to access the precise laser range-finding data that the Street View camera cars acquire as they comb the streets. Such information would increase accuracy when assessing the sizes and shapes of obstructions.

"It sounds like this project has a lot of parallels with FixMyStreet," says Myfanwy Nixon of mySociety, a non-profit organisation in London that runs FixMyStreet.com, where people can report street problems. "Online technologies are very good for people with limited mobility or a disability that prevents them from getting their voice out via other means."

This article appeared in print under the headline "Online eyes see the way to an easier amble"

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