Skip to main content

Intelligent parking drone technology wins Siemens’ contest

His daily quest to find a parking space gave Amir Ehsani Zonouz, a student at the University of Massachusetts Dartmouth, USA, the incentive to look for an effective solution, leading to him winning the inaugural Siemens Mobility IDEA (Improving Design and Engineering for All) Contest. Zonouz proposed using quadcopters, or drones, which can quickly find unoccupied parking spaces, identify the shortest path to the closest free spot and immediately guide the driver to the space using a mobile app or direct
January 16, 2015 Read time: 2 mins
His daily quest to find a parking space gave Amir Ehsani Zonouz, a student at the University of Massachusetts Dartmouth, USA, the incentive to look for an effective solution,  leading to him winning the inaugural 120 Siemens Mobility IDEA (Improving Design and Engineering for All) Contest.

Zonouz proposed using quadcopters, or drones, which can quickly find unoccupied parking spaces, identify the shortest path to the closest free spot and immediately guide the driver to the space using a mobile app or directly via the communication system in their own vehicle. The technology also makes it possible for the drones to use infra-red/thermal cameras when flying at night.

Second place went to Sakib Khan, a student at Clemson University in South Carolina, who had a clever idea for technology to keep pedestrians safe when crossing the road. Sasan Amini, a student at the Technical University of Munich, took third place with his idea to develop self-parking autonomous vehicles.

According to recent statistics, urban commuters annually spend an average of around 34 hours in standing traffic, using approximately seven litres of fuel. Siemens felt that there has never been a greater need for revolutionary ideas to solve existing and future traffic problems and with this in mind, in 2014 launched its Mobility IDEA (Improving Design and Engineering for All) Contest to find innovations that would improve the world of mobility.

"The fact that all three prize-winners in the first Siemens competition of its kind come from universities shows just how important it is that we encourage tomorrow's bright minds today, so that we can develop smart solutions to our most urgent challenges," said Ben Collar, head of the Research and Development department at Siemens Road and City Mobility in the USA.

Related Content

  • Mounting benefits of dynamic tolling project
    January 30, 2012
    Wisconsin's four-year HOT lanes pilot project, launched in May 2008, cost US$18.8 million to construct. Halfway into the project, which uses variably priced, or dynamic, tolling to improve highway efficiency, the benefits are mounting. The problem was obvious, and frustrating, to anyone who ever sat in bumper-to-bumper traffic on State Route 167 and watched a lone car whiz by every 20 seconds or so in the carpool lane. But for planners at the Washington State Department of Transportation, the conundrum was
  • US IntelliDrive cooperative infrastructure programme
    February 2, 2012
    The 'rebranding' of the US's Vehicle-Infrastructure Integration programme as IntelliDrive marks an effort to make the whole undertaking more accessible both in terms of nomenclature and technology. Shelley Row, director of the ITS Joint Program Office within USDOT's Research and Innovative Technology Administration, talks about the changes
  • Bill Halkias: 'We need a sustainable world'
    April 20, 2021
    In the first of our Tolling Matters interview series, Bill Halkias, MD & CEO of Attica Tollway Operations Authority and president of the International Road Federation, talks to Adam Hill about post-Covid recovery and sustainable mobility
  • Stereoscopic camera system enables speed monitoring across two lanes
    March 10, 2014
    Imagsa Technologies, a high-tech company founded in 2006 to develop high-speed intelligent cameras, will use Intertraffic Amsterdam 2014 to launch a major new camera, the Chronos’Spot. The company is a pioneer in the use of massive parallelism to analyse 270 images per second with 2048 x 1024pixeles resolution (2 megapixel). The Chronos’Spot stereoscopic vision system combines two of these smart cameras to capture and analyse a total of 1080 megapixels per second. This huge volume of data is processe