How many drivers does it take to spot an OpenSpot?
Imre Lendák, Károly Farkas · 2016
The primary goal of this paper is to investigate what could have made successful Google's OpenSpot, a crowdsensing based parking assistance application cancelled in 2012. For this analysis we have developed UPark, a simulation environment capable of simulating large numbers of vehicles, which look for optimal parking spots in busy urban environments and whose drivers might inform others when they take or free a parking spot (e.g. via a mobile crowdsensing based application which allows the drivers to share the exact time and GPS position of a parking event). We introduce also the UPark simulation environment which has the potentials to be used for investigating other crowdsensing scenarios, e.g. `sensing' the perceived safety level or crowdedness of urban spaces, or public transport related events.