One of the major traffic challenges many cities face worldwide is the search for empty parking space. The existing parking supply is not used effectively and as a result, the continuously growing demand cannot be served. The drivers experience a time and fuel consuming search for a free parking space, while time loss has been found to be the most important consequence on the individual level. The purpose of this paper is to identify driver’s willingness to use smartphone parking applications, their typical parking behavior, as well as their expectations from such parking assistance tools. For this reason, two different studies were conducted: the first one by the Technical University of Munich and the second one by the National Technical University of Athens. The results of the two studies are further analyzed and compared, revealing differences and similarities between the people living in these two different cities. Finally, a description of the technological and methodological specifications of an application for crowdsourcing in-vehicle data, to detect free on-street parking spaces when passing by, are further discussed.     «

One of the major traffic challenges many cities face worldwide is the search for empty parking space. The existing parking supply is not used effectively and as a result, the continuously growing demand cannot be served. The drivers experience a time and fuel consuming search for a free parking space, while time loss has been found to be the most important consequence on the individual level. The purpose of this paper is to identify driver’s willingness to use smartphone parking applications, th...     »