Crowdsourcing Model for Reducing Inappropriate Parking in Urban Areas

Keywords:
parking, crowdsourcing, smartphone, participatory sensing.

Abstract:
Inappropriately parked vehicles cause inconvenience and threat to many traffic participants. Current ways to solve this problem are slow and inefficient, letting unscrupulous drivers escape without penalties. As a result, number of vehicles that are inappropriately parked increases every day. If we could timely notice inappropriately parked vehicles and inform the authorities promptly, it would be harder for drivers to get away without being fined. Awareness that inappropriate parking would not go unnoticed would impel them to do it more rarely. This paper proposes a design of the new system, based on smartphones and new concepts such as participatory sensing and crowdsourcing, that can timely notice inappropriate parking and inform the responsible ones with the aim to eradicate inappropriate parking.

CITATION:

IEEE format

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A. Uzelac, S. Zdravković, S. Janković, S. Mladenović, “Crowdsourcing Model for Reducing Inappropriate Parking in Urban Areas,” in Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2017, pp. 452-457. doi:10.15308/Sinteza-2017-452-457

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Uzelac, A., Zdravković, S., Janković, S., Mladenović, S. (2017). Crowdsourcing Model for Reducing Inappropriate Parking in Urban Areas. Paper presented at Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2017-452-457

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