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parkITsmart: minimization of cruising for parking


Tsiaras, Christos; Hobi, Livio; Hofstetter, Fabian; Liniger, Samuel; Stiller, Burkhard (2015). parkITsmart: minimization of cruising for parking. In: The 24th International Conference on Computer Communications and Networks (ICCCN 2015), Las Vegas, Nevada, USA, 3 August 2015 - 6 August 2015, 1-8.

Abstract

Finding a parking space in urban areas is a daily challenge for drivers across the world, due to the increasing amount of vehicles and the limited amount of parking spaces. Drivers who are looking for a parking space in peak hours are often forced to drive around city blocks until they spot a free parking space. This process is termed in literature “cruising for parking” and is proven to (a) cost a lot of time and gas for drivers, (b) generate unnecessary traffic load, and (c) affect the environment negatively due to increased vehicle emissions. This work proposes a Parking Monitoring and Management System (PMMS) that collects, processes, and presents data about available parking spaces and their tariffs within a geographical region. The end-user application of the PMMS, parkITsmart, delivers at drivers bird’s-eye view concerning the parking availability. To facilitate this, the PMMS gathers data from drivers’, vehicles, their mobile phones, and Parking Inspectors (PIs). This work shows that in the Internet-of-Things (IoT) environment, “pairing” cars and drivers’ mobile phones, collecting data from their sensors, and from PIs in a parking monitoring and management system, can decrease significantly cruising times for parking and can increase the time demands of the parking controlling process.

Abstract

Finding a parking space in urban areas is a daily challenge for drivers across the world, due to the increasing amount of vehicles and the limited amount of parking spaces. Drivers who are looking for a parking space in peak hours are often forced to drive around city blocks until they spot a free parking space. This process is termed in literature “cruising for parking” and is proven to (a) cost a lot of time and gas for drivers, (b) generate unnecessary traffic load, and (c) affect the environment negatively due to increased vehicle emissions. This work proposes a Parking Monitoring and Management System (PMMS) that collects, processes, and presents data about available parking spaces and their tariffs within a geographical region. The end-user application of the PMMS, parkITsmart, delivers at drivers bird’s-eye view concerning the parking availability. To facilitate this, the PMMS gathers data from drivers’, vehicles, their mobile phones, and Parking Inspectors (PIs). This work shows that in the Internet-of-Things (IoT) environment, “pairing” cars and drivers’ mobile phones, collecting data from their sensors, and from PIs in a parking monitoring and management system, can decrease significantly cruising times for parking and can increase the time demands of the parking controlling process.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:6 August 2015
Deposited On:15 Dec 2015 13:21
Last Modified:16 Aug 2017 17:17
Publisher:IEEE
Additional Information:In: 24th International Conference on Computer Communication and Networks (ICCCN), 2015
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/ICCCN.2015.7288448
Official URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7288448
Related URLs:https://files.ifi.uzh.ch/CSG/staff/tsiaras/Extern/Publications/ICCCN15.pdf (Author)
http://icccn.org/icccn15/ (Organisation)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7287473 (Publisher)
Other Identification Number:merlin-id:12740

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