Abstract
Given the concentration of the majority of population in urban areas and the lack of available public space, car parking has evolved as a major problem for big cities in recent years. To address the issue, several approaches have been proposed including incentivization mechanisms for increasing the use of public transport, carpooling for reducing the number of vehicles in the urban traffic network and crowdsourcing for reporting in real-time available free parking spots in the network. Towards the last direction, in this paper we introduce a novel crowdsourcing mobile application for reporting and allocating available free parking spots in an urban traffic network. The mobile application is based on a framework providing the necessary services for a user to report an available free parking spot discovered in the network, it distributes in real-time to all registered users the information about all available free parking spots in the whole network, as well as it evaluates the credibility of the received crowdsourcing information using an advanced probabilistic algorithm. Moreover, the proposed framework places special emphasis on the visualization of the parking availability using appropriate coloring schemes with varied opacity levels. The mobile application encapsulates diverging services to provide a complete solution to the end user of the city.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Topcoder. https://www.topcoder.com/. Accessed 10 April 2022
Freelancer. https://www.freelancer.com/. Accessed 10 April 2022
Crowdspring. https://www.crowdspring.com/. Accessed 10 April 2022
Amazon Mechanical Turk. https://www.mturk.com/. Accessed 10 April 2022
NASA Solve. https://www.nasa.gov/solve/index.html. Accessed 10 April 2022
Caragliu, A., del Bo, C., Nijkamp, P.: Smart cities in Europe. J. Urban Technol. 18 (2011)
Giffinger, R., Gudrun, H.: Smart cities ranking: an effective instrument for the positioning of cities? Architect. City Environ. 4 (2010)
Washburn, D., Sindhu, U., Balaouras, S., Dines, R.A., Hayes, N.M., Nelson, L.E.: Helping CIOs Understand “Smart City” Initiatives: Defining the Smart City, Its Drivers, and the Role of the CIO. Forrester Research Inc, Cambridge, MA (2010)
Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., Williams, P.: Foundations for Smarter Cities. IBM J. Res. Develop. 54 (2010)
Małecki, K., Iwan, S., Kijewska, K.: Influence of intelligent transportation systems on reduction of the environmental negative impact of urban freight transport based on Szczecin example. Procedia Soc. Behav. Sci. 151
Ali, K., Al-Yaseen, D., Ejaz, A., Javed, T., Hassanein, H.S.: CrowdITS: Crowdsourcing in intelligent transportation systems. IEEE Wirel. Commun. Networking Conf., WCNC
Misra, A., Gooze, A., Watkins, K., Asad, M., Le Dantec, C.: Crowdsourcing and its application to transportation data collection and management. Transp. Res. Rec. 2414 (2014)
Wan, X., Ghazzai, H., Massoud, Y.: Mobile Crowdsourcing for intelligent transportation systems: real-time navigation in urban areas. IEEE Access 7 (2019)
Moovit. https://company.moovit.com/. Accessed 10 April 2022
Waze. https://www.waze.com/. Accessed 10 April 2022
Navmii. https://www.navmii.com/. Accessed 10 April 2022
Transit. https://transitapp.com/. Accessed 10 April 2022
SpotAngels: Retrieved November 28, 2019, from https://www.spotangels.com/ (2019)
Hoh, B., Yan, T., Ganesan, D., Tracton, K., Iwuchukwu, T., Lee, J.-S.: TruCentive: a game-theoretic incentive platform for trustworthy mobile crowdsourcing parking services. In: 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 160–166 (2012)
Salamanis, A., Drosou, A., Michalopoulos, D., Kehagias, D., Tzovaras, D.: A probabilistic framework for the reliability assessment of crowd sourcing urban traffic reports. Transp. Res. Procedia 14 (2016)
SocialPark Research Project. https://www.socialpark.upatras.gr/. Accessed 10 April 2022
Shoup, D.: The High Cost of Free Parking. Planners Press (American Planning Association) (2005)
Fahim, A., Hasan, M., Chowdhury, M. A.: Smart parking systems: comprehensive review based on various aspects. Heliyon 7(5) (2021)
Samir, E.-S., Hosam, E.-S., Islam, T.-E.: Towards the development of smart parking system using mobile and web technologies (2016). https://doi.org/10.1109/IMCTL.2016.7753762
Acknowledgements
Research supported by SocialPark national research project [21].
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Spanidis, P., Dimokas, N., Panou, M., Christainas, G., Salamanis, A., Kehagias, D. (2023). An Innovative Mobile Application for Booking Parking Spots. In: Nathanail, E.G., Gavanas, N., Adamos, G. (eds) Smart Energy for Smart Transport. CSUM 2022. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-23721-8_30
Download citation
DOI: https://doi.org/10.1007/978-3-031-23721-8_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23720-1
Online ISBN: 978-3-031-23721-8
eBook Packages: EngineeringEngineering (R0)