Real-time event-based information collection from street parking

Ali Lattunen, Kari Arvonen, Artem Katasonov, Ville Mikkonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Efficient parking management requires collecting up-to-date information from parking facilities: sub-area occupancies, vehicle identities, vehicle locations, payments, and other. Considering car parks with access control and zone-specific vehicle counting, there are advanced solutions for collecting this information in high detail. However, the characteristics of street parking make it more challenging to gather such a real-time information repertory. Equipping streets with bay-specific sensors to get occupancy information is both expensive and against the trend of reducing the amount of road-side parking equipment. In this paper, the authors introduce an information system for street parking, which is based on real-time event-based data collection uniformly from both mobile payment and pay-and-display (P&D) machines. This makes it possible to introduce up-to-date guidance concepts for street parking as well as to implement novel methods for online parking enforcement.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication20th World Congress on Intelligent Transport Systems 2013
Pages507-515
Publication statusPublished - 2013
MoE publication typeNot Eligible
EventITS 20th World Congress on
Intelligent Transport Systems 2013
- Tokyo, Japan
Duration: 14 Oct 201318 Oct 2013

Conference

ConferenceITS 20th World Congress on
Intelligent Transport Systems 2013
CountryJapan
CityTokyo
Period14/10/1318/10/13

Fingerprint

Parking
Access control
Information systems
Railroad cars
Display devices
Sensors

Keywords

  • parking
  • real-time information
  • dynamic guidance

Cite this

Lattunen, A., Arvonen, K., Katasonov, A., & Mikkonen, V. (2013). Real-time event-based information collection from street parking. In Proceedings: 20th World Congress on Intelligent Transport Systems 2013 (pp. 507-515)
Lattunen, Ali ; Arvonen, Kari ; Katasonov, Artem ; Mikkonen, Ville. / Real-time event-based information collection from street parking. Proceedings: 20th World Congress on Intelligent Transport Systems 2013. 2013. pp. 507-515
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title = "Real-time event-based information collection from street parking",
abstract = "Efficient parking management requires collecting up-to-date information from parking facilities: sub-area occupancies, vehicle identities, vehicle locations, payments, and other. Considering car parks with access control and zone-specific vehicle counting, there are advanced solutions for collecting this information in high detail. However, the characteristics of street parking make it more challenging to gather such a real-time information repertory. Equipping streets with bay-specific sensors to get occupancy information is both expensive and against the trend of reducing the amount of road-side parking equipment. In this paper, the authors introduce an information system for street parking, which is based on real-time event-based data collection uniformly from both mobile payment and pay-and-display (P&D) machines. This makes it possible to introduce up-to-date guidance concepts for street parking as well as to implement novel methods for online parking enforcement.",
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Lattunen, A, Arvonen, K, Katasonov, A & Mikkonen, V 2013, Real-time event-based information collection from street parking. in Proceedings: 20th World Congress on Intelligent Transport Systems 2013. pp. 507-515, ITS 20th World Congress on
Intelligent Transport Systems 2013, Tokyo, Japan, 14/10/13.

Real-time event-based information collection from street parking. / Lattunen, Ali; Arvonen, Kari; Katasonov, Artem; Mikkonen, Ville.

Proceedings: 20th World Congress on Intelligent Transport Systems 2013. 2013. p. 507-515.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

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N2 - Efficient parking management requires collecting up-to-date information from parking facilities: sub-area occupancies, vehicle identities, vehicle locations, payments, and other. Considering car parks with access control and zone-specific vehicle counting, there are advanced solutions for collecting this information in high detail. However, the characteristics of street parking make it more challenging to gather such a real-time information repertory. Equipping streets with bay-specific sensors to get occupancy information is both expensive and against the trend of reducing the amount of road-side parking equipment. In this paper, the authors introduce an information system for street parking, which is based on real-time event-based data collection uniformly from both mobile payment and pay-and-display (P&D) machines. This makes it possible to introduce up-to-date guidance concepts for street parking as well as to implement novel methods for online parking enforcement.

AB - Efficient parking management requires collecting up-to-date information from parking facilities: sub-area occupancies, vehicle identities, vehicle locations, payments, and other. Considering car parks with access control and zone-specific vehicle counting, there are advanced solutions for collecting this information in high detail. However, the characteristics of street parking make it more challenging to gather such a real-time information repertory. Equipping streets with bay-specific sensors to get occupancy information is both expensive and against the trend of reducing the amount of road-side parking equipment. In this paper, the authors introduce an information system for street parking, which is based on real-time event-based data collection uniformly from both mobile payment and pay-and-display (P&D) machines. This makes it possible to introduce up-to-date guidance concepts for street parking as well as to implement novel methods for online parking enforcement.

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Lattunen A, Arvonen K, Katasonov A, Mikkonen V. Real-time event-based information collection from street parking. In Proceedings: 20th World Congress on Intelligent Transport Systems 2013. 2013. p. 507-515