Improving Parking Availability Maps using Information from Nearby Roads

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Bock, F.; Sester, M.: Improving Parking Availability Maps using Information from Nearby Roads. In: Transportation Research Procedia 19 (2016), S. 207-214. DOI: https://doi.org/10.1016/j.trpro.2016.12.081

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1656

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Sum total of downloads: 133




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Abstract: 
Parking search traffic causes increased travel times and air pollution in many cities. Real-time parking availability maps are expected to help drivers to find a parking space faster and thus to reduce parking search traffic. A possibility to create such maps is the aggregation of parking availability information from crowdsourcing solutions like probe vehicles and mobile phone applications. Since these sources cannot sense the whole city at the same time, estimation methods are necessary to fill uncovered areas. This paper investigates the estimation of parking availability based on spatial methods using sensor data from San Francisco. First, spatial similarities in parking availability are evaluated for different aspects like time of day and number of parking spaces depending on the distance to reveal the parking characteristics. Then, interpolation methods are examined to estimate parking availability in unobserved road segments. Results show that relevant similarities mainly exist for short distances of less than hundred meters. Their similarity values are lower than the temporal similarity even for multiple hours of time gap. Nevertheless, spatial information is useful to interpolate parking availability. Investigated interpolation methods show significantly better results than random guess. Inverse distance weighting method outperforms a simple averaging by up to 5%.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 73 54.89%
2 image of flag of United States United States 15 11.28%
3 image of flag of China China 14 10.53%
4 image of flag of Taiwan Taiwan 6 4.51%
5 image of flag of Philippines Philippines 4 3.01%
6 image of flag of Korea, Republic of Korea, Republic of 3 2.26%
7 image of flag of Spain Spain 3 2.26%
8 image of flag of Netherlands Netherlands 2 1.50%
9 image of flag of Hungary Hungary 2 1.50%
10 image of flag of Italy Italy 1 0.75%
    other countries 10 7.52%

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