Title: Mapping Parking Spaces Using Crowd-Sourced Trajectories
Authors: Dey, Subhrasankha 
Goel, Salil 
Tomko, Martin 
Winter, Stephan 
Editors: Winter, Stephan 
Goel, Salil 
Issue Date: Jul-2021
Book Title: Smart Parking in Fast-Growing Cities 
Abstract: 
Mapping urban parking spaces helps drivers to reduce their search and cruising for parking, thus
reducing traffic, reducing emissions, and reducing total travel times. Mapped urban parking spaces
can also be monitored for real-time occupancy information. But while many cities in Asia, Africa,
and Latin America are experiencing a strong increase of private car use on the roads, they typically
lack such reliable information regarding on-street parking spaces. Hence, in this chapter we explore
globally applicable mapping methods for on-street parking locations, as a first step towards smart
parking (for an alternative approach see Chapter 11).
Keywords: parking space; parking lot; mapping; trajectory
DOI: 10.34727/2021/isbn.978-3-85448-045-7_13
URI: http://hdl.handle.net/20.500.12708/18080
https://doi.org/10.34727/2021/isbn.978-3-85448-045-7_13
Organisation: E120 - Department für Geodäsie und Geoinformation 
License: CC BY-SA 4.0 CC BY-SA 4.0
Publication Type: Book Contribution
Buchbeitrag
Appears in Collections:Book Contribution

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