Mapping Parking Spaces Using Crowd-Sourced Trajectories

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).