Sensing Occupancy through Software: Smart Parking Proof of Concept

Smart Environments for Occupancy Sensing and Services

The term smart environment refers to a physical space enriched with sensors and computational entities that are seamlessly and invisibly interwoven. A challenge in smart environments is to identify the location of users and physical objects. A smart environment provides location-dependent services by utilizing obtained locations. In many cases, estimating location depends on received signal str...

Estimating Parking Spot Occupancy

Whether or not a car occupies a given parking spot at a given time can be modeled as a random variable. By looking at a parking lot as a collection of these random variables, we create a spatial random process. In this paper, we will consider factors that affect the probability and distribution of occupancy in a parking lot. We then create a simplified model accounting for some of the more regu...

Fusing Sensors for Occupancy Sensing in Smart Buildings

Nutzenpotenziale von Smart Parking

Intelligentes Parken – „Smart Parking“ – verspricht eine effiziente Organisation des ruhenden Verkehrs und bildet eine konkrete Applikation im Rahmen des Konzepts Smart City. Die vielfältigen Auswirkungen des Einsatzes analysiert dieser Beitrag. Anhand der Ziele verschiedener Akteure und der Funktionen von Smart Parking Systemen wird der Nutzen abgeleitet und mit Erfahrungen von Pilotinstallati...

Parking Occupancy Prediction and Pattern Analysis

Finding a parking space in San Francisco City Area is really a headache issue. We try to find a reliable way to give parking information by prediction. We reveals the effect of aggregation on prediction for parking occupancy in San Francisco. Different empirical aggregation levels are tested with several prediction models. Moreover it proposes a sufficient condition leading to prediction error ...