Title |
Unlocking the smartphone's sensors for smart city parking |
ID_Doc |
40282 |
Authors |
Krieg, JG; Jakllari, G; Toma, H; Beylot, AL |
Title |
Unlocking the smartphone's sensors for smart city parking |
Year |
2018 |
Published |
|
DOI |
10.1016/j.pmcj.2017.12.002 |
Abstract |
Studies have shown that drivers often spend over 20 min cruising for parking in city centers, accounting for as much as 30% of the traffic congestion. In response, cities like San Francisco have deployed systems capable of providing drivers real-time parking availability information. However, such systems rely on specialized infrastructure whose installation and maintenance costs in the tens of millions of dollars, unaffordable for many cities. We present SmartPark, a system for real-time parking information that relaxes the requirement for specialized infrastructure, relying instead on the smartphone's sensors and the ubiquitous Wi-Fi and cellular infrastructure. To accomplish this, SmartPark addresses two major challenges, under the constraint of minimum impact on battery life: transportation mode detection and location matching. To minimize initial deployment cost and risk, SmartPark introduces an analytical approach for estimating parking availability even when only a small fraction of users adopt the application. We evaluate SmartPark using simulations and in the wild. Simulation results show that SmartPark, benefiting from as little as 20% adoption rate, can estimate parking availability with accuracy above 90%. Experimental results with the help of 12 volunteers show that SmartPark detects unparking events 97% of the time while triggering zero false positives. (c) 2017 Elsevier B.V. All rights reserved. |
Author Keywords |
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Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000425086400007 |
WoS Category |
Computer Science, Information Systems; Telecommunications |
Research Area |
Computer Science; Telecommunications |
PDF |
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