It is often frustrating for drivers

It is often frustrating for drivers to find parking spaces, and parking itself is costly in almost every majorcity in the world. Here we propose a crowdsourcing solution by exploiting sensors in smart-phones tocollect real-time parking availability information. We design a phone-based system to track a driver'strajectory to detect when they are about to leave their parking spot. We focus on the efficiency and accuracyof using a phone to monitor the driver's walking trajectory, applying a waist-mounted PDR methodthat can measure the driver's moving distance with a high accuracy. In addition, we design a map matchingalgorithm to calibrate the direction errors when the driver is in an indoor environment, using widelyavailablebuilding floor plans. The results of our experiment show that we can achieve about 98%accuracy in estimating the user's walking distance, with an overall location error of about 0.48 m.

It is often frustrating for Drivers to Find parking Spaces, and parking is Costly Itself in Almost Every Major
City in The World. Here we Propose a crowdsourcing Solution by exploiting Sensors in Smart-phones to
collect Real-time parking availability information. We Design a Phone-based System to Track a Driver's
trajectory to Detect When they are About to leave their parking Spot. Focus on efficiency and we The accuracy
of using a Phone to Monitor Driver's The Walking trajectory, applying a waist-Mounted PDR Method
Can measure that The Driver's Moving Distance with a High accuracy. In addition, we Design a Map Matching
algorithm to Calibrate The Direction Errors When The Driver is in an Indoor Environment, using Widelyavailable
Building floor plans. The results of our show that we Experiment About Can Achieve 98%
accuracy in Estimating The user's Walking Distance, with an Overall Location Error of About twelve forty-eight a.m. m.

It is often frustrating for drivers to find parking spaces and parking, itself is costly in almost every major
city in. The world. Here we propose a crowdsourcing solution by exploiting sensors in smart-phones to
collect real-time parking availability. Information. We design a phone-based system to track a driver 's
trajectory to detect when they are about to leave their. Parking spot.We focus on the efficiency and accuracy
of using a phone to monitor the driver ', s walking trajectory applying a waist-mounted. PDR method
that can measure the driver 's moving distance with a high accuracy. In addition we design, a map matching
algorithm. To calibrate the direction errors when the driver is in an, indoor environment using widelyavailable
building floor plans.The results of our experiment show that we can achieve about 98%
accuracy in estimating the user ', s walking distance with. An overall location error of about 0.48 m.