Project Title:
    Wireless Parking Lot Data Collection System 

Abstract:
     In Toronto alone over one million cars hit the street every day. Of those
     million, it is reasonable to assume that almost all of them will need a place
     to work. Most traditional parking lots are run with a paid attendatn, toll
     booth, pre-paid tag system, or with no monitoring at all. Although these
     systems may cover some of the financial aspects of parking lot management,
     they do little to provide up to the minute, accurate parking lot data.
     The objective of this project was to develop a parking lot data collection
     system that allows users and administrators to easily and quickly view
     parking lot statistical data so that it may be analyzed for efficient lot
     management and design.

Faculty advisor(s):
    Shawki Areibi

Students:
 Mike Kay
 Mike Sewell
 Andrew Barker