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Automated parking-cruising detection and measurement using Bluetooth AVI Sensor network

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT5717C10021
Agency Tracking Number: 142FH2008II
Amount: $1,000,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 142FH2
Solicitation Number: DTRT5714RSBIR2
Timeline
Solicitation Year: 2014
Award Year: 2017
Award Start Date (Proposal Award Date): 2016-10-19
Award End Date (Contract End Date): 2018-10-18
Small Business Information
362 Guys Run Road, Cheswick, PA, 15024-4300
DUNS: 792306966
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Gregory Barlow
 Chief Technology Officer
 (412) 491-7179
 gjb@rapidflowtech.com
Business Contact
 Stephen Smith
Title: Chief Executive Officer
Phone: (412) 414-8436
Email: sfs@rapidflowtech.com
Research Institution
N/A
Abstract
Searching for street parking, a behavior known as cruising for parking, leads to excess congestion and pollution. Many recent smart parking interventions have attempted to address this issue, but the problem of effectively detecting and measuring cruising remains largely unsolved. The goal of this work is to develop methods to detect and measure cruising for parking and its effects on congestion using dense, low cost networks of automatic vehicle identification (AVI) sensors combined with novel parking occupancy prediction. Bluetooth AVI sensors are widely used for travel time measurement on freeways and arterials, as most new vehicles contain Bluetooth devices that can be passively detected and tracked across multiple stationary sensors. We have extended these techniques to urban environments for vehicle route reconstruction and travel time measurement. Cruising routes are sufficiently distinct from normal travel routes, so we are developing a classifier to reliably classify vehicles as traveling or cruising. To strengthen the classifier, parking occupancy prediction based on payment events from parking kiosks will be correlated with reconstructed routes. This approach continuously measures cruising for parking, allowing the evaluation of dynamic parking pricing and other smart parking interventions. Large-scale pilot tests will be deployed to evaluate this approach.

* Information listed above is at the time of submission. *

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