Details:

Creators:
Bayraktar, Mehmet Emre ; Zhu, Yimin ; Arif, Farrukh
Bayraktar, Mehmet Emre ; Zhu, Yimin ; Arif, Farrukh Less -
Corporate Creators:
Florida International University
Subject/TRT Terms:
[+]
Commercial Vehicles Data Collection Parking Facilities Pilot Studies Roadside Rest Areas Trucks Vehicle Detectors Weigh Stations
Resource Type:
Tech Report
Geographical Coverage:
Florida
Edition:
Final report.
Corporate Publisher:
Florida Department of Transportation
Abstract:
The major objectives of this research included: i) to determine trends for truck parking at public rest areas

throughout Florida and ii) to develop a suitable smart parking management system for commercial motor

vehicles and conduct a pilot project. The data collection efforts over the course of this research enabled the

research team to determine the level of truck parking capacity problem experienced at each rest area in

Florida. This information was used to divide the rest areas into three categories, low, medium, and high,

based on the “level of truck parking capacity problem,” and depicted the rest areas on a color-coded map for

I-10, I-75, and I-95; green was used for a low parking capacity problem, yellow for a medium parking

capacity problem, and red for a high parking capacity problem. This research also included an assessment of

technology that can be used to improve truck parking management at rest areas in Florida and deployment of

a pilot project to test implementation. The vehicle detection technology chosen for the pilot project at the

Leon County rest areas (eastbound and westbound) on I-10 features wireless ground sensors, which detect

the presence of a vehicle as it comes to a stop above it. Over the course of this research, various software

tools were developed to complement the wireless vehicle detection system described above, including a GIS

mapping application, a report generation module, and an occupancy prediction model.


Format:
PDF
Funding:
BDK80 977-14
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:348842a0e33f8d8c7ff5fb474c82ca9fbd1500c57a8658d2c248124e6c1886fb
Download URL:
https://rosap.ntl.bts.gov/view/dot/25503/dot_25503_DS1.pdf
File Type:

Supporting Files

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