Automated low-cost and real-time truck parking information system.

Haghani, Ali; Farzinfard, Sina; Hamedi, Masoud; Ahdi, Farshad; Khandani, Mehdi Kalantari; University of Maryland (College Park, Md.)

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Automated low-cost and real-time truck parking information system.

2013-11-01
By Haghani, Ali ; Farzinfard, Sina ; Hamedi, Masoud ; ...

[PDF-7.12 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

English

Details You May Also Like

Details:

Creators:

Haghani, Ali ; Farzinfard, Sina ; Hamedi, Masoud ; Ahdi, Farshad ; Khandani, Mehdi Kalantari

Haghani, Ali ; Farzinfard, Sina ; Hamedi, Masoud ; Ahdi, Farshad ; Khandani, Mehdi Kalantari Less -
Corporate Creators:

University of Maryland (College Park, Md.)
Subject/TRT Terms:

[+]

Data Collection Data Processing Information Dissemination Magnetic Detectors Parking Facilities Real Time Information Sensors Trucks User Interfaces (Computer Science) Wireless Communication Systems
Publication/ Report Number:

MD-13- SP209B4M
Resource Type:

Tech Report
Geographical Coverage:

Maryland
Corporate Publisher:

Maryland. State Highway Administration. Office of Policy & Research
Abstract:

In this project an automated real-time parking information system was developed to improve

truck-parking safety through efficient gathering and disseminating information regarding the use

of existing parking capacity. The system consists of four main components: sensing, data

collection, data processing and user interface (UI). A pilot deployment was conducted on an

SHA’s truck parking facility located on I-95 northbound prior to MD 32. During the testing period

of January 6 through 14, 2013, 1,239 events were detected by the system. Each event refers to any

truck arrival or departure activity in a spot. The average overall detection error was 3.75 percent

and the maximum error was 5 percent. The error rate can potentially be reduced by using more

sensors at each spot and using repeaters to avoid signal blockages.

Unlike imagery based methods, magnetic truck detection is completely anonymous and thus

privacy of drivers is not compromised. It is also independent of parking layout. In addition to

providing real-time parking availability information to the truckers, analysis of historical data for

each spot and for the parking facility as a whole can reveal dynamics of events and facilitate

efficient operations.
Format:

PDF
Funding:

SP209B4M
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:60b4e5f304a9c459c17faec5c1cb84917251991e86aed8a7d3ae1b178b77957d
Download URL:

https://rosap.ntl.bts.gov/view/dot/26675/dot_26675_DS1.pdf
File Type:

No Additional Files

More +

Automated low-cost and real-time truck parking information system.

Details:

Supporting Files

You May Also Like