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Title:

A Framework for Efficient Data Collection and Modeling of Indoor Parking Facilities Under Constraints

Accession Number:

01628714

Record Type:

Component

Abstract:

Traffic simulation is a mature field, with several decades of development. While many mainstream aspects can be assumed to be at a level where most challenges have been overcome, there are still edge cases that are not adequately covered. For example, traffic simulation of mixed networks in conditions close to exceeding capacity or in emergency cases is still a challenge. Furthermore, research for parking simulation is also limited. This research aims at the efficient traffic management of large-scale parking facilities and depots (for either passenger vehicles or commercial fleets) under constraints. These constraints include specific conditions such as near-capacity demand, temporally concentrated arrivals/departures and need for emergency evacuation. An integrated methodological framework is analyzed and then the emphasis is placed on the localization of vehicles under these conditions using a combination of state-of-the-art technologies. A case study is implemented to test the feasibility of the proposed technologies incuding smart-phone accelerometers, radio frequency identification technology, high-sensitivity global navigation satellite system (GNSS) receivers and Ultra-wideband technology. Then, an experiment was conducted in a large-scale parking facility, including vehicle positioning in indoor, outdoor and hybrid envrironments. This information is used as input for a simulation-based evacuation analysis of a large parking facility in Athens, Greece. The evaluation of four evacuation scenarios suggests that considerable benefits can be obtained by suitable emergency response strategies.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ50 Standing Committee on Information Systems and Technology. Alternate title: Framework for Efficient Data Collection and Modeling of Indoor Parking Facilities Under Constraints

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03269

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Antoniou, Constantinos
Gikas, Vassilis
Papathanasopoulou, Vasileia
Mpimis, Thanassis
Perakis, Harris
Kyriazis, Constantine

Pagination:

20p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Geographic Terms:

Athens (Greece)

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Security and Emergencies; Terminals and Facilities

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03269

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:13AM