Establishing an intelligent transportation systems (ITS) lab at LTRC.
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2008-09-30
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Edition:Final report; 07/01/07-12/31/08.
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Abstract:The primary goal of this research project is to lay the foundation for establishing a state-of-the-art Intelligent Transportation Systems (ITS) ; lab at the Louisiana Transportation Research Center (LTRC), where data will be collected, analyzed, and reported as part of the ITS effort in ; Louisiana. The ITS lab is envisioned to serve as a central repository for traffic data collected in the state of Louisiana. The data will be ; transformed into useful information that is instrumental to procedures and applications that benefit the Department of Transportation and ; Development (DOTD), the local government, and the general public. The lab is also anticipated to be a tool to retain, recruit, and inspire ; interest in the field of advanced traffic management systems for students in Louisiana as well as potential graduate students from outside ; Louisiana. ; In this project, the research team highlighted the importance of ITS data and the significant efforts made by several state agencies and ; universities in the past few years to establish similar robust data archival systems and make them available to stakeholders. Several ; universities followed suit and established their own ITS labs to collect data to support their research needs. Examples were found in state ; universities such as Portland State University, University of California at Irvine, Florida International University, Washington State ; University, etc. Based on a thorough review and assessment of the existing hardware and communication infrastructure at the designated ; location of the lab, several recommendations for hardware upgrades and software acquisition were identified. The project also identified the ; necessary equipment and cost to build the lab. Moreover, to properly and securely maintain the continuous operation of the ITS lab, a set of ; policies were recommended for the ITS lab users/operators. ; As a proof of concept, the research team was successful in setting up an automated procedure to stream traffic data in real time from Baton ; Rouge Advanced Traffic Management Center (ATMC) to LTRC every 30 seconds from a total of 62 detectors along the corridors of I-10, I- ; 12, and I-110 in the Baton Rouge area. Other data sources were also identified and include the southern region of Louisiana, which is ; currently monitored by the ECONOLITE Data Collection and Management System (DCMS). Another viable data source that was identified ; are weigh-in-motion (WIM) stations used throughout Louisiana for truck weight enforcement. ; During the course of this project, the research team identified several applications that can be supported by the ITS data to be collected at the ; lab. Such applications include, but are not limited to, highway incident detection and management, travel time estimation and prediction, ; work zone management, ramp metering, crash analysis, new concepts such as managed lanes and congestion pricing, highway breakdown ; and recovery analysis, traffic signal optimization, calibration of microscopic simulation models, implementation of new pavement design ; procedures, and others.
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Main Document Checksum:urn:sha-512:bad8392119169c6c33295d5a18221f0d9ef80d83890082a7ffd1f0666c075e28c0100678a2ba3c9c7e4a8ccaaa8416ac2d7588955bad032203632d30a78d4997