Title :
T.R.A.F.F.I.C.: Transit response analysis for facilitating informed commuters
Author :
Thomas, Donna ; Lawrence, Justin ; Rettig, Jacob
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland Baltimore County, Baltimore, MD, USA
Abstract :
T.R.A.F.F.I.C is an acronym representing Transit Response Analysis for Facilitating Informed Commuters. T.R.A.F.F.I.C. is a web service hosted in the cloud which uses real-time Big Data from TRANSCOM, a non-profit firm. We are mining for potential congested traffic patterns which may impair one´s timely commute during rush hour. T.R.A.F.F.I.C is based on the service-oriented architecture (SOA) web service technology. The project description, system design, key technical challenges, lessons learned and related works are discussed in this paper. The content in this paper not only gives a case study for SOA, but also provides a new and effective solution for end-users of Intelligent Transportation Services (ITS) solutions.
Keywords :
Big Data; Web services; cloud computing; graphical user interfaces; intelligent transportation systems; service-oriented architecture; ITS solutions; SOA; T-R-A-F-F-I-C; TRANSCOM; Web service; facilitating informed commuter; intelligent transportation service solutions; nonprofit firm; real-time Big Data; service-oriented architecture; transit response analysis; Authentication; Servers; Simple object access protocol; Transportation; ADA; Alerts; Big Data; Congestion; HBASE; Hadoop; ITS; Intelligent Transportation Systems; MapReduce; SOA; SOC; Service-Oriented Architecture; Service-Oriented Computing; T.R.A.F.F.I.C.; TRANSCOM; Traffic; Transit; Transportation; UMBC; W3C; WS-I; open architecture; web service;
Conference_Titel :
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location :
Anaheim, CA
DOI :
10.1109/ICOSC.2015.7050856
