2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) 2017
DOI: 10.1109/isspit.2017.8388655
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A DSS model for IoT-based intelligent transportation systems

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Cited by 10 publications
(3 citation statements)
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“…In the same line as discussed above and around business-oriented modeling, the works Qureshi and Abdullah (2013) and Garofalaki et al (2017) propose to use appropriate mechanisms for a scenario where data are interacted and exchanged in real time, such as autonomous vehicles, traffic sensors and smart route marking.…”
Section: Dynamic Process: Context-aware and Process-awarementioning
confidence: 99%
“…In the same line as discussed above and around business-oriented modeling, the works Qureshi and Abdullah (2013) and Garofalaki et al (2017) propose to use appropriate mechanisms for a scenario where data are interacted and exchanged in real time, such as autonomous vehicles, traffic sensors and smart route marking.…”
Section: Dynamic Process: Context-aware and Process-awarementioning
confidence: 99%
“…Modern information technologies such as electronic data interchange, global positioning systems, geographic information systems, and decision support systems have been widely adopted in transportation (34)(35)(36)(37). Barriers still occur in relation to how accessible these information systems are to each transport sector and, at the moment, socalled ''isolated information islands'' are the norm.…”
Section: Fragmented Information Systemmentioning
confidence: 99%
“…Many access networks may exist using various wired or wireless technologies, while new service providers can enter and exit the market every day. Innovative or new solutions are needed regarding cross-domain policy enforcement to achieve easier management and higher security of QoS-enabled services [2].…”
Section: Introductionmentioning
confidence: 99%