Commercial vehicle pre-clearance programs: Current issues and recommendations for potential implementation

Lee, Jinwoo; Jaeckel, Kristin; Choi, Keechoo; Chow, Garland

doi:10.1016/j.tranpol.2012.12.004

Cited by 3 publications

(1 citation statement)

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“…Those systems provide solutions for cooperation and reliable platform for transport. Major areas of ITS in metropolitan deployments are Arterial and Freeway Management [ 1 , 2 ], Freight Management [ 3 , 4 ], Transit Management Systems [ 5 , 6 ], Incident and Emergency Management Systems [ 7 , 8 , 9 ], Regional Multimodal and Traveler Information Systems [ 10 , 11 ]. Some applications of ITS are: Electronic Toll Collection [ 12 , 13 ], Highway Data Collection [ 14 , 15 ], Emergency Vehicle Preemption [ 16 ], Traffic Management Systems [ 17 ], Transit Signal Priority [ 18 ], Vehicle Data Collection [ 19 ], etc.…”

Section: Introductionmentioning

confidence: 99%

Ontology-Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network

Fernández

Hadfi

Ito

et al. 2016

Sensors

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Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element for the success of these systems is the exchange of information, not only between vehicles, but also among other components in the road infrastructure through different applications. One of the most important information sources in this kind of systems is sensors. Sensors can be within vehicles or as part of the infrastructure, such as bridges, roads or traffic signs. Sensors can provide information related to weather conditions and traffic situation, which is useful to improve the driving process. To facilitate the exchange of information between the different applications that use sensor data, a common framework of knowledge is needed to allow interoperability. In this paper an ontology-driven architecture to improve the driving environment through a traffic sensor network is proposed. The system performs different tasks automatically to increase driver safety and comfort using the information provided by the sensors.

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