The research of parking guidance and information system based on dedicated short range communication

Zhong, Huiling; Xu, Juan; Yu, Tu; Yu-cong, Hu; Sun, Jifeng

doi:10.1109/itsc.2003.1252671

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…Some applications may help occupants even after they leave their vehicles, e.g. in the case of drivers using data to locate a parked vehicle [124]. Increasingly, convenience services are beginning to include actuation, e.g.…”

Section: B V2v and V2i Applicationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

352

176

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This paper summarizes the state of the art in connected vehicles-from the need for vehicle data and applications thereof, to enabling technologies, challenges, and identified opportunities. Connectivity is increasing around the world and its expansion to vehicles is no exception. With improvements in connectivity, sensing, and computation, the future will see vehicles used as development platforms capable of generating rich data, acting based on inference, and effecting great change in transportation, the human-vehicle dynamic, the environment, and the economy. Connected vehicle technologies have already been used to improve fleet safety and efficiency, with emerging technologies additionally allowing data to be used to inform aspects of vehicle design, ownership, and use. While the demand for connected vehicles and its enabling technology has progressed significantly in recent years, there remain challenges to connected and collaborative vehicle application deployment before the full potential of connected cars may be realized. From extensibility and scalability to privacy and security, this paper informs the reader about key enabling technologies, opportunities, and challenges in the connected vehicle landscape.

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Section: B V2v and V2i Applicationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

352

176

View full text Add to dashboard Cite

show abstract

“…The components of Business Components layer are composed of various EJB. They use the services of application server, handle the request of user, operate with the data service layer if needed, and return the result [3] .…”

Section: Fig 3 Distributed Model Of Systemmentioning

confidence: 99%

Design and Simulation of Distributed Vehicle Monitoring System Based on WebGIS

Yuan

Zhang

2010

AMM

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In this paper, a method is presented for designing the distributed vehicle monitoring system based on WebGIS, and also several important problems in system realization are discussed. On the basis of the software of MapXtreme for Java and the J2EE distributed three-layer model, the system is redeveloped with programming language of JSP and JBuilder, Tomcat and Jboss. Experiment and simulation results show that this system has good performance on vehicle monitoring and vehicle dispatch.

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Parking Information Systems

Assemi

Baker

2021

International Encyclopedia of Transportation

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The research of parking guidance and information system based on dedicated short range communication

Cited by 5 publications

References 4 publications

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Design and Simulation of Distributed Vehicle Monitoring System Based on WebGIS

Parking Information Systems

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