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A New Spectrum Management Scheme for Road Safety in Smart Cities
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers, 2018.
-
Abstract
- Traffic management in roads is one of the major challenges faced in developing efficient intelligent transportation systems. Recently, wireless networks have received significant attention for tackling this challenge. However, wireless technologies face the well-known spectrum scarcity problem due to the explosive demand for radio resources. To overcome this challenge, this study presents a novel intelligent traffic control system, utilizing the unused spectrum. Unlike existing works, the spectrum owners in this study hire free spectrum to drivers. The hired spectrum is deployed to build a short-range cost-effective wireless communication for monitoring traffic and enabling drivers to exchange warning messages, and thus enhancing road safety. Our objectives include minimizing crash probability, utilizing unused spectrum, and enabling spectrum owners to generate extra revenue. Numerical analysis demonstrates the capability of our approach to minimize the crash probability among vehicles under different operating road conditions.
- Subjects :
- Scheme (programming language)
Intelligent transportation systems, Dynamic spectrum access, Road traffic control, Crash probability, Wireless mesh networks
621.3821 Communications networks
Computer science
QA75 Electronic computers. Computer science
Crash
02 engineering and technology
Spectrum management
Open spectrum
0203 mechanical engineering
0202 electrical engineering, electronic engineering, information engineering
Centre for Distributed Computing, Networking and Security
Wireless
Revenue
Intelligent transportation system
computer.programming_language
Wireless network
business.industry
Mechanical Engineering
020302 automobile design & engineering
020206 networking & telecommunications
Computer Science Applications
AI and Technologies
Automotive Engineering
Networks
Telecommunications
business
computer
Smart cities
Subjects
Details
- Language :
- English
- ISSN :
- 15249050 and 15580016
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....5178ee79685a19f8e25231c29997811d