Pregled bibliografske jedinice broj: 781471
A neuro-fuzzy based approach to cooperative ramp metering
A neuro-fuzzy based approach to cooperative ramp metering // Proceedings of 2015 IEEE 18th International Conference on Intelligent Transportation Systems / O’Conner, Lisa (ur.).
Kanarski otoci, Španjolska: Institute of Electrical and Electronics Engineers (IEEE), 2015. str. 54-59 doi:10.1109/ITSC.2015.17 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
A neuro-fuzzy based approach to cooperative ramp
metering
Autori
Gregurić, Martin ; Ivanjko, Edouard ; Mandžuka, Sadko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2015 IEEE 18th International Conference on Intelligent Transportation Systems
/ O’Conner, Lisa - : Institute of Electrical and Electronics Engineers (IEEE), 2015, 54-59
ISBN
978-1-4673-6595-6
Skup
2015 IEEE 18th International Conference on Intelligent Transportation Systems
Mjesto i datum
Kanarski otoci, Španjolska, 15.09.2015. - 18.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cooperative ramp metering ; Neural networks ; Fuzzy logic ; intelligent speed adaptation
Sažetak
To solve today’s road traffic congestion problems new solutions in the form of advanced control approaches of existing road infrastructure. Such solutions are from the domain of intelligent transportation systems and include various services. Technologies such as advanced driver assistant systems, and communication between vehicles and the road infrastructure are enabling new possibilities in traffic control. Vehicles can obtain a control input from the traffic management system and become an actuator ensuring that the driver complies to the traffic control system. In this paper, a concept of possible automatic vehicle control in cooperation with neuro-fuzzy based urban highway control systems (ramp metering and variable speed limit control) is described. Implemented urban highway control systems are tested using the CTMSIM simulator assuming that all vehicles support automatic vehicle control.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
EK-FP7-317671 - Intelligent Cooperative Sensing for Improved traffic efficiency (ICSI) (Mandžuka, Sadko, EK - FP7-ICT-2011-8) ( CroRIS)
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus