A neuro-fuzzy based approach to cooperative ramp metering (CROSBI ID 628365)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gregurić, Martin ; Ivanjko, Edouard ; Mandžuka, Sadko
engleski
A neuro-fuzzy based approach to cooperative ramp metering
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.
Cooperative ramp metering ; Neural networks ; Fuzzy logic ; intelligent speed adaptation
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Podaci o prilogu
54-59.
2015.
objavljeno
10.1109/ITSC.2015.17
Podaci o matičnoj publikaciji
Proceedings of 2015 IEEE 18th International Conference on Intelligent Transportation Systems
O’Conner, Lisa
Institute of Electrical and Electronics Engineers (IEEE)
978-1-4673-6595-6
2153-0009
2153-0017
Podaci o skupu
2015 IEEE 18th International Conference on Intelligent Transportation Systems
predavanje
15.09.2015-18.09.2015
Kanarski otoci, Španjolska
Povezanost rada
Elektrotehnika, Računarstvo, Tehnologija prometa i transport