Napredna pretraga

Pregled bibliografske jedinice broj: 936621

Cooperative Ramp Metering for Urban Motorways based on Machine Learning


Gregurić, Martin
Cooperative Ramp Metering for Urban Motorways based on Machine Learning 2018., doktorska disertacija, Fakultet prometnih znanosti, Zagreb


Naslov
Cooperative Ramp Metering for Urban Motorways based on Machine Learning

Autori
Gregurić, Martin

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, doktorska disertacija

Fakultet
Fakultet prometnih znanosti

Mjesto
Zagreb

Datum
24.04

Godina
2018

Stranica
163

Mentor
Mandžuka, Sadko ; Ivanjko, Edouard

Ključne riječi
cooperative control ; ramp metering ; variable speed limit control ; urban motorways ; adaptive neuro fuzzy inference systems ; recurrent neural network ; learning dataset

Sažetak
To cope with today’s problems with congestions in urban motorways and the inability to expand their capacity in an urban environment, new solutions in the form of advanced control methods on the existing road infrastructure are applied. Such solutions are part of Intelligent Transportation Systems (ITS). ITS essentially integrates information and communication technologies in order to resolve mentioned congestion problems. Often used ITS based traffic control methods on urban motorways are ramp metering (RM) and variable speed limit control (VSLC). A dedicated algorithm for RM or VSLC uses sensed data form urban motorway to compute actions that will make a positive impact on traffic flows. This study will place focus on cooperative approach between RM and VSLC, and integration of several different RM algorithms into the one algorithm – INTEGRA. Mentioned algorithm is created by using adaptive neuro- fuzzy inference system (ANFIS) as the one of machine learning techniques. INTGERA is furthermore expanded in other to integrate its original functionality with recurrent neural network for traffic demand prediction. As the final step, evaluation of different criteria function setups for learning data set design based on which ANFIS neural network of INTEGRA is learned, is presented and compared with previously mentioned approaches. Results of all mentioned approaches will be compared and discussed in relation with other commonly used urban motorway control methods.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Sadko Mandžuka (mentor)

Avatar Url Edouard Ivanjko (mentor)

Avatar Url Martin Gregurić (autor)

Citiraj ovu publikaciju

Gregurić, Martin
Cooperative Ramp Metering for Urban Motorways based on Machine Learning 2018., doktorska disertacija, Fakultet prometnih znanosti, Zagreb
Gregurić, M. (2018) 'Cooperative Ramp Metering for Urban Motorways based on Machine Learning', doktorska disertacija, Fakultet prometnih znanosti, Zagreb.
@phdthesis{phdthesis, author = {Greguri\'{c}, M.}, year = {2018}, pages = {163}, keywords = {cooperative control, ramp metering, variable speed limit control, urban motorways, adaptive neuro fuzzy inference systems, recurrent neural network, learning dataset}, title = {Cooperative Ramp Metering for Urban Motorways based on Machine Learning}, keyword = {cooperative control, ramp metering, variable speed limit control, urban motorways, adaptive neuro fuzzy inference systems, recurrent neural network, learning dataset}, publisherplace = {Zagreb} }