Abstract
Reduced Level of Service on urban motorways, which actually represents evolved urban bypasses, is the product of two overlapping problems. First of them is related to the heavy congestions, and the second one is related to the unavailable constructional build-up of their capacities since they are surrounded by the urban and traffic infrastructure. In order to cope with those problems, it is necessary to introduce urban motorway control methods such as for example ramp metering (RM). The main goal of RM is to increase the throughput of urban motorways by restricting access of on-ramp traffic to mainstream traffic by using special traffic lights. In this paper, an overview of currently most used RM algorithms (ALINEA, SWARM, and HELPER) and their fundamental deficiency in partial problem solving for different traffic scenarios is given. A new RM algorithm based on the Adaptive Neuro-Fuzzy System neural network called INTEGRA is also described.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mandžuka, S., Žura, M., Horvat, B., Bićanić, D., Mitsakis, E.: Directives of the European Union on Intelligent Transport Systems and their impact on the Republic of Croatia. Promet-Traffic Transp. 25(3), 273–283 (2013)
Mandžuka, S., Horvat, B., Škorput, P.: Development of ITS in Republic of Croatia. In: Proceedings of 19th ITS World Congress, ERTICO, Wien (2012)
Gregurić, M., Ivanjko, E., Mandžuka, S.: The use of cooperative approach in ramp metering. Promet-Traffic Transp. 28(1), 11–22 (2016)
Papageorgiou, M., Diakaki, C., Dinopoulou, V., Kotsialos, A., Wang, Y.: Review of road traffic control strategies. Proc. IEEE 91(12), 2043–2067 (2003)
Gregurić, M., Ivanjko, E., Mandžuka, E.: Cooperative ramp metering simulation. In: 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, pp. 970–975 (2014)
Gregurić, M., Ivanjko, E., Mandžuka, S.: A neuro-fuzzy based approach to cooperative ramp metering. In: Proceedings of the 18th IEEE ITSC, Las Palmas, Spain, pp. 54–59 (2015)
Zhang, M., Kim, T., Nie, X., Jin, W.: Evaluation of On-ramp Control Algorithms, California PATH Program - Research Report UCB-ITS-PRR-2001-36, University of California, Berkeley (2001)
Wei, C.H.: Analysis of artificial neural network models for freeway ramp metering control. Artif. Intell. Eng. 15(3), 241–252 (2001)
Treiber, M., Kesting, A.: Traffic Flow Dynamics. Springer Science Business Media, Heidelberg (2013)
Feng, C., Yuanhua, J., Jian, L., Huixin, Y., Zhonghai, N.: Design of fuzzy neural network control method for ramp metering. In: Proceedings of the 3rd ICMTMA IEEE, 6–7 January, Shanghai, China (2011)
Acknowledgment
The research presented in this paper is supported with University of Zagreb Programme funds Support for scientific and artistic research (2017) through the project: “Cooperative Systems for Traffic Control”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Gregurić, M., Mandžuka, S., Ivanjko, E. (2019). Ramp Metering on Urban Motorways. In: Karabegović, I. (eds) New Technologies, Development and Application. NT 2018. Lecture Notes in Networks and Systems, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-90893-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-319-90893-9_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-90892-2
Online ISBN: 978-3-319-90893-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)