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.
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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”.
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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
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DOI: https://doi.org/10.1007/978-3-319-90893-9_39
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