Title :
A neuro-fuzzy algorithm for coordinated traffic responsive ramp metering
Author :
Bogenberger, Klaus ; Keller, Hartmut ; Vukanovic, Svetlana
Author_Institution :
Fachgebiet Verkehrstechnik und Verkehrsplanung, Munich Univ. of Technol., Germany
Abstract :
This paper proposes a nonlinear approach for designing traffic responsive and coordinated ramp control using a self adapting fuzzy system. An adaptive neuro-fuzzy inference system (ANFIS) is used to incorporate a hybrid learning procedure into the control system. The traffic responsive metering rate is determined in every minute by the neuro-fuzzy control algorithm. Coordination between multiple on-ramps is ensured by the integration of a common input into all ramp controllers upstream of a bottleneck and a periodical update of the fuzzy control system in every 15 min. by a hybrid learning procedure. The objective of the online tuning process of the fuzzy parameters is to minimize the total time spent in the system. Therefore, Payne´s traffic flow model and a deterministic queuing model are integrated into the control architecture To assess the impacts of the neuro-fuzzy ramp metering algorithm a section of 25 km of the A9 Autobahn was simulated with the FREQ model and compared with two other control scenarios. The results of the simulation of the neuro-fuzzy algorithm are very promising and an implementation of the neuro-fuzzy ramp metering system on a Munich middle ring road within the MOBINET project is planned
Keywords :
adaptive control; fuzzy control; inference mechanisms; learning (artificial intelligence); neurocontrollers; queueing theory; road traffic; traffic control; Payne traffic flow model; adaptive neural fuzzy inference system; coordinated ramp control; deterministic queuing model; fuzzy control; learning procedure; neurocontrol; online tuning; road traffic control; traffic ramp metering; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy systems; Inference algorithms; Nonlinear control systems; Programmable control; Roads; Traffic control;
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
DOI :
10.1109/ITSC.2001.948636