Fuzzy Control and Simulation of the Traffic Signals at the Grade Crossings
On the base of analyzing the control problem for the traffic signals at the grade crossings, a multi-phase and multi-stage fuzzy control plan is presented according to the vehicle induction control theory and fuzzy control theory. The simulation results show that the proposed method is superior to the multi-phase static period control.
This paper presents the different methods of measuring and quantifying costs of congestion for Canadian cities used to quantitatively assess these congestion mitigating strategies. The paper examines the positives and negatives of these processes, including the improved ability to link planning, operational and design decisions. The findings and results for the various strategies are then documented in terms of the fiscal analysis and business cases. One such case is the application of these models to the intersection of Highway 7 and Keele Street. The intersection routinely experiences congestion for substantial portions of the day. The study identifies and evaluated over a dozen congestion mitigating strategies for the area.