Intersection Analysis Using the Ideal Flow Model

• Main Authors: Teknomo, Kardi, Gardon, Roselle Wednesday
• Format: text
• Published: Archīum Ateneo 2017
• Subjects: Matrix converters; Probability distribution; Capacity planning; Roads; Stochastic processes; Computational modeling; Analytical models; Computer Sciences; Databases and Information Systems; Transportation
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/267; https://ieeexplore.ieee.org/document/8317739
• Institution: Ateneo De Manila University

The optimization of traffic flow capacity utilization in an intersection often relies on historical traffic flow demand. Instead of relying on traffic demand, a novel model, called the ideal flow model, aids in this optimization by making use of traffic supply information. The model offers a unique approach to analyzing intersection capacity since it utilizes the network structure as well as the transition probability of a random walk or using Markov chain, as an alternative to the information that an OD matrix provides. In this paper, the ideal flow model is used to analyze a crossing type intersection. It investigates the steady state solution when the total flow is maximized and when the design of an intersection is optimum. Three clusters emerged from the simulations performed, and all three clusters depend on the ratio of the total inflow capacity to the total outflow capacity. The optimum design of the intersection is attained when the total inflow capacity is the same as the total outflow capacity. In this case, the total flow accommodated by the intersection reaches its maximum value.