Intelligent Controlling Simulation of Traffic Flow in a Small City Network

Abstract

We propose a two dimensional probabilistic cellular automata for the description of traffic flow in a small city network composed of two intersections. The traffic in the network is controlled by a set of traffic lights which can be operated both in fixed-time and a traffic responsive manner. Vehicular dynamics is simulated and the total delay experienced by the traffic is evaluated within specified time intervals. We investigate both decentralized and centralized traffic responsive schemes and in particular discuss the implementation of the {\it green-wave} strategy. Our investigations prove that the network delay strongly depends on the signalisation strategy. We show that in some traffic conditions, the application of the green-wave scheme may destructively lead to the increment of the global delay.

8 pages, 10 eps figures, Revtex

References in corpus (4)

• Traffic and Related Self-Driven Many-Particle Systems
• Towards a realistic microscopic description of highway traffic
• Optimised Traffic Flow at a Single Intersection: Traffic Responsive signalisation
• A Statistical Approach to Vehicular Traffic

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• Intracellular transport driven by cytoskeletal motors: General mechanisms and defects
• Vehicular traffic flow at a non-signalised intersection
• Traffic flow on realistic road networks with adaptive traffic lights
• Operation Regimes and Slower-is-Faster-Effect in the Control of Traffic Intersections
• Transport on a Lattice with Dynamical Defects
• Traffic flow in a Manhattan-like urban system
• Vehicular traffic flow at an intersection with the possibility of turning
• Vehicular headways on signalized intersections: theory, models, and reality
• Biham-Middleton-Levine Traffic Model With Origin-Destination Trips