This paper describes a system for Traffic Event Response and Management for Intelligent Navigation Utilizing Signals (TERMINUS) developed at Georgia Tech for adaptively managing special event traffic flows in the Atlanta area. TERMINUS is an intelligent surface street signal control system designed to manage traffic flow in Metro Atlanta. The system consists of three components. The first is a traffic simulation of the downtown Atlanta area around Fulton County Stadium that models the flow of traffic when a stadium event lets out. Parameters for the surrounding area include modeling for events during various times of day (such as rush hour). The second component is a computer graphics interface with the simulation that shows the traffic flows achieved based upon intelligent control system execution. The final component is the intelligent control system that manages surface street light signals based upon feedback from control sensors that dynamically adapt the intelligent controller's decision making process. The intelligent controller is a neural network model that allows TERMINUS to control the configuration of surface street signals to optimize the flow of traffic away from special events.
A neural network system for traffic flow management
Ein neuronales Netz für die Verkehrsablaufverwaltung
1992
14 Seiten, 5 Bilder, 15 Quellen
Conference paper
English
Traffic flow prediction using neural network
IEEE | 2018
|Traffic management system applying deep neural network to intelligent traffic
European Patent Office | 2021
|A Neural Network Traffic Flow Model for Heavy Traffic Conditions
British Library Conference Proceedings | 1998
|TRAFFIC FLOW MANAGEMENT SYSTEM AND TRAFFIC FLOW MANAGEMENT METHOD
European Patent Office | 2019
|