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TRANSYT traffic engineering program efficiency improvement via Fibonacci search
Institution:1. Institute of Logistics Engineering, Graz University of Technology, Inffeldgasse, 25/E, 8010 Graz, Austria;2. Production Management, Cottbus University of Technology, Siemens-Halske-Ring, 6, 03046 Cottbus, Germany;1. The Ohio State University, Joint Appointment with the Department of Civil, Environmental, and Geodetic Engineering, and the Department of Electrical and Computer Engineering, Hitchcock Hall 470, 2070 Neil Ave, Columbus, OH 43210, USA;2. The Ohio State University, Department of Electrical and Computer Engineering, USA;1. Department of Information, Logistics and Innovation, VU University Amsterdam, The Netherlands;2. Black School of Business, Penn State Erie, The Behrend College, Erie, PA 16563, United States;3. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
Abstract:TRANSYT is a widely-used traffic model developed in Great Britain. Its purpose is to study the traffic behavior of, and to optimize the signal timings of, a network of coordinated signalized intersections. An important subroutine of TRANSYT is an iterative minimization search procedure based on the so-called “hill climbing” strategy. It attempts to minimize a performance index (a weighted combination of stops and delay) by varying the phase lengths and offsets of each signal. The purpose of this paper is to explain how another search procedure, a modification of Fibonacci search, can be used in place of the hill climbing procedure. This results in a significant improvement in TRANSYT, both in terms of the performance index and computational time.
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