Abstract
By analyzing the limitations of existing offset optimization models about coordinated signal systems and considering the random distribution of road travel speed, we obtain an offset optimization algorithm based on the multi-attribute decision-making method, in which road travel speed, delay, and queue length are considered. Finally, the algorithm is applied to a coordinated signal system and an analysis is conducted using SIMIO, a simulation tool. The results show that the optimized model improves the existing models for offset optimization of coordinated signal system.
Highlights
Signalized arterials carry a significant portion of traffic flow in urban traffic networks
The state of the research on offset optimization can be categorized into two types: the maximum green bandwidth method (MGBM) and the minimum delay method (MDM).[1]
The preference values of each offset scheme, expressed by a multiplicative judgment matrix, are given by decision makers according to operational results, which are related to the travel speed distribution
Summary
Signalized arterials carry a significant portion of traffic flow in urban traffic networks.
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