Lane-Based Saturation Degree Estimation for Signalized Intersections Using Travel Time Data

Abstract

Saturation degree estimation is a vital problem of signal timing optimization. However, classic loop-detector-based algorithms are not capable to capture the severity of oversaturation, since detectors are located in front of stop lines, and also cannot distinguish the saturated degree in different lane groups if detectors are located at an upstream… (More)
DOI: 10.1109/MITS.2017.2709881

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Cite this paper

@article{Ma2017LaneBasedSD, title={Lane-Based Saturation Degree Estimation for Signalized Intersections Using Travel Time Data}, author={Dongfang Ma and Xiaoqin Luo and Sheng Jin and Dianhai Wang and Weiwei Guo and Fujian Wang}, journal={IEEE Intelligent Transportation Systems Magazine}, year={2017}, volume={9}, pages={136-148} }